Use the χ2 test for goodness of fit to test the hypothesis that the number of suicides reported for each year from 1990 to 2001 does not differ significantly from an equal number of suicides in each year. (0.05 significance). Based on this result, what might you conclude about the newspaper report, especially in light of the extra information for 1990 – 2001 that is now available to you? Also comment on any possible errors in your own words in the conclusion. For α = 0.05 and 11 degrees of freedom, the χ2 value from the table in Appendix is 19.675

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

The media often seizes on yearly changes in crime or other statistics. A large jump in the
number of murders from one year to the next, or a large. Decline in the support for a particular
political party may become the subject of many news reports and analysis. These statistics may
be expected to show some shift from year to year, just because there is variation in any
phenomenon. This question addresses this issue by looking at changes in the annual number of
suicides in the province of India.
‘Suicides in India declined by more than 13% from 1993 to 1994,” was the headline in the
India Times in early 1995. The article went on to interview several noted experts on suicide
who gave possible reasons for the large decline. As a student who has just completed a
simulation & Modeling course, you came across the article and decide to check out the data.
By consulting Table given below of India Health, Vital Statistics, Annual Report, for various
years, you find the figures for 1990-2001. The data is given in Table.

Year       1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001
Number 164   142   153   171   171   148   136   133   138   132   145  124
of
Suicides

Use the χ2 test for goodness of fit to test the hypothesis that the number of suicides reported for each year from 1990 to 2001 does not differ significantly from an equal number of suicides in each year. (0.05 significance). Based on this result, what might you conclude about the newspaper report, especially in light of the extra information for 1990 – 2001 that is now available to you? Also comment on any possible errors in your own words in the conclusion.
For α = 0.05 and 11 degrees of freedom, the χ2 value from the table in Appendix is 19.675

Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps with 2 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