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RESEARCH METHODS + DESCRIPTIVE STATS

Total questions: 130

Worksheet time: 5hrs 40mins

Name
Class
Date
1.

How many cities have temperatures between 70 degrees and 99 degrees?

a)

44

b)

34

c)

26

d)

62

2.

How many students have more than 1,000 songs on their MP3 player?

a)

5

b)

16

c)

10

d)

4

3.

How many students spent over 40 minutes but under 60 minutes studying?

a)

22

b)

30

c)

8

d)

5

4.

How many people visited the cinema twice?

a)

28

b)

20

c)

25

d)

30

5.

Isiah collects data from two different companies, each with four employees. The results of the study, based on each worker's age and salary, are listed in the tables above.

Which statement is true about these data?

a)

The median salaries in both companies are greater than $37,000

b)

The mean salary in company 1 is greater than the mean salary in company 2

c)

The salary range in company 2 is greater than the salary range in company 1

d)

The mean age of workers at company 1 is greater than the mean age of workers at company 2

6.

Within what frequency range did most students pay for their textbooks?

(Hint: Be careful with scales)

a)

88-99

b)

100-109

c)

110-119

d)

120-129

7.

The distribution of household incomes in a small town is strongly skewed to the right. The mean income is $42,000 and the standard deviation is $24,000. The Ames family’s household income is $60,000. The z-score for the Ames family’s income is

a)

-0.75

b)

0.3

c)

0.75

d)

0.86

e)

None of these, because z-score cannot be used unless the distribution is Normal

8.
The 40 yards sprint times for a soccer team are found to be normally distributed with a mean of 5.2 seconds and a standard deviation of 0.3 seconds.  What is the z-score for a player who runs a time of 5.6 seconds?
a)
-1.33
b)
1.33
c)
0.88
d)
1.02
9.
The scoring of modern IQ is such that Intelligence Quotients (IQs) have a normal distribution of μ= 100 and 𝞂 = 15.

Mensa International is a non-profit organization that accepts only people with IQ score within the top 2%. What level of IQ qualifies one to be a member of Mensa?
a)
115
b)
130.75
c)
145
d)
120
10.

Given a mean of 75 and a standard deviation of 7, what percentage of scores are greater than 68?

a)

34%

b)

84%

c)

95%

d)

68%

11.
Which is NOT true about the standard normal distribution?
a)
It is bell-shaped.
b)
It is unimodal.
c)
The mean is 0 and the standard deviation is 1.
d)
It is asymmetrical.
12.
The z-score represents.....
a)
the amount of standard deviations a data value is above or below the mean.
b)
the percentile the data value is above or below the mean.
c)
the amount of standard deviations a data value is above or below the median.
d)
the percent the data value is above or below the mean.
13.

If I tell you that you scored at the 55th percentile on your final exam, you would know:

a)

55% of the class scored the same or worse than you did

b)

You earned a 55% on the exam

c)

You failed the exam

d)

45% of the class scored worse than you did

14.

On the math portion of the SAT, scores are roughly normal, with a mean of 500 and a standard deviation of 100. What percent of scores are above 400?

a)

68%

b)

81.5%

c)

84%

d)

99.7%

15.

On the math portion of the SAT the scores are roughly normal with a mean of 500 and a standard deviation of 100. Between what two values do approximately 95% of scores lie?

a)

500-600

b)

200-800

c)

300-700

d)

500-800

16.
The mean number of accidents a week at a company is 6.4 with a standard deviation of 1.5.  What proportion of weeks would you expect to have more than 7 accidents?
a)
0.3446
b)
0.2856
c)
0.4
d)
0.6554
17.

This distribution is ​ (a)   so we should use the ​ (b)   as a measure of center and the ​ (c)   as a measure of variability.

Choose from the below words
fairly symmetric
mean
standard deviation
left skewed
range
mode
median
IQR
right skewed
18.
According to the empirical rule, how much of the data falls within 3 standard deviations? 
a)

25%

b)

68%

c)

95%

d)

99.7%

19.

Which statement(s) is/are true about the histogram?

a)

The median is higher than the mean.

b)

The median has a lower than the mean.

c)

The graph is skewed right.

d)

The graph is skewed left.

20.

What is the standard deviation on this Normal Curve?

a)

6

b)

12

c)

34

d)

18

21.

What does it mean to have a z-score of z=0z=0  on a quiz?

a)

It means you did better than zero people.

b)

It means you scored the same grade as the average grade.

c)

It means you earned a zero on the quiz.

d)

It means the average score was a zero.

22.

1.  Which best describes the shaded part of this approximately normal distribution graph?  

a)
All data that is one or higher.
b)
All data that is one or more standard deviations above the mean.
c)
All data that is between 1 and 3.
d)
All data that is above the mean.
23.

The distribution of household incomes in a small town is strongly skewed to the right. The mean income is $42,000 and the standard deviation is $24,000. The Ames family’s household income is $60,000. The z-score for the Ames family’s income is

a)

-0.75

b)

0.3

c)

0.75

d)

0.86

e)

None of these, because z-score cannot be used unless the distribution is Normal

24.

What percent of a normal distribution lies outside of ±3 standard deviations?

a)

99.7%

b)

.15%

c)

.3%

d)

100%

25.

This data is normally distributed. What percent of the data is in the shaded region?

a)

68%

b)

95%

c)

99.8%

d)

50%

26.

This data is normally distributed. What percent of the data is in the shaded region?

a)

68%

b)

32%

c)

16%

d)

50%

27.
This data is normally distributed.  What percent of the data is in the shaded region?
a)
5%
b)
95%
c)
2.5%
d)
50%
28.

What percent is represented by the area between -2 and 0?

a)

68%

b)

34%

c)

47.5%

d)

95%

29.

What percent is represented by the area between -1 and 2?

a)

34%

b)

68%

c)

81.5%

d)

95%

30.

What percent is represented by the area between -2 and -1?

a)

12%

b)

13.5%

c)

15.75%

d)

34%

31.

Which of the following is the mean for the data set: 4, 4, 5, 6, 7, 7, 7, 8, 15?

a)

4

b)

7

c)

9

32.

What kind of relationship?

a)

Positive Correlation

b)

Negative Correlation

c)

No Relationship

33.

What kind of relationship?

a)

Positive Correlation

b)

Negative Correlation

c)

No Relationship

34.
If you were testing how well different dish soap cleaned grease, the independent (experimental) variable would be the:
a)
Dishes
b)
Water
c)
Dish Soap
d)
Types of Grease
35.
"If the forest is clear-cut (cutting down all the trees in an area of forest), then it will result in drier soils because there will not be any trees to protect the soil from sunlight" is an example of:
a)
a theory
b)
a hypothesis
c)
an experimental question
d)
a conclusion
36.

What is the purpose of randomization in experiments?

a)

To manipulate the independent variable

b)

To increase external validity

c)

To minimize bias and increase validity

d)

To control the dependent variable

37.

What is the role of control variables in an experiment?

a)

To manipulate the independent variable

b)

To increase the external validity

c)

To ensure the outcome is not altered

d)

To control the dependent variable

38.
What would the INDEPENDENT variable be in an experiment testing which types of paper airplane goes furthest?
a)
the paper used
b)
the type of paper airplane
c)
the distance of each plane's flight
d)
how hard the plane is thrown
39.
Dilcia wants to know how drinking milk affects how tall a Monica grows. Which is the independent variable?
a)
Monica's growth
b)
drinking milk
40.
Marcos wants to know: Does the type of gasoline put in a car effect how fast the car can drive? What is the independent variable?
a)
Type of gasoline
b)
which car the gas is put into
c)
how fast the car can drive
d)
how much gas is put into the car
41.
Angelina set up an experiment to see how the mass of a ball affects the distance it rolls off a ramp. Identify the independent variable.
a)
Distance traveled by the ball
b)
Height of the ramp
c)
Mass of the ball
d)
Who set up the experiment (Ms. S, etc)
42.

