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Total questions: 104

Worksheet time: 6hrs 40mins

Name
Class
Date
1.

a)

A

b)

B

c)

C

d)

D

e)

E

2.

  1. Alice collected data from every person in her neighborhood to determine the average age of people living in her neighborhood. This is an example of a…

a)

Simple Random Sample (SRS)

b)

  1. Census

c)

Cluster Random Sample

d)

Stratified Random Sample

3.

Bob is a hotel manager. He wants to know how his guests would rate their experience. He takes a random sample of 10 people on each 5 floors. This is an example of…

a)

  1. Simple Random Sample (SRS)

b)

Systematic Random Sample

c)

  1. Cluster Random Sample

d)

  1. Stratified Random Sample

4.

Sally owns a restaurant and wants to know her most popular item on the menu. When the store opens at 9 am she writes down what the first customer orders and every twenty customers after them until the store closes that day. This is an example of…

a)

Simple Random Sample (SRS)

b)

  1. Stratified Random Sample

c)

Cluster Random Sample

d)

Systematic Random Sample

5.

Nate wants to conduct an experiment to see why his goldfish keep dying. In each group he has ten fish. In group 1 he has a control group where he feeds them as normal. In the group he feeds them less than normal and in group three more than normal. He measures for the fish to die to see which tank had the largest mean survival. Which is NOT a confounding variable?

a)

  1. The amount of food

b)

  1. The pH of the tank

c)

The age of the fish at the beginning of the experiment

d)

  1. Where the tank is placed

6.

A teacher asks each person in her class how likely they are to cheat in her class. This is best an example of…

a)

  1. Undercoverage Bias

b)

  1. Non Response Bias

c)

  1. Self Reported Response Bias

d)

  1. Voluntary Response Bias

7.

John owns a restaurant and looks online at the reviews people have given who have eaten at the restaurant to see the statistics of how many people like his food. This is best an example of…

a)

Undercoverage Bias

b)

  1. Non Response Bias

c)

  1. Self Reported Response Bias

d)

  1. Voluntary Response Bias

8.

 Lyla asks everyone in her homeroom who they support for class president to see who will likely win. This is best an example of…

a)

Question Wording Bias

b)

  1. Undercoverage Bias

c)

  1. Non Response Bias

d)

  1. Self Reported Response Bias

9.

Kate randomly selected a group of people in her state and asked “Do you support all the amazing things such as helping the poor that the senator did?” This is best an example of…

a)

  1. Question Wording Bias

b)

Undercoverage Bias

c)

  1. Non Response Bias

d)

  1. Self Reported Response Bias

10.

Bill wants to know the average household income of his city to the nearest thousand. He makes a list of random residences he plans to ask and goes there early Monday morning and asks their annual household income. This is BEST an example of…

a)

  1. Question Wording Bias

b)

  1. Undercoverage Bias

c)

Non Response Bias

d)

  1. Self Reported Response Bias

11.

Sally owns a restaurant and wants to know her most popular item on the menu. When the store opens at 9 am she writes down what the first customer orders and every twenty customers after them until the store closes that day. This is an example of…

a)

Simple Random Sample (SRS)

b)

  1. Stratified Random Sample

c)

Cluster Random Sample

d)

Systematic Random Sample

12.

Jill conducts an experiment to test the growth of plants in relation to the amount of sunlight they get. Each plant receives the same amount of water. One group of plants is placed directly in the sun. One group is placed partially in the sun. The last group is placed inside, with very little sun. She records the growth after each week in inches. What is the experimental variable in this experiment?

a)

  1. The amount of water

b)

  1. The amount of sun

c)

  1. The average growth each week in inches

d)

  1. The average amount of plants grown

13.

Jim conducts an experiment to see which type of battery lasts the longest. He gathers 30 of the same flashlights and randomly separates them into groups of ten. Type A is placed in one group of flashlights, Type B is placed in another group, and type c in the final group. He records the average amount of time the flashlight stays on for. What is the response variable in this experiment?

a)

  1. The amount of time the flashlight stays on

b)

  1. The intensity of the light

c)

  1. The type of battery used

d)

  1. The type of flashlight used

14.

What are some of the properties of a well designed experiment?

