Question

In: Math

Data from 1991 General Social Survey classify a sample of Americans according to their gender and...

Data from 1991 General Social Survey classify a sample of Americans according to their gender and their opinion about afterlife (example from A. Agresti, 1996, “Introduction to categorical data analysis”). The opinions about afterlife were classified into two categories: Yes and No (or undecided). For example, for the females in the sample - 435 said that they believed in an afterlife and 147 said that they did not or were undecided.

Gender

Belief in Afterlife

Yes

No or Undecided

Females

435

147

Males

375

134

Estimate the proportion of females who believed in an afterlife (Use a 95% Confidence Interval).

Sample proportion:

Std error for sample proportion

Confidence interval:

Lower boundary

Upper boundary

Test hypothesis that the majority of females (that is, more than 50% females) believed in an afterlife.

- Using a z-score test

Null hypothesis

Research hypothesis

Value of the test statistics

Critical value used in your decision making

State your conclusion

Using c2 test

Categories

Expected ps

Expected frequencies

Observed frequencies

Chie-square calculations

Yes

No

Null hypothesis

Research hypothesis

Value of the test statistics

Critical value used in your decision making

State your conclusion

Solutions

Expert Solution

Sample proportion is

The standard error is:

For 95% confidence interval, using excel function "=NORMSINV(0.975)", critical value of z will be
---------------------------

Confidence interval for population proportion will be

Lower bound: 0.71212

Upper bound: 0.78268

---------------------

Hypotheses are:

Standard deviation of the proportion is:

Test statistics will be:

The critical value z for 0.05 signficance level is 1.645.

Since z > 1.645, so we reject the null hypothesis

Alternative hypothesis shows that the test is right tailed so p-value of the test is

P(z > 11.95) = 0.0000

Since p-value of the test is lesser than 0.05 so we reject the null hypothesis at 0.05 level of significance. So based on this sample, there is support for the claim that he majority of females (that is, more than 50% females) believed in an afterlife.


Excel function used for p-value : "=1-NORMSDIST(11.95)"


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