From a very large (essentially infinite) population, of which half are men and half are women, you take a random sample, with replacement. Use the provided random number table and assume each single digit represents selection of one person; the odd numbers represent women and the even numbers (0, 2, 4, 6, 8) represent men. Complete parts (a) through (c) below. E Click the icon for a table of random numbers. a. Start on the left side of the top line (with 598) and count 10 people. What percentage of the sample will be men? O% (Type an integer or a decimal. Do not round.) b. Start in the middle of the second line (with 453) and count 20 people. What percentage of the sample will be men? O% (Type an integer or a decimal. Do not round.) c. If parts (a) and (b) were repeated many times, which sample would typically come closer to 50% - the sample of 10 or the sample of 20? Why? OA. Both samples will have about the same precision, because the precision of p depends only on the population size. The larger the population, the more precise the estimate. OB. The sample of 10 would be more likely to have a proportion close to 50%, because the precision of p depends only on the size of the sample. The estimate is more precise if the sample is smaller. OC. The sample of 20 would be more likely to have a proportion close to 50%, because the precision of p depends only on the size of the sample. The estimate is more precise if the sample is larger. OD. The sample of 10 would be more likely to have a proportion close to 50%, because the sample of 20 is too large relative to the population to be reliable. O Random Number Table 59888 13525 83577 43901 07948 32452 01477 45311 15107 99770 58768 88407 Print Done
From a very large (essentially infinite) population, of which half are men and half are women, you take a random sample, with replacement. Use the provided random number table and assume each single digit represents selection of one person; the odd numbers represent women and the even numbers (0, 2, 4, 6, 8) represent men. Complete parts (a) through (c) below. E Click the icon for a table of random numbers. a. Start on the left side of the top line (with 598) and count 10 people. What percentage of the sample will be men? O% (Type an integer or a decimal. Do not round.) b. Start in the middle of the second line (with 453) and count 20 people. What percentage of the sample will be men? O% (Type an integer or a decimal. Do not round.) c. If parts (a) and (b) were repeated many times, which sample would typically come closer to 50% - the sample of 10 or the sample of 20? Why? OA. Both samples will have about the same precision, because the precision of p depends only on the population size. The larger the population, the more precise the estimate. OB. The sample of 10 would be more likely to have a proportion close to 50%, because the precision of p depends only on the size of the sample. The estimate is more precise if the sample is smaller. OC. The sample of 20 would be more likely to have a proportion close to 50%, because the precision of p depends only on the size of the sample. The estimate is more precise if the sample is larger. OD. The sample of 10 would be more likely to have a proportion close to 50%, because the sample of 20 is too large relative to the population to be reliable. O Random Number Table 59888 13525 83577 43901 07948 32452 01477 45311 15107 99770 58768 88407 Print Done
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Topic Video
Question
100%
help please.
![From a very large (essentially infinite) population, of which half are men and half are women, you take a random sample, with replacement. Use the provided random number table and assume each single digit represents selection of one person; the odd numbers represent women and the even numbers (0, 2, 4, 6, 8) represent men. Complete parts (a) through (c) below.
- Click the icon for a table of random numbers.
a. Start on the left side of the top line (with 598) and count 10 people. What percentage of the sample will be men?
\[
\% \text{ (Type an integer or a decimal. Do not round.)}
\]
b. Start in the middle of the second line (with 453) and count 20 people. What percentage of the sample will be men?
\[
\% \text{ (Type an integer or a decimal. Do not round.)}
\]
c. If parts (a) and (b) were repeated many times, which sample would typically come closer to 50% – the sample of 10 or the sample of 20? Why?
- A. Both samples will have about the same precision, because the precision of \( \hat{p} \) depends only on the population size. The larger the population, the more precise the estimate.
- B. The sample of 10 would be more likely to have a proportion close to 50%, because the precision of \( \hat{p} \) depends only on the size of the sample. The estimate is more precise if the sample is smaller.
- C. The sample of 20 would be more likely to have a proportion close to 50%, because the precision of \( \hat{p} \) depends only on the size of the sample. The estimate is more precise if the sample is larger.
- D. The sample of 10 would be more likely to have a proportion close to 50%, because the sample of 20 is too large relative to the population to be reliable.
Random Number Table:
- 59888 13525 83577 43901
- 07948 01477 43511 15107
- 32452 99770 58768 88407
- [Print] [Done]](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc2f49e8b-eabf-4587-a1db-d4952a79435d%2Fadae0a41-91bb-461e-a333-908037312f15%2Fmqsdvkp_processed.png&w=3840&q=75)
Transcribed Image Text:From a very large (essentially infinite) population, of which half are men and half are women, you take a random sample, with replacement. Use the provided random number table and assume each single digit represents selection of one person; the odd numbers represent women and the even numbers (0, 2, 4, 6, 8) represent men. Complete parts (a) through (c) below.
- Click the icon for a table of random numbers.
a. Start on the left side of the top line (with 598) and count 10 people. What percentage of the sample will be men?
\[
\% \text{ (Type an integer or a decimal. Do not round.)}
\]
b. Start in the middle of the second line (with 453) and count 20 people. What percentage of the sample will be men?
\[
\% \text{ (Type an integer or a decimal. Do not round.)}
\]
c. If parts (a) and (b) were repeated many times, which sample would typically come closer to 50% – the sample of 10 or the sample of 20? Why?
- A. Both samples will have about the same precision, because the precision of \( \hat{p} \) depends only on the population size. The larger the population, the more precise the estimate.
- B. The sample of 10 would be more likely to have a proportion close to 50%, because the precision of \( \hat{p} \) depends only on the size of the sample. The estimate is more precise if the sample is smaller.
- C. The sample of 20 would be more likely to have a proportion close to 50%, because the precision of \( \hat{p} \) depends only on the size of the sample. The estimate is more precise if the sample is larger.
- D. The sample of 10 would be more likely to have a proportion close to 50%, because the sample of 20 is too large relative to the population to be reliable.
Random Number Table:
- 59888 13525 83577 43901
- 07948 01477 43511 15107
- 32452 99770 58768 88407
- [Print] [Done]
Expert Solution

This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 3 steps

Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Recommended textbooks for you

MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc

Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning

MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc

Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning

Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON

The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman

Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman