Ch5 Approximating With A Distribution Verified Test Bank - Download Test Bank | Unlocking Statistics 3e by Robin H. Lock. DOCX document preview.

Ch5 Approximating With A Distribution Verified Test Bank

Statistics - Unlocking the Power of Data, 3e (Lock)

Chapter 5 Approximating with a Distribution

5.1 Hypothesis Tests Using Normal Distributions

Use the following to answer the questions below:

Select the answer closest to the specified areas for a N(0, 1) density. Round to three decimal places.

1) The area to the left of z = 0.63.

A) 0.736

B) 0.264

C) 0.525

D) 0.041

Diff: 1 Type: BI Var: 1

L.O.: 5.1.3

2) The area to the right of z = -0.47.

A) 0.341

B) 0.770

C) 0.681

D) 0.319

Diff: 1 Type: BI Var: 1

L.O.: 5.1.3

3) The area between z = 0.51 and z = 2.79.

A) 0.695

B) 0.302

C) 0.692

D) 0.997

Diff: 2 Type: BI Var: 1

L.O.: 5.1.3

4) The area outside of the interval z = -2.13 and z = 1.11.

A) 0.133

B) 0.017

C) 0.850

D) 0.150

Diff: 3 Type: BI Var: 1

L.O.: 5.1.3

Use the following to answer the questions below:

Find the endpoint(s) on a N(0, 1) density with the given property. Round to three decimal places.

5) The area to the left of the endpoint is about 0.20.

A) -2.054

B) 0.842

C) -0.842

D) 2.054

Diff: 2 Type: BI Var: 1

L.O.: 5.1.4

6) The area to the right of the endpoint is about 0.85.

A) -1.036

B) 1.036

C) -0.842

D) 1.375

Diff: 2 Type: BI Var: 1

L.O.: 5.1.4

7) The area between ±z is about 0.88.

A) 1.175

B) 1.645

C) 1.275

D) 1.555

Diff: 2 Type: BI Var: 1

L.O.: 5.1.4

Use the following to answer the questions below:

Select the answer closest to the specified areas for a normal density. Round to three decimal places.

8) The area to the left of 32 on a N(45, 8) distribution.

A) 0.948

B) 0.052

C) 0.896

D) 0.104

Diff: 1 Type: BI Var: 1

L.O.: 5.1.3

9) The area to the right of 12 on a N(60, 4) distribution.

A) 0.691

B) 0.383

C) 0.617

D) 0.309

Diff: 2 Type: BI Var: 1

L.O.: 5.1.3

10) The area between 43 and 100 on a N(14, 3) distribution.

A) 0.985

B) 0.122

C) 0.863

D) 0.878

Diff: 2 Type: BI Var: 1

L.O.: 5.1.3

Use the following to answer the questions below:

Find the endpoint(s) on the normal density curve with the given property. Round to three decimal places.

11) The area to the left of the endpoint on a N(54, 2.5) curve is about 0.15.

A) 51.409

B) 56.591

C) 59.425

D) 48.575

Diff: 2 Type: BI Var: 1

L.O.: 5.1.4

12) The area to the right of the endpoint on a N(26, 4) curve is about 0.4.

A) 18.997

B) 24.987

C) 33.003

D) 27.013

Diff: 2 Type: BI Var: 1

L.O.: 5.1.4

13) The symmetric middle area on a N(12, 4) curve is about 0.75.

A) 4.160 and 19.840

B) 7.399 and 16.601

C) 9.302 and 14.698

D) 6.874 and 17.126

Diff: 2 Type: BI Var: 1

L.O.: 5.1.4

Use the following to answer the questions below:

It is generally believed that the heights of adults males in the U.S. are approximately normally distributed with mean 70 inches (5 feet, 10 inches) and standard deviation 3 inches and that the heights of adult females in the U.S. are also approximately normally distributed with mean 64 inches (5 feet, 4 inches) and standard deviation 2.5 inches. A small university is considering custom ordering beds for their dorm rooms. Answer the following questions about the lengths of beds in dorm rooms at this university.

14) Draw a sketch of the distribution of women's heights and label at least three points on the horizontal axis.

If variable = men, the sketch should look roughly like:

If variable = women, the sketch should look roughly like:

Diff: 2 Type: ES Var: 1

L.O.: 5.1.2

15) The beds that the university currently purchases are 75 inches long. What proportion of males will be able to fit on the bed while lying perfectly straight? Round your answer to three decimal places.

Diff: 2 Type: SA Var: 1

L.O.: 5.1.4

16) Should the university be concerned that females will not fit in the 75 inch beds?