I. Comparison of at least two groups

II. Random assignment of treatments

III. Completely eliminate all confounding variables that could exist

a)

  1. I, II, and III

b)

  1. I and III

c)

  1. II only

d)

  1. I and II

15.

Liam conducts a study where participants are randomly assigned into groups to test the effects of two lotions. The participants do not know what group they are in. This is an example of…

a)

  1. Randomized Block Design

b)

  1. Placebo

c)

  1. Blinding

d)

  1. Matched Pairs

16.

Can watching a documentary lead to an increase in pulse rate? The researchers had 100 volunteers record their pulse rate, then they all watched an hour long documentary about whales and after finishing the documentary they each recorded their pulse rates again. In what way is experimentation implemented in the research conducted?

a)

Placebo

b)

Blinding

c)

  1. None of these

d)

  1. Control group

17.

 Does chewing gum enhance a student's learning abilities? A researcher was convinced that students chewing gum can help students learn better. The researchers had 24 students solve a puzzle 4 times in total where two of the times were without chewing gum and the other two times were where the students chewed gum while doing the task. The test analyzers recorded the length of total time it took each of the subjects to finish the 4 puzzles. It was reported that on average the subjects who chewed gum during the completion of the puzzle had finished the puzzle faster than those that didn’t. The study was not statistically significant. But this study can be labeled as…

a)

  1. Completely randomized block design

b)

  1. Completely randomized design

c)

  1. Convenience sample

d)

  1. Matched pairs design

18.

 Which of the following is a positive benefit to use a random sample for the purpose of an observational study?

a)

  1. Results of the study could be generalized to the population of the study

b)

  1. The results of the study can be generalized to only a small certain population

c)

  1. Easier to conduct the experiment

d)

  1. Could cover many many types of different subjects

19.

A case of randomized block design where an experiment has two treatment conditions. The subjects are grouped together into pairs based on an equivalent variable. In each pair, one of the subjects is randomly assigned to one treatment and automatically the other subject is assigned to the other.

a)

  1. Placebo

b)

  1. Voluntary Response Bias

c)

  1. Cluster Random Sample

d)

  1. Matched Pairs

20.

What is a Cluster Sample?

a)

  1. Method of sampling which involves division of a population into smaller groups known as strata.

b)

  1. Where participants choose if they want to be in the sample or not

c)

  1. The entire population is divided into heterogeneous groups called clusters.

d)

  1. When a sample is chosen in a non-random way which is readily available.

21.

Walmart has 400 employees located at its main store in Morrisville meanwhile a Walmart on the outskirts of the state only has 100 employees. A random sample of 40 employees will be taken to be asked about how they feel about the benefits given to Walmart employees. What is the advantage of using a stratified random sampling where the strata would be the two different locations instead of using a simple random sample?

a)

  1. The stratified random sample would make sure that both locations of Walmart would be represented

b)

  1. There is no advantage

c)

  1. The stratified random sampling is proven to be 2x more accurate than simple random sample in every situation

d)

  1. Stratified random sampling is cheaper to implement

22.

A go kart specialist came to Rush Hour Karting to check the go karts and to make sure they aren’t malfunctioning or have any defects to them. The specialist gets tired and decides to only check the red go karts. This is known as…

a)

  1. Response Bias, where the responses are reported themselves

b)

  1. Response Bias, where the wording of the question is ambiguous

c)

  1. Undercoverage bias

d)

  1. Nonresponse bias

23.

Dollar Tree handed out surveys to shoppers as they walked into the store for a day and had received over a 100 completed surveys at the end of the day. Should the results from the survey be generalized to the entire population of who shops at Dollar Tree?

a)

  1. Yes, because the sample size is greater than 50

b)

  1. Yes, because the survey was handed out when people entered the store and not left

c)

  1. No, because a random sample from who entered the store wasn’t selected

d)

  1. No because every single customer was surveyed

24.

The founder of a company needs to obtain data of how many of the employees have high school diplomas, so the founder obtains data from all 10 of the employees who work at the founder’s company. What method is the best for this data collection?

a)

  1. Stratified sample

b)

  1. Simple random sample

c)

  1. Cluster sample

d)

Census

25.

