
a.
State the null and alternate hypotheses.
a.

Answer to Problem 2CYU
The hypotheses are given below:
Null hypothesis:
That is, there is no significant difference between the proportion of voters over the age 60 years supporting increase in social security benefits and the proportion of voters of age 18-25 years supporting increase in social security benefits.
Alternate hypothesis:
That is, the proportion of voters over the age 60 years supporting increase in social security benefits is significantly greater than the proportion of voters of age 18-25 years supporting increase in social security benefits.
Explanation of Solution
It is given that among a sample of 200 voters of age over 60 years, 95 voters supported increase in social security benefits and among a sample of 150 voters of age 18-25 years, 63 voters supported increase in social security benefits. The investigator wants to check whether the proportion of voters over the age 60 years supporting increase in social security benefits is significantly greater than the proportion of voters of age 18-25 years supporting increase in social security benefits. The level of significance is
Hypothesis:
Hypothesis is an assumption about the parameter of the population, and the assumption may or may not be true.
Let
Claim:
Here, the claim is whether the proportion of voters over the age 60 years supporting increase in social security benefits is significantly greater than the proportion of voters of age 18-25 years supporting increase in social security benefits.
The hypotheses are given below:
Null hypothesis:
Null hypothesis is a statement which is tested for statistical significance in the test. The decision criterion indicates whether the null hypothesis will be rejected or not in the favor of alternate hypothesis.
That is, there is no significant difference between the proportion of voters over the age 60 years supporting increase in social security benefits and the proportion of voters of age 18-25 years supporting increase in social security benefits.
Alternate hypothesis:
Alternate hypothesis is contradictory statement of the null hypothesis
That is, the proportion of voters over the age 60 years supporting increase in social security benefits is significantly greater than the proportion of voters of age 18-25 years supporting increase in social security benefits.
b.
Find the proportion of voters over the age 60 years supporting increase in social security benefits.
Find the proportion of voters of age 18-25 years supporting increase in social security benefits.
b.

Answer to Problem 2CYU
The proportion of voters over the age 60 years supporting increase in social security benefits is
The proportion of voters of age 18-25 years supporting increase in social security benefits is
Explanation of Solution
Calculation:
Proportion of voters over the age 60 years supporting increase in social security benefits:
The total number of voters over the age 60 years is
The proportion of voters over the age 60 years supporting increase in social security benefits is obtained as follows:
Thus, the proportion of voters over the age 60 years supporting increase in social security benefits is 0.475.
Proportion of voters of age 18-25 years supporting increase in social security benefits:
The total number of voters of age 18-25 years is
The proportion of voters of age 18-25 years supporting increase in social security benefits is obtained as follows:
Thus, the proportion of voters of age 18-25 years supporting increase in social security benefits is 0.42.
c.
Find the value of t-test statistic.
c.

Answer to Problem 2CYU
The value of test statistic is 1.02326.
Explanation of Solution
Calculation:
Estimate of pooled proportion:
The estimate of pooled proportion is obtained as follows:
Thus, the estimate of pooled proportion is 0.4514.
From part (b), the sample proportions are
Test statistic:
The test statistic for testing the difference between two proportions is,
Under the null hypothesis,
The test statistic is obtained as follows,
Thus, the test statistic is 1.02326.
d.
Find the P-value for the test statistic.
d.

Answer to Problem 2CYU
The P-value for the test statistic is 0.1531.
Explanation of Solution
P-value:
Software procedure:
Step-by-step procedure to obtain the P-value using the MINITAB software:
- Choose Graph > Probability Distribution Plot.
- Choose View Probability > OK.
- From Distribution, choose ‘Normal’ distribution.
- Click the Shaded Area tab.
- Choose X value and Right Tail for the region of the curve to shade.
- In X-value enter 1.02326.
- Click OK.
Output using the MINITAB software is given below:
From the MINITAB output, the P-value is 0.1531.
Thus, the P-value is 0.1531.
e.
Interpret the P-value at the level of significance
e.

Answer to Problem 2CYU
There is not enough evidence to reject the null hypothesis
Explanation of Solution
From part (d), the P-value is 0.1531.
Decision rule based on P-value:
If
If
Here, the level of significance is
Conclusion based on P-value approach:
The P-value is 0.1531 and
Here, P-value is greater than the
That is,
By the rejection rule, fail to reject the null hypothesis.
Thus, there is not enough evidence to reject the null hypothesis
f.
State the conclusion.
f.

Answer to Problem 2CYU
There is not enough evidence to conclude that the proportion of voters over the age 60 years supporting increase in social security benefits is significantly greater than the proportion of voters of age 18-25 years supporting increase in social security benefits.
Explanation of Solution
From part (e), it is known that the null hypothesis is not rejected.
Therefore, there is no significant difference between the proportion of voters over the age 60 years supporting increase in social security benefits and the proportion of voters of age 18-25 years supporting increase in social security benefits.
Thus, there is not enough evidence to conclude that the proportion of voters over the age 60 years supporting increase in social security benefits is significantly greater than the proportion of voters of age 18-25 years supporting increase in social security benefits.
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Chapter 9 Solutions
Essential Statistics
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