A) Yes

B) No

Diff: 2 Type: MC Var: 1

L.O.: 5.1.3

17) The university plans on ordering custom sized beds such that 99% of male students are expected to fit in them when lying perfectly straight. What length beds should they order? Round your answer to the nearest inch.

A) 77 inches

B) 78 inches

C) 76 inches

D) 75 inches

Diff: 2 Type: BI Var: 1

L.O.: 5.1.4

18) The university decides it is too expensive to replace all the beds. Suppose the university has 2,150 beds all of which are 75 inches long. How many beds should they replace? You may assume that only those males taller than 75 inches will receive the longer beds and that females make up half of the population that will need a dorm room bed.

A) 52 beds

B) 44 beds

C) 32 beds

D) 28 beds

Diff: 3 Type: BI Var: 1

L.O.: 5.1.3

Use the following to answer the questions below:

In the following, convert an area from one normal distribution to an equivalent area for a different normal distribution. Show details of your calculation. Draw sketches of both normal distributions, find and label the endpoints, and shade the regions on both curves.

19) The area to the left of 16 for a N(20, 3) distribution converted to a standard normal distribution

Diff: 2 Type: ES Var: 1

L.O.: 5.1.5

20) The "Q1" for a standard normal distribution converted to a N(15, 2.5) distribution.

Diff: 2 Type: ES Var: 1

L.O.: 5.1.5

21) The area to the right of 50 in a N(40, 8) distribution converted to a standard normal distribution.

Diff: 2 Type: ES Var: 1

L.O.: 5.1.5

22) The middle 90% for a standard normal distribution converted to a N(45, 15) distribution.

x = 1.645 * 15 + 45 = 69.675

Diff: 2 Type: ES Var: 1

L.O.: 5.1.5

Use the following to answer the questions below:

Heights of 10-year-old girls (5th graders) follow an approximately normal distribution with mean inches and standard deviation of inches.

23) Draw a sketch of this normal distribution and label at least three points on the horizontal axis.

Diff: 2 Type: ES Var: 1

L.O.: 5.1.2

24) What proportion of 10-year-old girls are shorter than 48 inches (4 feet)? Report your answer with four decimal places.

Diff: 2 Type: SA Var: 1

L.O.: 5.1.3

25) What proportion of 10-year-old girls are taller than 60 inches (5 feet)? Report your answer with three decimal places.

Diff: 2 Type: SA Var: 1

L.O.: 5.1.3

26) What proportion of 10-year-old girls have heights between 50 and 55 inches? Report your answer with three decimal places.

Diff: 2 Type: SA Var: 1

L.O.: 5.1.3

27) A parent says her 10-year-old daughter is in the 95th percentile in height. How tall is the girl? Report your answer with one decimal place.

A) 58.8 inches

B) 59.8 inches

C) 57.1 inches

D) 60.5 inches

Diff: 2 Type: BI Var: 1

L.O.: 5.1.4

28) The tallest 15% of 10-year-old girls are taller than what height? Report your answer with one decimal place.

A) 57.2 inches

B) 57.8 inches

C) 58.8.8 inches

D) 59.8 inches

Diff: 2 Type: BI Var: 1

L.O.: 5.1.4

29) What is the first quartile of heights of 10-year-old girls? Report your answer with one decimal place.

A) 52.6 inches

B) 51.7 inches

C) 54.4 inches

D) 53.2 inches

Diff: 2 Type: BI Var: 1

L.O.: 5.1.4

30) What is the IQR of heights of 10-year-old girls? Note that you will need to find two endpoints of the distribution for your calculation. Report you answer with one decimal place.

A) 3.6 inches

B) 3.1 inches

C) 4.2 inches

D) 4.7 inches

Diff: 3 Type: BI Var: 1

L.O.: 5.1.4

Use the following to answer the questions below:

Use the provided density function to choose the best estimate for the proportion of the population found in the specified region.

31) The percent of the population that is less than 20 is closest to

A) 5%

B) 25%

C) 75%

D) 95%

Diff: 2 Type: BI Var: 1

L.O.: 5.1.1

32) The percent of the population that is less than 40 is closest to

A) 15%

B) 35%

C) 75%

D) 95%

Diff: 2 Type: BI Var: 1

L.O.: 5.1.1

33) The percent of the population that is more than 100 is closest to

A) 75%

B) 20%

C) 10%

D) 2%

Diff: 2 Type: BI Var: 1

L.O.: 5.1.1

34) The percent of the population that is more than 50 is closest to

A) 25%

B) 75%

C) 50%

D) 90%

Diff: 2 Type: BI Var: 1

L.O.: 5.1.1

35) The percent of the population between 20 and 80 is closest to

A) 85%

B) 99%

C) 70%

D) 50%

Diff: 2 Type: BI Var: 1

L.O.: 5.1.1

Use the following to answer the questions below:

A student suspects that the length of songs currently on her Spotify playlist are approximately normally distributed with a mean of 257 seconds and standard deviation 62 seconds.

36) Draw a sketch of this normal distribution and label at least three points on the horizontal axis.

Diff: 2 Type: ES Var: 1

L.O.: 5.1.1

37) What proportion of songs are less than 180 seconds (3 minutes)? Report your answer with three decimal places.

Diff: 2 Type: SA Var: 1

L.O.: 5.1.3

38) What proportion of songs are longer than 300 seconds (5 minutes)? Report your answer with three decimal places.

Diff: 2 Type: SA Var: 1

L.O.: 5.1.3

39) What proportion of songs are between 240 and 360 seconds (4 minutes and 6 minutes)? Report your answer with three decimal places.

Diff: 2 Type: SA Var: 1

L.O.: 5.1.3

40) The shortest 10% of songs are shorter than what length? Report your answer with one decimal place.

A) 177.5 seconds

B) 179.4 seconds

C) 181.5 seconds

D) 185.9 seconds

Diff: 2 Type: BI Var: 1

L.O.: 5.1.4

41) The longest 25% of songs are longer than what length? Report your answer with one decimal place.

A) 298.8 seconds

B) 271.5 seconds

C) 282.9 seconds

D) 291.2 seconds

Diff: 2 Type: BI Var: 1

L.O.: 5.1.4

42) The symmetric middle 90% of songs have lengths between what two values? Round all values to one decimal place.

A) 155.0 seconds and 359.0 seconds

B) 151.0 seconds and 363.0 seconds

C) 149.0 seconds and 365.0 seconds

D) 153.0 seconds and 361.0 seconds

Diff: 2 Type: BI Var: 1

L.O.: 5.1.4

Use the following to answer the questions below:

Robins are common birds in North America. Suppose that the wingspan of robins is approximately normal with mean 14 inches and standard deviation 0.7 inches.

43) Draw a sketch of this normal distribution and label at least three points on the horizontal axis.

Diff: 2 Type: ES Var: 1

L.O.: 5.1.2

44) What proportion of robins have wingspans less than 13 inches? Report your answer with three decimal places.

Diff: 2 Type: SA Var: 1

L.O.: 5.1.3

45) What proportion of robins have wingspans longer 15.5 inches? Report your answer with three decimal places.

Diff: 2 Type: SA Var: 1

L.O.: 5.1.3

46) What proportion of robins have wingspans between 12.5 and 13.5 inches? Report your answer with three decimal places.

Diff: 2 Type: SA Var: 1

L.O.: 5.1.3

47) What is the 30th percentile of robin wingspans? Report your answer with two decimal places.

A) 13.63 inches

B) 13.21 inches

C) 12.74 inches

D) 12.36 inches

Diff: 2 Type: BI Var: 1

L.O.: 5.1.4

48) The largest 20% of robins have wingspans longer than what value? Report your answer with two decimal places.

A) 14.59 inches

B) 14.87 inches

C) 14.32 inches

D) 13.79 inches

Diff: 2 Type: BI Var: 1

L.O.: 5.1.4

Use the following to answer the questions below:

Final grades in Professor Albert's large calculus class are approximately normally distributed with a mean of 76 (%) and standard deviation of 8 (%).

49) Draw a sketch of this normal distribution and label at least three points on the horizontal axis.

Diff: 2 Type: ES Var: 1

L.O.: 5.1.2

50) In Professor Albert's course, students who earn less than a 60% in the class are assigned a failing grade (F). What proportion of the students earned F's? Report your answer with three decimal places.

Diff: 2 Type: SA Var: 1

L.O.: 5.1.3

51) In Professor Albert's course, students who earn above a 94% are assigned an "A." What proportion of students earned A's? Report your answer with three decimal places.

Diff: 2 Type: SA Var: 1

L.O.: 5.1.3

52) What proportion of students earn between an 82% and 88% in this class? Report your answer with three decimal places.

Diff: 2 Type: SA Var: 1

L.O.: 5.1.3

53) What is the 25th percentile in this course? Report your answer with one decimal place.

A) 70.6%

B) 70.9%

C) 72.3%

D) 71.4%

Diff: 2 Type: BI Var: 1

L.O.: 5.1.4

54) The top 30% of students earned scores above what value? Report your answer with one decimal place.

