According to a dental association, 68% of all dentists use nitrous oxide (laughing gas) in their practice. In a random sample of 500 dentists, let p represent the proportion who use laughing gas in practice. Complete parts a through d below. a. Find E(p). E (6) (Round to two decimal places as needed.) = b. Find on. p (Round to four decimal places as needed.) c. What does the Central Limit Theorem say about the shape of the sampling distribution of p? O A. The Central Limit Theorem says that as the sample size grows large, the sampling distribution of p will become approximately normal. OB. The Central Limit Theorem says that the shape of the sampling distribution of p is completely determined by the population parameter p. С. The Central Limit Theorem does not say anything about the sampling distribution of p because it is not a population mean. O D. The Central Limit Theorem says that as the sample size grows large, the sampling distribution of p will approach the population distribution. d. Find P (p>0.52). P(p>0.52) = (Round to three decimal places as needed.)

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
Topic Video
Question
According to a dental association, 68% of all dentists use nitrous oxide (laughing gas) in their practice. In a random sample of 500 dentists, let p represent the proportion who use laughing gas in practice. Complete parts a through d below.
a. Find E(p).
E (6)
(Round to two decimal places as needed.)
=
b. Find on.
p
(Round to four decimal places as needed.)
c. What does the Central Limit Theorem say about the shape of the sampling distribution of p?
O A.
The Central Limit Theorem says that as the sample size grows large, the sampling distribution of p will become approximately normal.
OB.
The Central Limit Theorem says that the shape of the sampling distribution of p is completely determined by the population parameter p.
С.
The Central Limit Theorem does not say anything about the sampling distribution of p because it is not a population mean.
O D.
The Central Limit Theorem says that as the sample size grows large, the sampling distribution of p will approach the population distribution.
d. Find P (p>0.52).
P(p>0.52) =
(Round to three decimal places as needed.)
Transcribed Image Text:According to a dental association, 68% of all dentists use nitrous oxide (laughing gas) in their practice. In a random sample of 500 dentists, let p represent the proportion who use laughing gas in practice. Complete parts a through d below. a. Find E(p). E (6) (Round to two decimal places as needed.) = b. Find on. p (Round to four decimal places as needed.) c. What does the Central Limit Theorem say about the shape of the sampling distribution of p? O A. The Central Limit Theorem says that as the sample size grows large, the sampling distribution of p will become approximately normal. OB. The Central Limit Theorem says that the shape of the sampling distribution of p is completely determined by the population parameter p. С. The Central Limit Theorem does not say anything about the sampling distribution of p because it is not a population mean. O D. The Central Limit Theorem says that as the sample size grows large, the sampling distribution of p will approach the population distribution. d. Find P (p>0.52). P(p>0.52) = (Round to three decimal places as needed.)
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 3 steps with 3 images

Blurred answer
Knowledge Booster
Hypothesis Tests and Confidence Intervals for Means
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