The Central Limit Theorem says that Group of answer choices the distribution of a sum or proportion of randomly selected observations is always normal the distribution of a sum or proportion of randomly selected observations is only normal if the randomly selected observations are from a normal distribution the distribution of a sum or proportion of randomly selected observations eventually gets close to a normal distribution as long as we have a large sample size

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question
1. The Central Limit Theorem says that
Group of answer choices
the distribution of a sum or proportion of randomly selected observations is always normal
the distribution of a sum or proportion of randomly selected observations is only normal if the randomly selected observations are from a normal distribution
the distribution of a sum or proportion of randomly selected observations eventually gets close to a normal distribution as long as we have a large sample size
 

2. (Repeated from previous question) A new census bureau reporting method for quantifying the number of "poor" Americans reports 49.1 million people as poor (article linked if you care to read). This is roughly 16% of all Americans.

Suppose a polling company, using the same method for categorizing "poor", wants to take a sample of 1,000 Americans. In the long run (if they were to take many, many samples of size 1,000), we can expect the the distribution of sample proportions (proportion of each sample who are "poor") to have what average value (mean)?

Group of answer choices
49.1 million
1,000
0.16 (or 16%)
sqrt(0.16*(1-0.16)/1000)
 

3. (Repeated from previous question) A new census bureau repoting method for quantifying the number of "poor" Americans reports 49.1 million people as poor (article linked if you care to read). This is roughly 16% of all Americans.

Suppose a polling company, using the same method for categorizing "poor", wants to take a sample of 1,000 Americans. In the long run (if they were to take many, many samples of size 1,000), we can expect the the distribution of sample proportions (proportion of each sample who are "poor") to have what standard deviation?

Group of answer choices
49.1 million
1,000
0.16 (or 16%)
sqrt(0.16*(1-0.16)/1000)
 
4.
It is OK to interpret a 95% confidence interval starting with "With 95% probability" rather than "With 95% confidence".
Group of answer choices
True
False
 
5.
Characteristics of a hypothesis test: If a hypothesis test yields a P-value of 0.005,
Group of answer choices
the margin of error is 0.005
the null hypothesis is very likely to be true
the alternative hypothesis is very likely to be true
the alternative hypothesis is not very likely to be true
 
6. In 2006, 75.9% of first-year college students responding to a national survey said that they used the internet frequently for research or homework. You wonder if the proportion of first-year students at this university who said that they used the Internet frequently for research or homework differs from the national value, 75.9 percent.
A random sample form a state university finds that 130 of an SRS of 200 of its first-year students said that they used the Internet frequently for research or homework.
Identify the null hypothesis (HO).
Group of answer choices
p = 0.759
p < 0.759
p > 0.759
p ≠ 0.759
 
7. Please refer to the previous problem.
Identify the alternative hypothesis (HA).
Group of answer choices
p = 0.759
p < 0.759
p > 0.759
p ≠ 0.759
 
8. The financial aid office of a university asks a sample of graduates about their employment and earnings. They wanted to see if men make more, on average.
The report says, “For academic year earnings, we found on average, men make significantly more money than females (P = 0.028).”
Identify the null hypothesis
Group of answer choices
there is no difference in earnings between males and females (difference = 0)
males earn more than females (males – females > 0)
males earn less than females (males – females < 0)
males earn a different amount than females (males – females ≠ 0)
 
9. Please refer to the previous problem.
Identify the alternative hypothesis.
Group of answer choices
there is no difference in earnings between males and females (difference = 0)
males earn more than females (males – females > 0)
males earn less than females (males – females < 0)
males earn a different amount than females (males – females ≠ 0)
 
 

10. Interpret the P-value for the male and female earnings report.
Group of answer choices
There is a 2.8% chance of seeing earnings this much larger for males if there really was no difference.
There is a 2.8% chance of seeing earnings this much smaller for males if there really was no difference.
There is a 2.8% chance of seeing earnings this much higher for males if there really was a difference.
 
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps

Blurred answer
Knowledge Booster
Point Estimation, Limit Theorems, Approximations, and Bounds
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.
Similar questions
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
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 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…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
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
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman