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MATH168 Chapter 1-2 Exam Practice

Total questions: 41

Worksheet time: 2hrs 3mins

Name
Class
Date
1.

A high school senior is collecting data on the colleges in which she is interested. Identify the variables as either categorical or quantitative.

Type of college: Private or Public college

a)

categorical

b)

quantitative

c)

neither

d)

both

2.

A high school senior is collecting data on the colleges in which she is interested. Identify the variables as either categorical or quantitative.

Tuition: in thousands of dollars

a)

categorical

b)

quantitative

c)

neither

d)

both

3.

A high school senior is collecting data on the colleges in which she is interested. Identify the variables as either categorical or quantitative.

Zip Code: the zip code of the part of the country in which the college is located

a)

categorical

b)

quantitative

c)

neither

d)

both

4.

A high school senior is collecting data on the colleges in which she is interested, including the following variables: Type of college, Tuition, State, Enrollment, Student-Faculty Ratio, Graduation Rate

What are the cases in the high school senior's dataset?

a)

Colleges

b)

Tuitions

c)

Graduation Rate

d)

State

5.

The ________ variable is used to understand or predict values of the ________ variable.

​ (a)   ​ (b)  

Choose from the below words
Explanatory
Response
categorical
quantitative
r-value
6.

Match the following

a)

Mu

1.

Population mean

b)

x-bar

2.

Sample mean

c)

p-hat

3.

sample proportion

d)

p

4.

Population proportion

e)

r

5.

correlation coefficient

7.

A ​ (a)   includes ​ (b)   individuals or objects of interest.

Choose from the below words
population
sample
all
most
8.

State whether the data are best described as a population or a sample

The makers of M&M's state that when they package their candies they thoroughly mix the colored candies together and randomly put them into packages. A student purchases a bag of Milk Chocolate M&M's from the vending machine.

a)

population

b)

sample

9.

State whether the data are best described as a population or a sample

A football fan recorded the number of rushing yards for all NFL running backs who played last season.

a)

population

b)

sample

10.

Organize these options into the right categories

Categorize the following

100 fish taken from a lake

3 states in south

types of cars owned by my students

ALL at LCCC professors

26 letters of the alphabet

asking question about exercise in front of gym

email survey

non random assignment of explanatory variable

phat =0.27

mean value of 12 pounds

difference in mean ages for sample of stats students

Sample
Population
Biased
Best point estimates
11.

A group of researchers investigated the effect of media usage (whether or not subjects watch television or use the Internet) in the bedroom on "Tiredness" during the day (measured on a 50 point scale).

Identify the variables described and whether they are categorical or quantitative.

a)

Media usage in the bedroom = Categorical; "Tiredness" = Categorical

b)

Media usage in the bedroom = Categorical; "Tiredness" = Quantitative

c)

Media usage in the bedroom = Quantitative; "Tiredness" = Categorical

d)

Media usage in the bedroom = Quantitative; "Tiredness" = Quantitative

12.

A group of researchers investigated the effect of media usage (whether or not subjects watch television or use the Internet) in the bedroom on "Tiredness" during the day (measured on a 50 point scale).

Suppose that the researchers found that the individuals who use media in the bedroom tended to be more tired during the day than those who do not. Would it be appropriate for the researchers to conclude that using media in the bedroom causes tiredness during the day?

a)

YES

b)

NO

13.

A group of students were asked to count the number of scars on both of their hands. The number of scars on their dominant hand was compared to the number of scars on their "off" hand. Is this an observational study or a randomized experiment?

a)

Observational

b)

Random Experiment

14.

A university's Admissions staff sends one of four different representatives to work at college fairs. A study was conducted to evaluate the relative effectiveness of the four representatives. For each college fair over the course of the year, the number of inquiries from students, the type of fair (large or small), the representative who worked at that fair, and the percent of inquiries that resulted in applications were recorded. It was found that one of the representatives was far more effective at getting lots of inquiries.

What are the cases in this study?

a)

The number of inquiries from students

b)

The percent of inquiries that resulted in applications

c)

students

d)

college fair inquiries

15.

A university's Admissions staff sends one of four different representatives to work at college fairs. A study was conducted to evaluate the relative effectiveness of the four representatives. For each college fair over the course of the year, the number of inquiries from students, the type of fair (large or small), the representative gender who worked at that fair, and the percent of inquiries that resulted in applications were recorded. It was found that one of the representatives was far more effective at getting lots of inquiries.

a)

The number of inquiries from students

1.

quantitative

b)

Type of fair

2.

categorical

c)

representative's gender

3.

categorical

d)

percent of inquiries

4.

quantitative

16.