A sample of swimmer’s will be selected from Triangle Aquatic Center. Which of the following sampling methods would least likely be considered a representative sample of the swimmers?

a)

  1. Every other swimmer that walks in the center that is at least 5’11

b)

  1. Numbering all of the swimmers and then starting at a random number and selecting every third swimmer from that point on the list

c)

  1. Divide the swimmers by the grades in school they are in and pick an equal number of swimmers by each grade.

d)

  1. Randomly choose 3 lanes from the entire swimming pool and use all the swimmers occupying the lanes at those current times.

26.

What is undercoverage bias?

a)

  1. When there is a significant difference between who chose to fill out your survey and those who didn’t

b)

  1. When segments of a population are excluded or represented less in the sample than in the population

c)

  1. When a sample is chosen in a non-random way which is readily available.

d)

  1. Alternative definition for voluntary bias

27.
Another word for average is
a)
sample 
b)
mean
c)
data
d)
numerical data
28.
To test a claim about a mean, when the population standard deviation is unknown we use:
a)
z procedures
b)
Pythagorean Theorem
c)
t procedures
d)
np > 10 and n(1-p) > 10
29.
What does it mean when a test is statistically significant?
a)
it has reached alpha level status
b)
the test statistic had a P-value higher than the alpha level
c)
the test statistic had a P-value lower than the alpha level
d)
it is important in practical terms
30.
A tire manufacturer claims that one particular type of tire will last at least 50,000 miles.  A group of angry customers does not believe this is so.  They take a sample of 14 tires to test if the mean mileage of the tires is really less than 50,000. 
What set of hypotheses are they interested in testing?
a)
a) H0: μ = 50,000 vs. Ha: μ < 50,000
b)
b)H0: x̅ = 50,000 vs. Ha: x̅ < 50,000
c)
c)H0: μ = 50,000 vs. Ha: μ ≠ 50,000
d)
d)H0: μ = 50,000 vs. Ha: μ > 50,000
31.
A tire manufacturer claims that one particular type of tire will last at least 50,000 miles.  A group of angry customers does not believe this is so.  They took a sample of 14 tires to test if the mean mileage of the tires is really less than 50,000. 
If 0.0100 < P-value < 0.0200, what decision should be made if testing at the α = 0.05 level?
a)
a)Reject H0 and conclude that the tires were not performing as claimed.
b)
b)Reject H0 and conclude that the mean tire life really is 50,000 miles.
c)
c)Do not reject H0 and conclude that the tires were not performing as claimed.
d)
d)Do not reject H0 and conclude that the mean tire life really is 50,000 miles. 
32.
Simple random samples are taken from two large populations, designated Population 1 and Population 2. Which of the following describes a situation in which the conditions for performing a two-sample t-test for the difference of two means for these populations have not been satisfied?
a)
n1 = 15, n2 = 100. The distribution of Sample 1 is symmetric and unimodal with no outliers, and the distribution of sample 2 is skewed left.
b)
n1 = 15, n2 = 15. The distributions of both samples are symmetric and unimodal with no outliers.
c)
n1 = 15, n2 = 15. The distribution of Sample 1 is symmetric and unimodal with no outliers, and the distribution of Sample 2 is skewed left with no outliers. 
d)
Sample size is irrelevant in
T-procedures.
33.
A medical researcher measured the pulse rates (beats per minute) of randomly selected adults and found the following t-based confidence interval:
With 90.00% Confidence,
71.12512 < μ(Pulse) < 73.28914
What is the correct interpretation of the t-interval? 
a)
A) We are 90% confident that the true, population mean of pulse rates is between 71.12512 and 73.28914 beats per minute.
b)
B) We are 90% confident that the true, population proportion of pulse rates is between 71.12512 and
73.28914 beats per minute.
c)
C) We are 90% confident that the sample proportion of pulse rates is between 71.12512 and 73.28914
beats per minute.
d)
D) We are 90% confident that the sample mean of pulse rates is between 71.12512 and 73.28914 beats
per minute.
34.
A medical researcher measured the pulse rates (beats per minute) of randomly selected adults and
found the following t-based confidence interval:
With 90.00% Confidence,
71.12512 < μ(Pulse) < 73.28914
What is the margin of error for this interval?
a)
A) 2.16402
b)
B)1.08201 
c)
C) 2
d)
D) 1
35.
If a level of confidence increases from 90% to 95%, which of the 4 statements given are true?
I) The margin of error increases
II) The margin of error decreases
III) The interval width increases
IV) The interval width decreases
a)
A) I only
b)
B) II and IV
c)
C) I and III
d)
D) II and III
36.
Researchers randomly select rats to complete at timed maze and collected 23 times (in seconds) with an average time of 55.6 second and a standard deviation of 2.3 seconds.
Which of the following statements is true?
a)
A) We must assume that the samples are independent.
b)
B) We must assume the distribution is nearly normal with no outliers because the sample size is not large enough
c)
C) The 10% condition is not met.
d)
D) The distribution is normal because the sample size is large enough.
37.
a)
A) Randomization Condition
b)
B) 10% Condition
c)
C) Independent Samples Condition
d)
D) Nearly Normal Distribution Condition
38.
a)
A) Ho: The mean number of days 9th grade students absent is equal to the mean number of days 12th grade students are absent.
Ha: The mean number of days 9th grade students absent is less than the mean number of days 12th grade students are absent.
b)
B) Ho: The mean number of days 12th grade students absent is less than the mean number of days 9th grade students are absent.
Ha: The mean number of days 12th grade students absent is equal to the mean number of days 9th grade students are absent.
c)
C) Ho: The mean number of days 12th grade students absent is equal to the mean number of days 9th grade students are absent.
Ha: The mean number of days 9th grade students absent is greater than the mean number of days 12th grade students are absent. 
d)
D) Ho: The mean number of days 12th grade students absent is equal to the mean number of days 9th grade students are absent.
Ha: The mean number of days 12th grade students absent is less than the mean number of days 9th grade students are absent.
39.
a)
A) Reject the Ho, so 12th grade seniors have a significantly lower mean number of absences than 9th grade freshman.
b)
B) Fail to reject the Ho, so 12th grade seniors have a significantly lower mean number of absences than 9th grade freshman.
c)
C) Reject the Ho, so there is no significant difference between 12th grade and 9th grade absences.
d)
D) Fail to reject the Ho, so there is no significant difference between 12th grade and 9th grade absences.
40.
A manufacturer receives parts from two suppliers. An SRS of 400 parts from Supplier 1 contains 20 defective parts, while an independent SRS of 100 parts from Supplier 2 contains 10 defective parts. Let p1 and p2 be the proportions of defective parts made by Supplier 1 and Supplier 2, respectively. Is there evidence of a significant difference in the proportions of defective parts made by these two suppliers?
To answer this question, you test the hypotheses 
H0 : p1 - p2 = 0 against HA : p1 - p2  ≠ 0 . Which of the following is closest to the P-value of the test?
a)
0.9398
b)
0.0602
c)
0.0301
d)
It cannot be determined.
41.
Jorge's score on Exam 1 in his statistics class was at the 64th percentile of the scores for all students. His score falls
a)
between the minimum and the first quartile
b)
between the first quartile and the median
c)
between the median and the third quartile
d)
between the third quartile and the maximum
42.
When Sam goes to a restaurant, he always tips the server $2 plus 10% of the cost of the meal. If Sam's distribution of meal costs has a mean of $9 and a standard deviation of $3, what are the mean and standard deviation of the distribution of tips?
a)
$2.90, $0.30
b)
$2.90, $2.30
c)
$11.00, $2.00
d)
$2.00, $0.90
43.
Scores on the ACT college entrance exam follow a bell-shaped distribution with mean 18 and standard deviation 6. Wayne's standardized score on the ACT was -0.5. What was Wayne's actual ACT score.
a)
5.5
b)
12
c)
15
d)
17.5
44.
George has an average bowling score of 180 and bowls in a league where the average for all bowlers is 150 and the standard deviation is 20. Bill has an average bowling score of 190 and bowls in a league where the average is 160 and the standard deviation is 15. Who ranks higher in his own league, George or Bill?
a)
Bill, because his 190 is higher than George's 180.
b)
Bill, because his standardized score is higher than George's.
c)
Bill and George have the same rank in their league because both are 30 pins above the mean.
d)
George, because his standardized score is higher than Bill's.
45.
What is the interquartile range for the distribution of absences as shown in the cumulative relative frequency graph?
a)
1
b)
3
c)
2
d)
5
46.
Two measures of center are marked on the density curve shown. Which of the following is correct?
a)
The median is at the yellow line and the mean is at the red line
b)
The median is at the red line and the mean is at the yellow line
c)
The mode is at the red line and the median is at the yellow line
d)
The mode is at the yellow line and the median is at the red line
47.
The weights of laboratory cockroaches follows a Normal distribution with mean 80 grams and standard deviation 2 grams. The following figure is the Normal curve for the distribution of weights.
Point C on the Normal curve corresponds to
a)
84 grams
b)
74 grams
c)
78 grams
d)
82 grams
48.

