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 0.01 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 312 143 50 Female 303 148 54 Click here to view the chi-square distribution table. LOADING... Identify the null and alternative hypotheses. Upper H 0: ▼ The sex of the respondent Respondents who answered yes The choice for human activity and ▼ the choice for natural patterns the choice for the cause of global warming the respondents who answered no are ▼ dependent. independent. Upper H 1: ▼ The sex of the respondent The choice for human activity Respondents who answered yes and ▼ the respondents who answered no the choice for natural patterns the choice for the cause of global warming are ▼ independent. dependent. Compute the test statistic. nothing (Round to three decimal places as needed.) Find the critical value(s). nothing (Round to three decimal places as needed. Use a comma to separate answers as needed.) What is the conclusion based on the hypothesis test? ▼ Reject Fail to reject Upper H 0. There ▼ is is not sufficient evidence to warrant rejection of the claim that the sex of the respondent is independent of the choice for the cause of global warming. Men and women ▼ do not appear appear to agree. Enter your answer in each of the answer boxes.
Null Hypothesis
Ho: sex and choice for the cause of global warming are independent
Alternate hypothesis
Ha: sex and choice for the cause of global warming are dependent
Applying chi square test:
Observed |
Oi | human activity | natural pattern | Do not know | Total |
male | 312 | 143 | 50 | 505 | |
female | 303 | 148 | 54 | 505 | |
Total | 615 | 291 | 104 | 1010 | |
Expected | Ei=(row*column)/Total | human activity | natural pattern | Do not know | Total |
male | 307.5 | 145.5 | 52 | 505 | |
female | 307.5 | 145.5 | 52 | 517 | |
Total | 615 | 291 | 104 | 1010 | |
Chi square |
=(Oi-Ei)2/Ei |
human activity | natural pattern | Do not know | Total |
male | 0.065854 | 0.042955 | 0.076923 | 0.185732 | |
female | 0.065854 | 0.042955 | 0.076923 | 0.185732 | |
Total | 0.131707 | 0.085911 | 0.153846 | 0.371464 |
Chi square stat is given by below formula
Here degree of freedom is given by below formula
D.f=(Row-1)(Column-1)=(3-1)*(2-1)=2
So for 2 degree of freedom and 0.01 significance level
Chi square Critical value at 0.01 significance level is given as 9.21
Value of chi square stat is given as 0.37
and value of p would be 0.83
It means it is greater than level of significance
Or We fail to reject the null hypothesis
There is not sufficient evidence to support the null hypothesis
Because chi square stat<Chi square critical
Or We fail to reject the null hypothesis
There is not sufficient evidence to warrant rejection of the claim that the sex of the respondent is independent of the choice for the cause of global warming.
Men and women do not appear to agree
hence conclude that: Sex of the respondent is independent of the choice for the cause of global warming
A poll was conducted to investigate opinions about global warming. The respondents who answered yes when...
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