/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q. 67 Determine which of the following... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

Determine which of the following are true and which are false. Then, in complete sentences, justify your answers.

a. When the sample size is large, the mean of X¯is approximately equal to the mean of X.

b. When the sample size is large, X¯is approximately normally distributed.

c. When the sample size is large, the standard deviation of X¯is approximately the same as the standard deviation of X.

Short Answer

Expert verified

All the statements are true.

The statements a,b,c of the question are true.

Step by step solution

01

Part (a) Step 1: Given Information 

We need to find this statement is true or false. " When the sample size is large, the mean of X¯ is approximately equal to the mean of X."

02

Part (a) Step 2: Explanation 

When the sample size is big, the central limit theorem holds true. The sample mean is almost equal to X¯.

03

Part (b) Step 1: Given Information 

We need to find this statement is true or false. " When the sample size is large, X¯is approximately normally distributed."

04

Part (b) Step 2: Explanation 

When the sample size is big, the central limit theorem holds true. Then X¯has a roughly normal distribution.

05

Part (c) Step 1: Given Information 

We need to find the statement is true or false. " When the sample size is large, the standard deviation of X¯is approximately the same as the standard deviation of X."

06

Part (c) Step 2: Explanation 

When the sample size is big, the central limit theorem holds true. The standard deviation of X¯is hence roughly equal to the sample mean's standard deviation.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91Ó°ÊÓ!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Suppose that the length of research papers is uniformly distributed from ten to \(25\) pages. We survey a class in which \(55\) research papers were turned in to a professor. The \(55\) research papers are considered a random collection of all papers. We are interested in the average length of the research papers.

a. In words, \(X= \)

b. \(X= ( , )\)

c. \(\mu_{x}= \)

The closing stock prices of 35U.S. semiconductor manufacturers are given as follows.

8.625;30.25;27.625;46.75;32.875;18.25;5;0.125;2.9375;6.875;28.25;24.25;21;1.5;30.25;71;43.5;49.25;2.5625;31;16.5;9.5;18.5;18;9;10.5;16.625;1.25;18;12.87;7;12.875;2.875;60.25;29.25

a. In words,Χ=______________

b. i.x=_____

ii.sx=_____

iii.n=_____

c. Construct a histogram of the distribution of the averages. Start at x=–0.0005. Use bar widths of ten.

d. In words, describe the distribution of stock prices.

e. Randomly average five stock prices together. (Use a random number generator.) Continue averaging five pieces

together until you have ten averages. List those ten averages.

f. Use the ten averages from part e to calculate the following.

i.x=_____

ii.sx=_____

g. Construct a histogram of the distribution of the averages. Start at x=-0.0005. Use bar widths of ten.

h. Does this histogram look like the graph in part c?

i. In one or two complete sentences, explain why the graphs either look the same or look different?

j. Based upon the theory of the central limit theorem,X¯~_____(_____,____)

An unknown distribution has a mean 12 and a standard deviation of one. A sample size of 25is taken.

LetX = the object of interest.

What is the mean of ΣX?

Find the probability that the sum of the 40 values is less than 7,000.

NeverReady batteries has engineered a newer, longer lasting AAA battery. The company claims this battery has an average life span of 17 hours with a standard deviation of 0.8 hours. Your statistics class questions this claim. As a class, you randomly select 30 batteries and find that the sample mean life span is 16.7 hours. If the process is working properly, what is the probability of getting a random sample of 30 batteries in which the sample mean lifetime is 16.7 hours or less? Is the company’s claim reasonable?

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.