The Practice of Statistics for AP - 4th Edition
The Practice of Statistics for AP - 4th Edition
4th Edition
ISBN: 9781429245593
Author: Starnes, Daren S., Yates, Daniel S., Moore, David S.
Publisher: Macmillan Higher Education
bartleby

Concept explainers

bartleby

Videos

Question
Book Icon
Chapter 10.2, Problem 45E

a.

To determine

To explain: Whether the two-sample procedure could be used here or not.

a.

Expert Solution
Check Mark

Answer to Problem 45E

Yes.

Explanation of Solution

Given:

  Groupnx¯sxMales6751884.521368.37Females6211360.391037.46

Formula used:

The formula to compute the confidence interval is:

  (x¯1x¯2)±tα/2,df×s12n1+s22n2

It is not possible for the earing to take the negative values and the value of the standard deviation is equal to the mean which implies that the distribution is skewed and the values are within 2 standard deviations of the mean which implies that the two-sample procedure could be used here.

b.

To determine

To find: The 90% confidence interval for the difference between the mean earnings of female and male at the university and interpret it.

b.

Expert Solution
Check Mark

Answer to Problem 45E

The confidence interval is (413.62, 634.64).

Explanation of Solution

Calculation:

The 90% confidence interval for the difference between the mean earnings of female and male at the university using Ti-83 calculator can be calculated as:

  The Practice of Statistics for AP - 4th Edition, Chapter 10.2, Problem 45E

Thus, the confidence interval is (413.62, 634.64).

Interpretation:

There is 90% probability that the mean difference between the earning is between $413.62 and $634.64.

c.

To determine

To interpret: The confidence interval computed in above part.

c.

Expert Solution
Check Mark

Explanation of Solution

The confidence interval shows that on an average 90% of the samples have confidence interval that are containing the mean difference of the earning of the men and women.