The weights of laboratory cockroaches follows a Normal distribution with mean 80 grams and standard deviation 2 grams. About what percent of the cockroaches will have weights between 76 and 84 grams?

a)

99.7%

b)

68%

c)

34%

d)

95%

49.

The weights of laboratory cockroaches follows a Normal distribution with mean 80 grams and standard deviation 2 grams. About what proportion of cockroaches will have weights greater than 83 grams?

a)

0.0228

b)

0.1587

c)

0.0772

d)

0.0668

50.
A different species of cockroaches has weights that follow a Normal distribution with a mean of 50 grams. After measuring the weights of many of these cockroaches, a lab assistant reports that 14% of the cockroaches weigh more than 55 grams. Based on this report, what is the approximate standard deviation of weights for this species of cockroaches?
a)
4.6
b)
14.0
c)
5.0
d)
6.2
51.
Many professional schools require applicants to take a standardized test. Suppose that 1000 students take such a test. Several weeks after the test, Pete receives his score report: he got a 63, which placed him at the 73rd percentile. This means that
a)
Pete did worse than about 63% of the test takers.
b)
Pere did worse than about 73% of the test takers.
c)
Pete did better than about 63% of the test takers.
d)
Pete did better than about 73% of the test takers.
52.
For the Normal distribution shown, the standard deviation is closest to
a)
1
b)
2
c)
3
d)
5
53.
Rainwater was collected in water collectors at 30 different sites near an industrial complex, and the amount of acidity (pH level) was measured. The mean and standard deviation of the values are 4.60 and 1.10, respectively. When the pH meter was recalibrated back at the laboratory, it was found to be in error. The error can be corrected by adding 0.1 pH units to all of the values and then multiplying the result by 1.2. The mean and standard deviation of the corrected pH measurements are
a)
5.64, 1.44
b)
5.64, 1.32
c)
5.40, 1.44
d)
5.40, 1.32
54.
If the heights of a populations follow a Normal distribution, and the middle 99.7% have heights between 5'0" and 7'0", what is your estimate of the standard deviation of the heights in the population?
a)
1"
b)
3"
c)
4"
d)
6"
55.

Until the scale changed in 1995, SAT scores were based on a scale set many years ago. For Math scores, the mean under the old scale in the 1990s was 470 and the standard deviation was 110. In 2013, the mean was 515 and the standard deviation was 116.

What is the standardized score for a student who scored 500 on the old SAT scale?

a)

0.27

b)

-0.27

c)

-0.13

d)

0.13

56.
Until the scale changed in 1995, SAT scores were based on a scale set many years ago. For Math scores, the mean under the old scale in the 1990s was 470 and the standard deviation was 110. In 2013, the mean was 515 and the standard deviation was 116.
Gina took the SAT in 1994 and scored 500. Her cousin Colleen took the SAT in 2013 and scored 530. Who did better on the exam, and how can you tell?
a)
Colleen - she scored 30 points higher than Gina
b)
Colleen - her standardized score is higher than Gina's
c)
Gina - her standardized score is higher than Colleen's
d)
Gina - the standard deviation was bigger in 2013
57.

The mean number of points per game scored by basketball players during a high school championship is 9.4, and the standard deviation is 1.5. Assuming that the number of points are normally distributed, what number of points per game will place a player in the top 15% players taking part in the basketball championship?

a)

7.84

b)

9.93

c)

10.96

d)

12.56

58.

The heights of 100 students are normally distributed with a mean of 172cm. What is the standard deviation of the heights given that the probability of a height above 180cm is 0.25?

a)

8 cm

b)

9.2 cm

c)

10 cm

d)

11.9 cm

59.

A population of bolts has a mean thickness of 20 millimeters with a standard deviation of 0.01 millimeters. Give in millimeters, a minimum and a maximum thickness that includes 68% of the population of bolts.

a)

19 mm to 21 mm

b)

19.98 mm to 20.02 mm

c)

19.99 mm to 20.01 mm

d)

19.97 mm to 20.03 mm

60.

You measured the weights of members of population W and found the weights to be normally distributed. The distribution has a population mean (μ) weight of 160 pounds and a population standard deviation (σ) of 25 pounds. What is the percentile for the weight of 160 pounds?

a)

50th

b)

10th

c)

30th

d)

75th

61.

You measured the weights of members of population W and found the weights to be normally distributed. The distribution has a population mean (μ) weight of 160 pounds and a population standard deviation (σ) of 25 pounds. What is the probability, to the nearest tenth of a percent, that a randomly selected student will weigh between 140 and 180 pounds?

a)

20.2%

b)

67.7%

c)

95%

d)

57.6%

62.

To the nearest whole number, what percentile is associated with z = -.67?

a)

10th

b)

40th

c)

25th

d)

75th

63.

For a normal distribution with mean 480 and standard deviation 32, find the values for Q1, median, and Q3.

a)

502, 458, 480

b)

458, 480, 502

c)

400, 500, 600

d)

Cannot be determined

64.
The distances male long jumpers for State College jump are approximately normal with a mean of 263 inches and a standard deviation of 14 inches.  
What is the probability the next male long jumper from State College jumps longer than 270 inches?
a)
0.1888
b)
0.3085
c)
0.8035
d)
0.3585
65.

According to the portion of the frequency table given, how many people have an MBA?

a)

9

b)

20

c)

60

d)

not enough information

66.
The mean weight of an adult female beagle is 28 pounds with a standard deviation of 3 pounds.  The mean weight of an adult female boxer is 70 pounds with a standard deviation of 6 pounds.  A beagle named Suzie weighs 34 pounds.  How much would a female boxer have to weigh in order for her to have the same z-score as Suzie?
a)
70 pounds
b)
76 pounds
c)
80 pounds
d)
82 pounds
67.
Here is the dot plot of voter turnout (as a percentage of voting-age population) for the 50 states—plus the District of Columbia—in a recent presidential election. Which of the following best describes this distribution?
a)
The distribution of voter turnout is skewed slightly left, centered at about 62%, with a range of 24%.
b)
The distribution of voter turnout is roughly symmetric, centered at about 60%, with a range of 30%.
c)
The distribution of voter turnout is skewed slightly right, centered at about 62%, with a range of 24%.
d)
The distribution of voter turnout is bimodal, centered at about 60%, with a range of 30%.
68.
Which of the distributions displayed in the dot plots below has the highest standard deviation?
a)
Distribution A
b)
Distribution B
c)
Distribution C
69.
According to the 1.5 x IQR rule, how many outliers are there in the data set 72, 110, 114, 115, 118, 123, 144, 156?
a)
None
b)
One
c)
Two
d)
Three
70.

An adult male aged 20-29 who is 73 inches tall would be shorter than what percent of males in his age group?

a)

10%

b)

15%

c)

85%

d)

90%

71.

In a survey of men in the United States (ages 20-29), the mean height was 69.6 inches with a standard deviation of 3.0 inches. Find the minimum height in the top 22%.

a)

69.37 in

b)

67.58 in

c)

73.12 in

d)

71.92 in

72.

What is the equation of the LSRL

a)

y-hat = 3.367 - 0.062x

b)

y-hat = 3.3 - 0.6x

c)

y-hat = -0.062 + 3.3x

d)

y-hat = 3.3 + 3.3x

73.
The correlation coefficient for the relationship between number of hours per week spent working at an off campus job and overall gpa for 125 college students was -0.64. What percent of the variation in gpa can be explained by the linear relationship between  number of hours and gpa?
a)
80%
b)
-80%
c)
41%
d)
-41%
74.

The equation of the least squares regression line for a set of points in a scatterplot is given above. The point (5, 7) is one point on this scatterplot. Which of the following is the residual for the point (5, 7)?

a)

6.25

b)

4.05

c)

0.71

d)

0.75

e)

7.87

75.