A) 80.2%

B) 79.8%

C) 79.3%

D) 78.4%

Diff: 2 Type: BI Var: 1

L.O.: 5.1.4

5.2 Confidence Intervals Using Normal Distributions

Use the following to answer the questions below:

Find the z* values based on a standard normal distribution for each of the following. Round to three decimal places.

1) An 86% confidence interval for a proportion.

A) 1.080

B) 1.476

C) 0.994

D) 1.960

Diff: 2 Type: BI Var: 1

L.O.: 5.2.1

2) An 88% confidence interval for a correlation.

A) 2.575

B) 1.175

C) 2.326

D) 1.555

Diff: 2 Type: BI Var: 1

L.O.: 5.2.1

3) A 78% confidence interval for a mean.

A) 0.772

B) 1.227

C) 1.514

D) 1.126

Diff: 2 Type: BI Var: 1

L.O.: 5.2.1

4) A 66% confidence interval for a slope.

A) 0.954

B) 0.412

C) 0.754

D) 1.016

Diff: 2 Type: BI Var: 1

L.O.: 5.2.1

Use the following to answer the questions below:

A set of hypotheses, some information from one or more samples, and a standard error from a randomization distribution are provided. Find the value of the standardized z-test statistic.

5) Test : p = 0.75 versus : p > 0.75 when the sample has and

A) 0.03

B) 2

C) -2

D) 1.5

Diff: 2 Type: BI Var: 1

L.O.: 5.2.2

6) Test : μ = 26 versus : μ ≠ 26 when the sample has n = 75, s = 5.4, and
SE = 0.6.

A) -1.5

B) 0.278

C) 2.5

D) -0.833

Diff: 2 Type: BI Var: 1

L.O.: 5.2.2

7) Test : = and : ≠ when the samples have and The standard error of from the randomization distribution is 3.2.

A) 1.875

B) 6

C) 0.4

D) 0.5

Diff: 2 Type: BI Var: 1

L.O.: 5.2.2

Use the following to answer the questions below:

Find the p-value based on a standard normal distribution for the standardized test statistic and provided alternative hypothesis.

8) z = -1.86 for : p < 0.5

A) 0.031

B) 0.969

C) 0.062

D) 0.937

Diff: 2 Type: BI Var: 1

L.O.: 5.2.2

9) z = 2.36 for : μ > 86

A) 0.982

B) 0.0182

C) 0.991

D) 0.0091

Diff: 2 Type: BI Var: 1

L.O.: 5.2.2

10) z = 1.75 for : ≠

A) 0.960

B) 0.040

C) 0.080

D) 0.920

Diff: 2 Type: BI Var: 1

L.O.: 5.2.2

Use the following to answer the questions below:

A Gallup survey of 1,012 randomly selected U.S. adults (age 18 and over), 53% said that they were dissatisfied with the quality of education students receive in kindergarten through grade 12. The bootstrap distribution (based on 5,000 samples) is provided.

11) Would it be appropriate to use the normal distribution to construct the confidence interval in this situation?

A) Yes

B) No

Diff: 2 Type: MC Var: 1

L.O.: 5.2.3

12) The standard error from the bootstrap distribution is SE = 0.016. Use the normal distribution to construct and interpret a 99% confidence interval for the proportion of U.S. adults who are dissatisfied with the education students receive in kindergarten through grade 12. Round to three decimal places.

z* = 2.575, so 0.53 ± 2.575*0.016

0.489 to 0.571

We are 99% sure that the proportion of U.S. adults who are dissatisfied with the education that students receive in kindergarten through grade 12 is between 0.489 and 0.571 (48.9% and 57.1%).

Diff: 2 Type: ES Var: 1

L.O.: 5.2.1

13) A Gallup survey of 1,012 randomly selected U.S. adults (age 18 and over), 53% said that they were dissatisfied with the quality of education students receive in kindergarten through grade 12. Use the normal distribution to test if the proportion of U.S. adults who are dissatisfied with the education that students receive in kindergarten through grade 12 differs from 50%. The randomization distribution for this test is approximately normal and the standard error is Include all details of the test and use a 5% significance level.

: p = 0.50

: p ≠ 0.50

z = = 1.875

p-value = 0.06 (two-tail, using Statkey)

There is no evidence that the proportion of U.S. adults who are dissatisfied with the quality of education students receive in kindergarten through grade 12 differs from 50% (or 0.50).

