A study was conducted to determine the proportion of people who dream in black a
ID: 3224370 • Letter: A
Question
A study was conducted to determine the proportion of people who dream in black and white instead of color. Among 322 people over the age of 55, 66 dream in black and white, and among 307 people under the age of 25, 18 dream in black and white. Use a 0,01 significance level to test the claim that the proportion of people over 55 who dream in black and white is greater than the proportion for those under 25. Complete parts (a) through (c) below. a. Test the claim using a hypothesis test. Consider the first sample to be the sample of people over the age of 55 and the second sample to be the sample of people under the age of 25. What are the null and alternative hypotheses for the hypothesis test? O A. Ho: p1 p2 O B. Ho: p1 p2 O C. Ho: p1 p2 H1:p1 p2 H1: p1 p2 O F Ho: p1 p2 O D. Ho: p1 sp2 O E. Ho: p1 2p2 H1: p1 p2 H1:p1 p2 Identify the test statistic (Round to two decimal places as needed.) Identify the P-value. P-value (Round to three decimal places as needed.) What is the conclusion based on the hypothesis test? The P-value is the significance level of a 0.01, so Y the null hypothesis. There is Y evidence to support the claim that the proportion of people over 55 who dream in black and white is greater than the proportion for those under 25 b. Test the claim by constructing an appropriate confidence interval. The 98% confidence interval is (p -p2) (Round to three decimal places as needed.) What is the conclusion based on the confidence interval? Because the confidence interval limits Y 0, it appears that the two proportions are Because the confidence interval limits include Y values, it appears that the proportion of people over 55 who dream in black and white is the proportion for those under 25 c. An explanation for the results is that those over the age of 55 grew up exposed to media that was displayed in black and white, Can these results be used to verify that explanation? O A. No. The results speak to a possible difference between the proportions of people over 55 and under 25 who dream in black and white, but the results cannot be used to verify the cause of such a difference. O B. Yes. The results can be used to verify the given explanation because the difference in is practically significant. proportions O C. Yes. The results can be used to verify the given explanation because the difference in proportions is statistically significant. O D. No. The results speak to a possible difference between the proportions of people over 55 and under 25 who dream in black and white, but the results are not statistically significant enough to verify the cause of such a difference.Explanation / Answer
Answer:
a). C. Ho.: P1=P2 H1: P1 > P2
z=5.39
P=0.000
P value is less than significance level, Reject Ho. There is sufficient evidence to support the claim.
b).
98% CI= (0.085, 0.207)
CI limits not contains 0, the proportions are different,
Positives values
Greater than
Z Test for Differences in Two Proportions
Data
Hypothesized Difference
0
Level of Significance
0.01
Group 1
Number of Items of Interest
66
Sample Size
322
Group 2
Number of Items of Interest
18
Sample Size
307
Intermediate Calculations
Group 1 Proportion
0.2050
Group 2 Proportion
0.0586
Difference in Two Proportions
0.1463
Average Proportion
0.1335
Z Test Statistic
5.3931
Upper-Tail Test
Upper Critical Value
2.3263
p-Value
0.0000
Reject the null hypothesis
Confidence Interval Estimate
of the Difference Between Two Proportions
Data
Confidence Level
98%
Intermediate Calculations
Z Value
-2.3263
Std. Error of the Diff. between two Proportions
0.0262
Interval Half Width
0.0609
Confidence Interval
Interval Lower Limit
0.0854
Interval Upper Limit
0.2073
Z Test for Differences in Two Proportions
Data
Hypothesized Difference
0
Level of Significance
0.01
Group 1
Number of Items of Interest
66
Sample Size
322
Group 2
Number of Items of Interest
18
Sample Size
307
Intermediate Calculations
Group 1 Proportion
0.2050
Group 2 Proportion
0.0586
Difference in Two Proportions
0.1463
Average Proportion
0.1335
Z Test Statistic
5.3931
Upper-Tail Test
Upper Critical Value
2.3263
p-Value
0.0000
Reject the null hypothesis
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