A university's Admissions staff sends one of four different representatives to work at college fairs. A study was conducted to evaluate the relative effectiveness of the four representatives. For each college fair over the course of the year, the number of inquiries from students, the type of fair (large or small), the representative who worked at that fair, and the percent of inquiries that resulted in applications were recorded. It was found that one of the representatives was far more effective at getting lots of inquiries.

This is an​ (a)   study

Choose from the below words
observational
experimental
17.

What proportion of respondents have a college degree? Round your answer to three decimal places.

answers in form of 0.000

(a)  

18.

What proportion of respondents have no opinion on the theory of evolution? Round your answer to two decimal places.

answers in form of 0.000

(a)  

19.

What proportion of non-believers have a high school education or less? Use four decimal places in your answer.

answers in form of 0.000

(a)  

20.

What proportion of college graduates believe in the theory of evolution? Use four decimal places in your answer.

answers in form of 0.000

(a)  

21.

Compute the difference in the proportion of men who would prefer a job outside of the home and the proportion of females who would prefer a job outside of the home. Use two decimal places in your answer.

(a)  

22.

If a distribution is roughly symmetric, which relationship between the mean and median is likely true?

a)

MEAN<MEDIAN

b)

MEAN ≈\approx MEDIAN

c)

MEAN>MEDIAN

23.

If a distribution is heavily skewed to the right, which relationship between the mean and median is likely true?

a)

MEAN<MEDIAN

b)

MEAN ≈\approx MEDIAN

c)

MEAN>MEDIAN

24.

Use the dataset to calculate the following summary statistics in the questions below. Report each with one decimal place.

1 , 17, 12, 20, 27, 23, 8, 5

The mean is​ ​ (a)  

The median is ​ (b)  

The skew is ​ ​ (c)  

Choose from the below words
14.1
14.5
13.8
14.01
left
right
centered
25.

Which of the following best describes the distribution of times for the top 100 male finishers in the marathon?

a)

Skewed Right

b)

Skewed Left

c)

Roughly symmetrical

26.

The mean time for the top 100 males is closest to which value?

a)

135 minutes

b)

151 minutes

c)

148 minutes

d)

140 minutes

27.

The median time for the top 100 males is closest to which value?

a)

156 minutes

b)

140 minutes

c)

145 minutes

d)

151 minutes

28.

The distribution of waiting times at the student health center is bell-shaped with a mean of 10 minutes and a standard deviation of 3. Find the z-score of someone who waits 5 minutes. Round your z-score to two decimal places. Be sure to specifically indicate if a wait time of 5 minutes is unusual.

a)

1.67; The wait time is unusual.

b)

-1.67; The wait time is not unusual.

c)

-1.67; The wait time is unusual.

d)

1.67; The wait time is not unusual.

29.

Give the sample mean pulse rate. Use two decimal places in your answer.

30.

Find the standard deviation of the pulse rates. Use two decimal places in your answer.

31.

Find the five number summary and enter the IQR value

32.

Are any of the entries outliers using the IQR rule?

a)

No

b)

yes, 110 only

c)

yes, 110 and 75

d)

More than two data values are outliers

33.

Identify which graphical display might be appropriate in each case. Select ALL that apply.

Compare the number of points scored for all games played in a season for all football teams in the Big 10 conference.

a)

Side by side boxplots

b)

Bar Chart

c)

Dotplot

d)

Side by side bar chart

e)

Scatter Plot

34.

Identify which graphical display might be appropriate in each case. Select ALL that apply.

Investigate the relationship between pulse rate (in beats per minute) and systolic blood pressure (the top number in a blood pressure reading, measured in  of mercury) for patients at the student health center.

a)

Side by side boxplots

b)

Bar Chart

c)

Dotplot

d)

Side by side bar chart

e)

Scatter Plot

35.

Find the correlation(r) between the number of students accepted and enrolled. Use two decimal places in your answer.

36.

Find the least squares regression line for predicting the number enrolled from the number accepted.

a)

enrolled=89 + 0.208(accepted)

b)

enrolled = 85 +0.208(accepted)

c)

enrolled = 89 +0.204(accepted)

d)

enrolled = 85 +0.206(accepted)

37.

Interpret the slope in of the least squares regression line in context.

4 lines
38.

Interpret the intercept of the least squares regression line in context. Does the interpretation make sense?

4 lines
39.

Suppose Admissions has announced that 2,575 students have been accepted this year. Use your regression equation to predict the number of students that will enroll.

4 lines
40.

Use your prediction equation to calculate the residual value if 2660 are accepted

41.

Use your prediction equation to calculate the residual value if 2660 are accepted....what does this mean in context?

a)

data point is below trend line

b)

data point is above trend line

c)

prediction equals data value

d)

it means nothing its just a number