Diff: 2 Type: ES Var: 1

L.O.: 5.2.2

14) A sample of 148 college students reports sleeping an average of 6.85 hours on weeknights. The sample size is large enough to use the normal distribution, and a bootstrap distribution shows that the standard error is Use a normal distribution to construct and interpret a 95% confidence interval for the mean amount of weeknight sleep students get at this university. Use two decimal places in your answer.

A) 6.51 to 7.19 hours

B) 4.89 to 8.81 hours

C) 6.68 to 7.03 hours

D) 4.81 to 8.89 hours

Diff: 2 Type: BI Var: 1

L.O.: 5.2.1

15) Gallup conducted a survey of 1,015 randomly selected U.S. adults about "Black Friday" shopping. They asked the following question:

"As you know, the Friday after Thanksgiving is one of the biggest shopping days of the year.

Looking ahead, do you personally plan on shopping on the Friday after Thanksgiving, or not?"

Of the 515 men who responded, 16% said "Yes." Of the 500 women who responded, 20% said "Yes." The standard error of the differences in proportions is about Use the normal distribution to test, at the 5% level, if the proportions of men and women who planned to shop on the Friday after Thanksgiving are significantly different. The sample size is large enough to use the normal distribution.

= proportion of men who planned to shop the Friday after Thanksgiving

= proportion of women who planned to shop the Friday after Thanksgiving

: =

: ≠

z = = -1.6

p-value = 0.11 (two-tail, using Statkey)

There is no evidence that the proportion of men and women who planned to shop the Friday after Thanksgiving are significantly different.

Diff: 2 Type: ES Var: 1

L.O.: 5.2.2

Use the following to answer the questions below:

The gas prices for a random sample of n = 10 gas stations in the state of Illinois have a mean of $3.975, with a standard deviation of $0.2266.

16) The bootstrap distribution, based on 5,000 samples, is provided. Would it be appropriate to use the normal distribution to construct a confidence interval for the mean gas price in Illinois?

A) Yes

B) No

Diff: 2 Type: MC Var: 1

L.O.: 5.2.3

17) The standard error from the bootstrap distribution is SE = 0.069. Use the normal distribution to construct and interpret a 90% confidence interval for the mean gas price in Illinois. Round all values to two decimal places.

A) $3.86 to $4.09

B) $2.33 to $5.62

C) $3.91 to $4.04

D) $3.75 to $4.21

Diff: 2 Type: BI Var: 1

L.O.: 5.2.1

Use the following to answer the questions below:

There are 24 students enrolled in an introductory statistics class at a small university. As an in-class exercise the students were asked how many hours of television they watch each week. The male students watched an average of 6 hours of television per week with standard deviation 4.24 hours. The female students watched an average of 3.91 hours of television per week with a standard deviation of 3.48 hours. Assume that the students enrolled in the statistics class are representative of all students at the university.

18) The randomization distribution for - (where and are the sample mean amount of television watched by male and female students, respectively) is provided. Would it be appropriate to use the normal distribution to perform a test comparing the mean amount of television watched per week by male and female students at this university?

A) Yes

B) No

Diff: 2 Type: MC Var: 1

L.O.: 5.2.3

19) The standard error of the differences and is about SE = 1.667. Use the normal distribution to test, at the 5% level, if male students at this university watch, on average, more television than female students. Include all details of the test.

= mean amount of television watched in a week by male students at the university

= mean amount of television watched in a week by female students at the university

: =

: >

z = = 1.25

p-value = 0.106 (right tail, using Statkey)

There is no evidence that males at this university watch significantly more television, on average, than female students.

Diff: 2 Type: ES Var: 1

L.O.: 5.2.2

20) A biologist interested in estimating the correlation between the body mass (in grams) and body length (in cm) of porcupines has a random sample of 18 porcupines with The bootstrap distribution she constructed is approximately normal and the standard error is estimated to be 0.165. Use the normal distribution to construct and interpret a 98% confidence interval for the correlation between body mass and body length in porcupines. Round all values to three decimal places.

A) 0.023 to 0.791

B) 0.019 to 0.795

C) 0.010 to 0.840

D) 0.028 to 0.800

Diff: 2 Type: BI Var: 1

L.O.: 5.2.1

© 2021 John Wiley & Sons, Inc. All rights reserved. Instructors who are authorized users of this course are permitted to download these materials and use them in connection with the course. Except as permitted herein or by law, no part of these materials should be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise.

Document Information

Document Type:
DOCX
Chapter Number:
5
Created Date:
Aug 21, 2025
Chapter Name:
Chapter 5 Approximating With A Distribution
Author:
Robin H. Lock

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