please help solve attached the p value is less than or greater than the significance level ofα=0.05, so reject or fail to reject the null hypothesis There is sufficient or insufficient 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. What is the conclusion based on the confidence interval? Because the confidence interval limits include or do not include0, it appears that the two proportions are equal or not equal.Because the confidence interval limits include only negativeor only positive or positive and negative values, it appears that the proportion of people over 55 who dream in black and white is lesser than greater than not significantly different from the proportion for those under 25. A study was conducted to determine the proportion of people who dream in black and white instead of color. Among 305 people over the age of 55, 80 dream in black and white, and among 305 people under the age of 25, 18 dream in black andwhite. Use a 0.05 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.(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 isthe significance level of a = 0.05, sothe null hypothesis. There isevidence to support the claim that the proportion of people over 55 who dream in black and white is greater than theproportion for those under 25.b. Test the claim by constructing an appropriate confidence interval.(P1 - P2) <(Round to three decimal places as needed.)The 90% confidence interval isWhat is the conclusion based on the confidence interval?Because the confidence interval limitsV 0, it appears that the two proportions areBecause the confidence interval limits includevalues, it appears that the proportion of people over 55 whodream in black and white isthe 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?A. Yes. The results can be used to verify the given explanation because the difference in proportions is statistically significant.B. 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.C. 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.D. Yes. The results can be used to verify the given explanation because the difference in proportions is practically significant.Click to select your answer(s).(?Save for Later A study was conducted to determine the proportion of people who dream in black and white instead of color. Among 305 people over the age of 55, 80 dream in black and white, and among 305 people under the age of 25, 18 dream in black andwhite. Use a 0.05 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?A. Ho: P1 sP2В. Но: Р1 2 Р2C. Ho: P1 = P2H1:P1 # P2H1: P1 # P2H1:P1 # P2O D. Ho: P1 = P2H1: P1 > P2O E. Ho: P1 = P2H1: P1

Name: please help solve attached the p value is less than or greater than th
Uploaded: 2024-03-20T07:07:00.000Z
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Description: please help solve attached the p value is less than or greater than the significance level ofα=0.05, so reject or fail to reject the null hypothesis There is sufficient or insufficient evidence to support the claim that the proportion of people over