Is the following question statistical or non statistical?

How many siblings does each Longview student have?

a)

Statistical

b)

Non Statistical

76.
Is the following question statistical or non statistical?
How many ceiling tiles are in our classroom?
a)
Statistical
b)
Non Statistical
77.
What is the median?
a)
62
b)
58
c)
66
d)
60
78.
Is the following question statistical or non statistical?
How many ceiling tiles are in our classroom?
a)
Statistical
b)
Non Statistical
79.
What value is the lower quartile?
a)
66
b)
58
c)
60
d)
64
80.
Which interval has the highest frequency?
a)
9 - 10 books
b)
7-8 Books
c)
5-6 Books
d)
3-4 Books
81.

Describe the shape of the graph.

a)

Skewed right

b)

Skewed left

c)

Random

d)

Symmetrical

82.

What is the interquartile range (IQR) of this data?

a)

7

b)

12

c)

13

d)

8

83.

Which of the following represents the appropriate null & alternative hypotheses?

The mean height of women is greater than 64"

a)

H₀: μ > 64"

Hₐ: μ ≠ 64"

b)

H₀: μ < 64"

Hₐ: μ > 64"

c)

H₀: p > 64"

Hₐ: p ≠ 64"

d)

H₀: p = 64"

Hₐ: p > 64"

84.

Identify the correct null hypothesis:


Is the proportion of babies born male different from 50%? In a sample of 200 babies, 96 were male. Test the claim using a level of significance of 1%.

a)

H0: p = 0.50

b)

H0: µ = 100

c)

H0: p = 0.48

d)

H0: µ = 96

85.
Which of the following shows a right-tailed test?
a)
Ha: µ < 15
b)
H0: µ < 15
c)
Ha: µ > 15
d)
H0: µ > 15
86.
In testing hypotheses, which of the following would be strong evidence against the null hypothesis?
a)
using a small level of significance
b)
using a large level of significance
c)
obtaining data with a small p-value
d)
obtaining data with a low test statistic
87.
What is the critical value (in a test about proportions) for a left-tailed test with α = 0.05 and n ≥ 30. 
a)
z0 = -1.645
b)
z0 = -2.33
c)
z0 = -1.96
d)
z0 = 2.58
88.
A P-value indicates:
a)
the probability that the null hypothesis is true
b)
the probability that the alternative hypothesis is true
c)
the probability of obtaining the results (or one more extreme) if the null hypothesis is true
d)
probability of a Type I error
89.

Suppose the P-value for a hypothesis test is 0.0304. Using a = 0.05, what is the appropriate conclusion?

a)

a) Reject the null hypothesis

b)

b) Reject the alternative hypothesis

c)

c) Fail to reject the null hypothesis

d)

d) Fail to reject the alternative hypothesis

90.

When p-value is greater than alpha we:

a)

Reject Ho

b)

Fail to reject Ha

c)

Fail to reject Ho

d)

Reject Ha

91.

A mayor is concerned about the percentage of city residents who express disapproval of his job performance. His political committee pays for a newspaper ad, hoping to keep his disapproval rating below 21%. They will use a follow up poll to access effectiveness. What are the correct null and alternative hypotheses?

a)

Ho: μ > 21

Ha: μ < 21

b)

Ho: p > .20

Ha: p < .20

c)

Ho: p < .21

Ha: p > .21

d)

Ho: p > .21

Ha: p < .21

92.

A large-scale study found that 42% of Americans play video games. A random sample of 1100 teenagers were asked whether they play games online; 575 said they did. Is there sufficient evidence to suggest that the proportion of teens who play video games is different from the national figure? Use a 5% level of significance.


Select the correct hypotheses. (2 answers)

a)

H0: p = 0.42

b)

Ha: p = 0.42

c)

H0: p = 775/1100

d)

Ha: p ≠ 0.42

e)

Ha: p ≠ 775/1100

93.

A large-scale study found that 42% of Americans play video games. A random sample of 1100 teenagers were asked whether they play games online; 575 said they did. Is there sufficient evidence to suggest that the proportion of teens who play video games is different from the national figure? Use a 5% level of significance.