True of False


The dependent variable is responsive to the independent variable.

a)

True

b)

False

43.
Molly investigated if the age of students caused them to be better drivers. What is the independent variable?
a)
Type of car
b)
Skill of driving
c)
Age of student
44.
Changes in the _________ variable causes changes in the _________ variable.
a)
independent; dependent
b)
dependent; independent
45.
Factors that cause differences between the experimental group and control group other than the independent variable. 
a)
control group
b)
population
c)
confounding variables
46.
In a study of the effect of a driver training program on driving skill, a possible operationalisation of the dependent variable would be...
a)
driving quality
b)
number of accidents
c)
hours spent training
d)
amount of traffic
47.

What type of correlation does this scatterplot show?

a)

Positive

b)

Negative

c)

No Correlation

48.

Which day of the week had the lowest temperature?

a)

Monday

b)

Thursday

c)

Tuesday

d)

Wednesday

49.

What is the independent variable in this graph?

a)

Tadpoles

b)

Year

c)

Frogs

d)

Number of tadpoles in the pond

50.

What percentage does a whole pie chart represent?

a)

360%

b)

90%

c)

50%

d)

100%

51.

What is a double-blind study?

a)

A study that focuses on one or a few people

b)

A study that compares multiple segments of a population at a single time

c)

An experiment where both the researchers and participants are blind to group assignments

d)

A tendency to ignore evidence that disproves ideas or beliefs

52.

A scientist wants to study the effects of different quantities of Aspirin on the cold. Which is the independent variable?

a)

The different quantities of Aspirin.

b)

An improvement in the symptoms of the illness.

53.

A scientist wants to see if birds prefer different colours of lights at night. She sets a lamp with a red bulb in her garden for one week, yellow for another week, blue for another week. She counts how many birds come into her garden every night for all three weeks. Which is the dependent variable?

a)

The colour of the light bulbs.

b)

The number of birds which come into the garden.

54.

A scientist wants to understand if stress can affect memory. She tests this hypothesis by observing teachers teaching students quietly, peacefully, gently and other teachers teaching by shouting and getting angry. The students are tested and the results show that the students with the calm teachers got better grades. Which is the dependent variable?

a)

The grades the students got.

b)

The angry, shouting teachers.

55.

A teacher wants to know if playing relaxing music during study time helps students study better. Every day for one week the teacher plays nice music to the students, then gives them a test. Next week the students study without music then do a test. The grades from the first week are 10% higher than the grades from the second week. What is the independent variable?

a)

The music (or lack of) during study time.

b)

The grades of the two tests.

56.

David measures how many inches his tomato plant grows every week.

IV: ​ (a)  

DV: ​ (b)  

Choose from the below words
week
inches
David
sunlight
57.
a)
The dependent variable is total cost
b)
The dependent variable is weight
c)
The independent variable is total cost
d)
The independent variable is cost of a package
58.

Examine each scatterplot and identify each as showing a positive correlation, a negative correlation or no correlation. ​ ​ ​ ​ ​

59.

Examine the scatterplot below and identify it as showing a positive correlation, a negative correlation or no correlation.

60.

Match the following

a)

r = 0.17

1.

weak positive

b)

r = - 0.62

2.

moderate negative

c)

r = 0.91

3.

strong positive

d)

r = - 0.88

4.

strong negative

e)

r = - 0.25

5.

weak negative

61.
The scatterplot shows the relationship between the number of tickets bought and the amount of money spent buying tickets.  Which would be a reasonable prediction for the cost of buying 6 tickets?
a)
$8
b)
$15
c)
$12
d)
$10
62.

Records of sales of umbrellas and amount of rainfall suggests that there is a strong positive relationship between the two variables. What do you think about the situation in terms of explanatory and response variables?

a)

Amount of sales of umbrellas is an explanatory variable.

b)

Amount of rainfall is an explanatory variable

c)

The connection between the variables is not clear

d)

The two variables are independent of each other.

63.

We wish to investigate the relationship between the time spent shopping and the number of items bought. The response variable (RV) is

a)

The number of items bought

b)

The number of items at the shop

c)

The time spent shopping

d)

The time spent getting to the shops

64.

Match the following scatterplots to their descriptions.

a)

1.

No association

b)

2.

Moderate positive linear association

c)

3.

Strong positive linear association

d)

4.

Strong negative non-linear association

e)

5.

Moderate negative linear association

65.

