In: Statistics and Probability
A poll was conducted to investigate opinions about global warming. The respondents who answered yes when asked if there is solid evidence that the earth is getting warmer were then asked to select a cause of global warming. The results are given in the accompanying data table. Use a
0.050.05
significance level to test the claim that the sex of the respondent is independent of the choice for the cause of global warming. Do men and women appear to agree, or is there a substantial difference?
Human activity |
Natural patterns |
Don't know |
||
---|---|---|---|---|
Male |
305305 |
158158 |
5656 |
|
Female |
326326 |
133133 |
5252 |
Click here to view the chi-square distribution table.
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Identify the null and alternative hypotheses.
Upper H 0H0:
The sex of the respondent
and
the choice for the cause of global warming
are
independent.
Upper H 1H1:
The sex of the respondent
and
the choice for the cause of global warming
are
dependent.
Compute the test statistic.
nothing
(Round to three decimal places as needed.) can you breakdown the problem please?
degree of freedom(df) =(rows-1)*(columns-1)= | 2 |
Applying chi square test statistic:
Expected | Ei=row total*column total/grand total | human activity | Natural Patterns | Don't know | Total |
Male | 317.95 | 146.63 | 54.42 | 519 | |
female | 313.05 | 144.37 | 53.58 | 511 | |
total | 631 | 291 | 108 | 1030 | |
chi square χ2 | =(Oi-Ei)2/Ei | human activity | Natural Patterns | Don't know | Total |
Male | 0.5275 | 0.8816 | 0.0459 | 1.455 | |
female | 0.5357 | 0.8954 | 0.0466 | 1.478 | |
total | 1.063 | 1.777 | 0.093 | 2.9328 |
test statistic X2 =2.933
p value =0.2307
as test statistic is less than critical value 5.991 we can not reject null hypothesis