Which is the correct p-value for this test?

a)

5.08 x 10 -12

b)

2.84 x 10 -91

c)

2.56 x 10 -12

d)

0

94.

Sally reads a newspaper report claiming that 12% of all adults in the U.S. are left-handed. She decides to test this claim. Sally selects a random sample of 55 classmates and finds that 9 were left-handed. Does this provide sufficient evidence that the proportion of lefties in Sally’s school is different than the national figure? Use α = 0.01.


Select the correct hypotheses. (2 answers)

a)

H0: p = 0.12

b)

Ha: p = 0.12

c)

H0: p = 9/55

d)

Ha: p ≠ 0.12

e)

Ha: p ≠ 9/55

95.

A large-scale study found that 42% of Americans play video games. A random sample of 1100 teenagers were asked whether they play games online; 575 said they did. Is there sufficient evidence to suggest that the proportion of teens who play video games is different from the national figure? Use a 5% level of significance.


Which is the correct conclusion for this test?

a)

Snice p-value = 5.08 x 10 -12 < 0.05, I reject H0. There is enough evidence to suggest a difference.

b)

Snice p-value = 5.08 x 10 -12 < 0.05, I fail to reject H0. There is enough evidence to suggest a difference.

c)

Snice p-value = 5.08 > 0.05, I fail to reject H0. There is not enough evidence to suggest a difference.

d)

Snice p-value = 5.08 > 0.05, I reject H0. There is enough evidence to suggest a difference.

96.

Sally reads a newspaper report claiming that 12% of all adults in the U.S. are left-handed. She decides to test this claim. Sally selects a random sample of 55 classmates and finds that 9 were left-handed. Does this provide sufficient evidence that the proportion of lefties in Sally’s school is different than the national figure? Use α = 0.01.


Which is the correct p-value for this test?

a)

0.160

b)

0.319

c)

0.508

d)

0.492

97.

When p-value is greater than alpha we:

a)

Reject Ho

b)

Fail to reject Ha

c)

Fail to reject Ho

d)

Reject Ha

98.
Which of the following hypotheses is a valid example of a 1-tailed test?
a)
Ho: p = 0.3, Ha: p > 0.4
b)
Ho: p = 0.3, Ha: p ≠ 0.3
c)
Ho: p^ = 0.3, Ha: p^ > 0.3
d)
Ho: p = 0.3, Ha: p > 0.3
99.
A confidence interval estimate is determined from the summer earnings of a SRS of n students. All other things being equal, which of the following will result in a smaller margin of error?
a)
A greater confidence level
b)
A larger sample standard deviation
c)
A larger sample size
d)
Introducing bias into sampling
100.
A state university wants to increase it retention rate of 4% for graduating students from the previous year.  After implementing several new programs during the last two years, the university reevaluates it retention rate and comes up with a P-value of 0.075.  What is a reasonable conclusion?
a)
There is a92.5% chance of the new programs having no effect on retention.
b)
There is a 7.5% chance of the new programs having no effect on retention.
c)
We can say there is a 7.5% chance of seeing the new programs having no effect on retention in the results we observed from natural sampling variation.  There is no evidence the new programs are more effective, but we cannot conclude that they have no effect on retention.
d)
There's only a 7.5% chance of seeing the new programs having no effect on retention in the results we observed from natural sampling variation.  We conclude the new programs are more effective.
101.
The probability of observing a value for a test statistic at least as far from the hypothesized value as the statistic value actually observed if the null hypothesis is true
a)
P-Hat
b)
One-Proportion z-test
c)
Z*
d)
P-Value
102.

In a study to determine the average height of students in a school, which of the following sampling methods would most likely provide a representative sample?

a)

  1. Choosing students who volunteer to participate

b)

  1. Randomly selecting students from each grade level

c)

  1. Selecting students based on their academic performance

d)

  1. Choosing students who are present in the library

103.

In a normal distribution, approximately what percentage of data falls within one standard deviation of the mean?

a)

50%

b)

68%

c)

95%

d)

99.7%

104.

Which of the following is an example of a confounding variable in an experiment testing the effect of a new drug on blood pressure?

a)

  1. The dosage of the drug

b)

  1. The age of the participants

c)

  1. The brand of the drug

d)

  1. The time of day the drug is administered

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