A math teacher observed that as the number of hours students studied their multiplication facts increased, the number of errors the students made on their multiplication tests decreased. Which scatterplot could support this teacher's observation?

a)
b)
c)
d)
66.

Estimate the correlation coefficient

a)

r = 1

b)

r = -1

c)

r ≈ -0.8

d)

r ≈ 0.8

e)

r ≈ -0.5

67.
This data is normally distributed.  What percent of the data is in the shaded region?
a)
68%
b)
95%
c)
99.7%
d)
50%
68.

All of the below sets have the same mean.


Set 1-Standard Deviation=3.1


Set 2-Standard Deviation=4.9


Set 3-Standard Deviation=1.7


Set 4-Standard Deviation=3.2


Which set of data probably has the points closest to the mean?

a)

1

b)

2

c)

3

d)

4

69.
What’s the mode?
a)
1
b)
2
c)
7
d)
9
70.

What is the most used number in a data set?

a)

mean

b)

median

c)

mode

d)

maximum

71.

The hypothesis that two groups are the same.

a)

Alternative hypothesis

b)

Experimental hypothesis

c)

Null hypothesis

d)

Statistical hypothesis

72.

Which of the following is NOT a null hypothesis?

a)

Cats are no smarter than dogs

b)

Americans enjoy hot dogs twice as much as hamburgers

c)

There is no difference in test scores of students who drink coffee and those that don't

d)

Students spend as much time on TikTok as on Instagram

73.

p = 0.0203

a)

Reject the null hypothesis

b)

Fail to reject the null hypothesis

74.

p = 0.0203

a)

Reject the null hypothesis

b)

Fail to reject the null hypothesis

75.

How likely it is to get a result like the observed result if the null hypothesis is true.

a)

Alternative hypothesis

b)

Chi-squared value

c)

Critical value

d)

p-value

76.

The image displayed would be considered what type of distribution?

a)

Skewed Left

b)

Skewed Right

c)

Symmetrical

d)

Outlier

77.

T - tests compare the mean difference between how many means?

a)

0

b)

1

c)

2

d)

More than 2

78.

If I concluded that I received a p value of .01; however, I mistakenly Failed to reject the null hypothesis, what type of error have I conducted?

a)

Type l Error

b)

Type 2 Error

c)

Type 3 Error

d)

Type 4 Error

79.

Type 1 error occurs when?

a)

a) We reject H0 if it is True

b)

b) We reject H0 if it is False

c)

c) We accept H0 if it is True

d)

d) We accept H0 if it is False

80.

Alternative hypothesis also called as

a)

Null Hypothesis

b)

Composite Hypothesis

c)

Researchers Hypothesis

d)

Simple Hypothesis

81.

The null hypothesis is represented by:

a)

Ha

b)

Ho

c)

t*

d)

HP

e)

μ

82.

Data which can be ranked from smallest to largest

a)

Nominal

b)

Ordinal

c)

Interval

d)

Ratio

83.

The "p" in p-value stand for:

a)

Population

b)

Probability

c)

Popularity

d)

Popcorn

84.

Which symbol represents the mean of a sample?

a)

μ\mu  

b)

x\overline{x}  

c)

σ\sigma  

d)

ss  

85.

What is the lowest recommended confidence interval one should use to predict the population mean?

a)

90%

b)

95%

c)

50%

d)

any percentage is fine

86.

What are two examples of inferential statistics?

a)

Range and percentiles.

b)

Mean and probability distributions.

c)

Regression analysis and hypothesis testing.

d)

Variance and correlation.

87.

The difference between the highest and lowest scores in a distribution.

a)

standard deviation

b)

variance

c)

range

d)

dependent variable

88.

Which of the following best describes a Type I error?

a)

The null is true, but we mistakenly reject it.

b)

The null is false and we reject it.

c)

The null is false, but we fail to reject it.

d)

The null is true but we fail to reject it.

e)

The null is true, and we fail to reject it.

89.

The null hypothesis is represented by:

a)

Ha

b)

Ho

c)

t*

d)

HP

e)

μ

90.
How many people have two or less books in their desk?
a)
4
b)
5
c)
6
d)
7
91.

What two factors are said to be violated to be considered non parametric?

a)

mean

b)

idependence

c)

randomness

d)

variance

92.

If the Critical region is evenly distributed then the test is referred as?

a)

a) Two tailed

b)

b) One tailed

c)

c) Three tailed

d)

d) Zero tailed

93.

Converting multiple data source into a single unified schema is known as

 

a)

preprocessing

b)

data reduction

c)

data integration

d)

data regression

94.
What type of association does this graph have?
a)
positive
b)
negative
c)
none
d)
all of the above
95.
The coefficient of determination tells us: 
a)
The correlation and all the things that go with it. 
b)
The answer to the question being asked.
c)
The percentage of data that is on the line of best fit.
d)
The equation to the line of best fit.
96.
Describe the correlation in the graph shown.
a)
Strong Negative
b)
Strong Positive
c)
Weak Negative
d)
No Correlation
97.
Describe the correlation in the graph shown.
a)
Strong Negative
b)
Strong Positive
c)
Weak Negative
d)
Weak Positive
98.
r=-0.89
a)
Strong positive 
b)
Weak positive 
c)
Strong negative 
d)
Weak negative 
99.
As x increases, y decreases.
a)
no correlation
b)
negative correlation
c)
correlation coefficient
d)
positive correlation
100.

1. For a certain class, the relationship between the amount of time spent studying and the test grade earned was examined. It was determined that as the amount of time they studied increased, so did their grades. This is a positive association.

a)

True

b)

False

101.

What are two examples of inferential statistics?

a)

Range and percentiles.

b)

Mean and probability distributions.

c)

Regression analysis and hypothesis testing.

d)

Variance and correlation.

102.

If we select 100 persons from 25,000 registered voters and question them about candidates and issues, the 100 persons are referred to as the population.

a)

True

b)

False

103.
Rearrange the steps of hypothesis testing below
I.  Make a decision
II.  State the hypotheses
III.  Select the alpha level
IV.  Locate the critical region
V.  Compute the test statistic
a)
a)  I, II, III, IV, V
b)
a)  II, IV, I, III, V
c)
a)  II, III, IV, V, I
d)
a)  III, V, IV, II, I
104.
Below are properties of the standard deviation, except
a)
a)  The sum up of deviation scores in a distribution will be zero.
b)
a)  If the mean changes and each data changed constantly, the standard deviation will have a new value.
c)
a)  If a constant is added to every score in a distribution, the standard deviation will not be changed.
d)
a)  If each score in a distribution is multiplied by a constant, the standard deviation will be multiplied by the same constant.
105.
Factors that affect variability are
I.  Infinite scores
II.  Manipulating sample size
III.  Single or multiple extreme values
IV.  The range that changes unpredictably from sample to sample
a)
a)  I and II
b)
a)  III and IV
c)
a)  I, II and III
d)
a)  All of the above
106.

Income of a family is an example of

a)

Quantitative data

b)

Qualitative data

c)

Saving

107.

You randomly select two students from each classroom

a)

stratified sample

b)

convenience sample

c)

systematic sample

d)

cluster sample

108.

How many drivers were interviewed regarding their preferred vehicle?

a)

156

b)

240

c)

84

d)

180

109.

What percent of the drivers interviewed are female?

a)

70%

b)

80%

c)

75%

d)

65%

110.

Linear regression analysis produces an equation of Y = 7 - 3.2X. This indicates that:

a)

An X value of 0 would would increase Y by 7.

b)

A 1 unit decrease in X results in a 3.2 unit decrease in Y.

c)

A 1 unit increase in X results in a 3.2 unit increase in Y.

d)

A 1 unit increase in X results in a 3.2 unit decrease in Y.

111.

A regression model in which more than one independent variable is used to predict the dependent variable is called as _________.

a)

a simple linear regression model

b)

a multiple regression model

c)

an independent model

112.

What is a Type II error?

a)

Failing to reject a null hypothesis when it is true

b)

Rejecting a null hypothesis when it is true

c)

Failing to reject a false null hypothesis

d)

Rejecting a null hypothesis when there are differences between the two groups

113.