Chapter 10 Solutions

The Practice of Statistics for AP - 4th Edition

Ch. 10.1 - Prob. 4ECh. 10.1 - Prob. 5ECh. 10.1 - Prob. 6ECh. 10.1 - Prob. 7ECh. 10.1 - Prob. 8ECh. 10.1 - Prob. 9ECh. 10.1 - Prob. 10ECh. 10.1 - Prob. 11ECh. 10.1 - Prob. 12ECh. 10.1 - Prob. 13ECh. 10.1 - Prob. 14ECh. 10.1 - Prob. 15ECh. 10.1 - Prob. 16ECh. 10.1 - Prob. 17ECh. 10.1 - Prob. 18ECh. 10.1 - Prob. 19ECh. 10.1 - Prob. 20ECh. 10.1 - Prob. 21ECh. 10.1 - Prob. 22ECh. 10.1 - Prob. 23ECh. 10.1 - Prob. 24ECh. 10.1 - Prob. 25ECh. 10.1 - Prob. 26ECh. 10.1 - Prob. 27ECh. 10.1 - Prob. 28ECh. 10.1 - Prob. 29ECh. 10.1 - Prob. 30ECh. 10.1 - Prob. 31ECh. 10.1 - Prob. 32ECh. 10.1 - Prob. 33ECh. 10.1 - Prob. 34ECh. 10.2 - Prob. 1.1CYUCh. 10.2 - Prob. 1.2CYUCh. 10.2 - Prob. 1.3CYUCh. 10.2 - Prob. 1.4CYUCh. 10.2 - Prob. 2.1CYUCh. 10.2 - Prob. 3.1CYUCh. 10.2 - Prob. 35ECh. 10.2 - Prob. 36ECh. 10.2 - Prob. 37ECh. 10.2 - Prob. 38ECh. 10.2 - Prob. 39ECh. 10.2 - Prob. 40ECh. 10.2 - Prob. 41ECh. 10.2 - Prob. 42ECh. 10.2 - Prob. 43ECh. 10.2 - Prob. 44ECh. 10.2 - Prob. 45ECh. 10.2 - Prob. 46ECh. 10.2 - Prob. 47ECh. 10.2 - Prob. 48ECh. 10.2 - Prob. 49ECh. 10.2 - Prob. 50ECh. 10.2 - Prob. 51ECh. 10.2 - Prob. 52ECh. 10.2 - Prob. 53ECh. 10.2 - Prob. 54ECh. 10.2 - Prob. 55ECh. 10.2 - Prob. 56ECh. 10.2 - Prob. 57ECh. 10.2 - Prob. 58ECh. 10.2 - Prob. 59ECh. 10.2 - Prob. 60ECh. 10.2 - Prob. 61ECh. 10.2 - Prob. 62ECh. 10.2 - Prob. 63ECh. 10.2 - Prob. 64ECh. 10.2 - Prob. 65ECh. 10.2 - Prob. 66ECh. 10.2 - Prob. 67ECh. 10.2 - Prob. 68ECh. 10.2 - Prob. 69ECh. 10.2 - Prob. 70ECh. 10.2 - Prob. 71ECh. 10.2 - Prob. 72ECh. 10.2 - Prob. 73ECh. 10.2 - Prob. 74ECh. 10.2 - Prob. 75ECh. 10.2 - Prob. 76ECh. 10 - Prob. 1CRECh. 10 - Prob. 2CRECh. 10 - Prob. 3CRECh. 10 - Prob. 4CRECh. 10 - Prob. 5CRECh. 10 - Prob. 6CRECh. 10 - Prob. 7CRECh. 10 - Prob. 8CRECh. 10 - Prob. 9CRECh. 10 - Prob. 10CRECh. 10 - Prob. 1PTCh. 10 - Prob. 2PTCh. 10 - Prob. 3PTCh. 10 - Prob. 4PTCh. 10 - Prob. 5PTCh. 10 - Prob. 6PTCh. 10 - Prob. 7PTCh. 10 - Prob. 8PTCh. 10 - Prob. 9PTCh. 10 - Prob. 10PTCh. 10 - Prob. 11PTCh. 10 - Prob. 12PTCh. 10 - Prob. 13PTCh. 10 - Prob. 1PT3Ch. 10 - Prob. 2PT3Ch. 10 - Prob. 3PT3Ch. 10 - Prob. 4PT3Ch. 10 - Prob. 5PT3Ch. 10 - Prob. 6PT3Ch. 10 - Prob. 7PT3Ch. 10 - Prob. 8PT3Ch. 10 - Prob. 9PT3Ch. 10 - Prob. 10PT3Ch. 10 - Prob. 11PT3Ch. 10 - Prob. 12PT3Ch. 10 - Prob. 13PT3Ch. 10 - Prob. 14PT3Ch. 10 - Prob. 15PT3Ch. 10 - Prob. 16PT3Ch. 10 - Prob. 17PT3Ch. 10 - Prob. 18PT3Ch. 10 - Prob. 19PT3Ch. 10 - Prob. 20PT3Ch. 10 - Prob. 21PT3Ch. 10 - Prob. 22PT3Ch. 10 - Prob. 23PT3Ch. 10 - Prob. 24PT3Ch. 10 - Prob. 25PT3Ch. 10 - Prob. 26PT3Ch. 10 - Prob. 27PT3Ch. 10 - Prob. 28PT3Ch. 10 - Prob. 29PT3Ch. 10 - Prob. 30PT3Ch. 10 - Prob. 31PT3Ch. 10 - Prob. 32PT3Ch. 10 - Prob. 33PT3Ch. 10 - Prob. 34PT3Ch. 10 - Prob. 35PT3
Knowledge Booster
Background pattern image
Statistics
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
Text book image
MATLAB: An Introduction with Applications
Statistics
ISBN:9781119256830
Author:Amos Gilat
Publisher:John Wiley & Sons Inc
Text book image
Probability and Statistics for Engineering and th...
Statistics
ISBN:9781305251809
Author:Jay L. Devore
Publisher:Cengage Learning
Text book image
Statistics for The Behavioral Sciences (MindTap C...
Statistics
ISBN:9781305504912
Author:Frederick J Gravetter, Larry B. Wallnau
Publisher:Cengage Learning
Text book image
Elementary Statistics: Picturing the World (7th E...
Statistics
ISBN:9780134683416
Author:Ron Larson, Betsy Farber
Publisher:PEARSON
Text book image
The Basic Practice of Statistics
Statistics
ISBN:9781319042578
Author:David S. Moore, William I. Notz, Michael A. Fligner
Publisher:W. H. Freeman
Text book image
Introduction to the Practice of Statistics
Statistics
ISBN:9781319013387
Author:David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:W. H. Freeman
Statistics 4.1 Point Estimators; Author: Dr. Jack L. Jackson II;https://www.youtube.com/watch?v=2MrI0J8XCEE;License: Standard YouTube License, CC-BY
Statistics 101: Point Estimators; Author: Brandon Foltz;https://www.youtube.com/watch?v=4v41z3HwLaM;License: Standard YouTube License, CC-BY
Central limit theorem; Author: 365 Data Science;https://www.youtube.com/watch?v=b5xQmk9veZ4;License: Standard YouTube License, CC-BY
Point Estimate Definition & Example; Author: Prof. Essa;https://www.youtube.com/watch?v=OTVwtvQmSn0;License: Standard Youtube License
Point Estimation; Author: Vamsidhar Ambatipudi;https://www.youtube.com/watch?v=flqhlM2bZWc;License: Standard Youtube License