What is the z-score for a data value that is below the mean by 2 standard deviations?

a)

+2.00

b)

-2.00

c)

+1.25

d)

-1.00

114.

z-scores are the standardized scores for any data that is Normal.

a)

True

b)

Sometimes true, sometimes false

c)

False

115.

Jake took the ACT and Marlena took the SAT. Jake's z-score was 1.2 and Marlena's z-score was 1.4. Who did better on their test?

a)

Jake

b)

Marlena

c)

They did the same.

d)

It depends on the test.

116.

Jake took the ACT and Marlena took the SAT. Jake's z-score was 1.2 and Marlena's z-score was 1.4. Which is true for both Jake and Marlena?

a)

They scored higher than the mean.

b)

They scored lower than the mean.

c)

They did the same.

d)

It depends on the test.

117.

Why do we use z-scores?

a)

To compare data values that have different numerical scales.

b)

To compare similar data values.

c)

To compare different data values on the same numerical scale.

118.

Find the percent under the standard normal curve that lies to the right of z=-0.67.


Hint: find the value in the z-score table and convert to %

a)

63.42%

b)

74.86%

c)

25.14%

d)

50%

119.

IQ tests have a mean of 100 and SD of 16. Einstein's IQ was 160. What is the z-score of his IQ?

a)

1.75

b)

3.75

c)

0.75

d)

2.75

120.

Which of the following shows a z-score, corresponding to one standard deviation below the mean?

a)

1

b)

0

c)

-1

d)

-1.5

121.

Which of the following best describes a type II error?

a)

The null is true, but we mistakenly reject it.

b)

The null is false and we reject it.

c)

The null is false, but we fail to reject it.

d)

The null is true but we fail to reject it.

e)

Te null is false, and we reject it.

122.

If your p-value is less than 0.05, what do you do to your null hypothesis?

a)

You fail to reject the null hypothesis

b)
You reject the null hypothesis
c)

The null hypothesis is factually correct

d)

My null hypothesis is wrong

123.

If I get a p-value score of 0.02, what does this mean? What should I do to my null hypothesis?

a)

There is a 2% probability that my results happened by chance. I reject my null hypothesis and can say that my results are statistically significant.

b)

There is a 20% probability that the difference in my results happened by chance. I fail to reject my null hypothesis and can say that my results are statistically significant.

c)

There is a 2% probability that the difference in my results happened by chance. I reject my null hypothesis and can say that my results are statistically significant.

d)

There is a 2% probability that the difference in my results happened by chance. I fail to reject my null hypothesis and can say that my results are not statistically significant.

124.
Is a histogram the same thing as a bar graph
a)
Yes
b)
No
125.
How many people (frequency) got a score of 7?
a)
200
b)
150
c)
100
d)
50
126.
Which interval shows the greatest number of pets?
a)
15-19
b)
0-4
c)
5-9
d)
10-14
127.

The histograms represent the distributions of student-to-teacher ratios at many randomly selected private and public colleges in the United States. Select the most accurate comparison.

a)

There is a larger proportion of private schools in the study with a low student-to-teacher ratio than there is for public schools.

b)

There is a larger proportion of public schools in the study with a low student-to-teacher ratio than there is for private schools.

c)

The proportion of schools with low student-to-teacher ratios is roughly the same in both distributions.

128.

The histograms represent the distributions of student-to-teacher ratios at many randomly selected private and public colleges in the United States. Select the most accurate comparison.

a)

There is more variability in student-to-teacher ratios at private schools in this study than there is at public schools in this study.

b)

There is more variability in student-to-teacher ratios at public schools in this study than there is at private schools in this study.

c)

Variability in student-to-teacher ratios is the same or similar at private and public schools in this study.

129.

The shape of the distribution shown is best

classified as

a)

The distribution is skewed right because the left tail is longer than the right tail

b)

The distribution is skewed left because the right tail is longer than the left tail.

c)

The distribution is skewed left because the left tail is longer than the right tail.

d)

The distribution is skewed right because the right tail is longer than the left tail

e)

The distribution is because

.

symmetric the left and right sides are approximately

mirror images

130.

Observe the frequency distribution:

Estimate the relative frequency of the fourth class.

a)

69

b)

5.3

c)

0.189 or 18.9%

d)

0.54 or 54%