A study was conducted to determine the proportion of people who dream in black and white instead of color. Among 290 people over the age of 55, 62 dream in black and white, and among 297 people under the age of 25, 11 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? OA. Ho: P₁ = P2 H₁: P₁ P2 O D. Ho: P₁ P2 H₁: P₁ = P2 Identify the test statistic. Z= (Round to two decimal places as needed.) Identify the P-value. O B. Ho: P₁ P2 H₁: P₁ P2 P2 O E. Ho: P1 H₁: P₁ P2 P-value= (Round to three decimal places as needed.) What is the conclusion based on the hypothesis test? Because the confidence interval limits include the proportion for those under 25. b. Test the claim by constructing an appropriate confidence interval. The 98% confidence interval is < (P₁-P₂) <. (Round to three decimal places as needed.) What is the conclusion based on the confidence interval? O C. Ho: P₁ P2 H₁: P₁ P2 The P-value is the significance level of α = 0.01, so the null hypothesis. There is that the proportion of people over 55 who dream in black and white is greater than the proportion for those under 25. OF. Ho: P1 = P2 H₁: P1 P2 ▼0, it appears that the two proportions are values, it appears that the proportion of people over 55 who dream in black and white is evidence to support the claim Because the confidence interval limits 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. 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. O 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 cannot be used to verify the cause of such a difference. O C. Yes. The results can be used to verify the given explanation because the difference in proportions is practically significant. O D. Yes. The results can be used to verify the given explanation because the difference in proportions is statistically significant.
A study was conducted to determine the proportion of people who dream in black and white instead of color. Among 290 people over the age of 55, 62 dream in black and white, and among 297 people under the age of 25, 11 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? OA. Ho: P₁ = P2 H₁: P₁ P2 O D. Ho: P₁ P2 H₁: P₁ = P2 Identify the test statistic. Z= (Round to two decimal places as needed.) Identify the P-value. O B. Ho: P₁ P2 H₁: P₁ P2 P2 O E. Ho: P1 H₁: P₁ P2 P-value= (Round to three decimal places as needed.) What is the conclusion based on the hypothesis test? Because the confidence interval limits include the proportion for those under 25. b. Test the claim by constructing an appropriate confidence interval. The 98% confidence interval is < (P₁-P₂) <. (Round to three decimal places as needed.) What is the conclusion based on the confidence interval? O C. Ho: P₁ P2 H₁: P₁ P2 The P-value is the significance level of α = 0.01, so the null hypothesis. There is that the proportion of people over 55 who dream in black and white is greater than the proportion for those under 25. OF. Ho: P1 = P2 H₁: P1 P2 ▼0, it appears that the two proportions are values, it appears that the proportion of people over 55 who dream in black and white is evidence to support the claim Because the confidence interval limits 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. 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. O 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 cannot be used to verify the cause of such a difference. O C. Yes. The results can be used to verify the given explanation because the difference in proportions is practically significant. O D. Yes. The results can be used to verify the given explanation because the difference in proportions is statistically significant.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
100%
![A study was conducted to determine the proportion of people who dream in black and white instead of color. Among 290 people over the age of 55, 62
dream in black and white, and among 297 people under the age of 25, 11 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?
A. Ho: P₁ = P2
H₁: P₁ P2
O D. Ho: P1 P₂
H₁: P₁ = P2
Identify the test statistic.
Z=
(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?
B. Ho: P₁ P2
H₁: P₁ P2
Because the confidence interval limits
include
the proportion for those under 25.
E. Ho: P₁ = P2
H₁: P₁ P2
OC. Ho: P₁
H₁: P₁
The P-value is
the significance level of α = 0.01, so
the null hypothesis. There is
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 < (P₁-P₂) <
(Round to three decimal places as needed.)
What is the conclusion based on the confidence interval?
OF. Ho: P1 P2
P2
H₁: P₁
P2
P2
0, it appears that the two proportions are
values, it appears that the proportion of people over 55 who dream in black and white is
evidence to support the claim
Because the confidence interval limits
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 are not statistically significant enough to verify the cause of such a difference.
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 cannot be used to verify the cause of such a difference.
C. Yes. The results can be used to verify the given explanation because the difference in proportions is practically significant.
D. Yes. The results can be used to verify the given explanation because the difference in proportions is statistically significant.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F66f09ad5-5cca-4c93-b84c-f343030698ec%2F9183c05a-42a9-41b9-826f-f36211148b78%2F2s9opih_processed.png&w=3840&q=75)
Transcribed Image Text:A study was conducted to determine the proportion of people who dream in black and white instead of color. Among 290 people over the age of 55, 62
dream in black and white, and among 297 people under the age of 25, 11 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?
A. Ho: P₁ = P2
H₁: P₁ P2
O D. Ho: P1 P₂
H₁: P₁ = P2
Identify the test statistic.
Z=
(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?
B. Ho: P₁ P2
H₁: P₁ P2
Because the confidence interval limits
include
the proportion for those under 25.
E. Ho: P₁ = P2
H₁: P₁ P2
OC. Ho: P₁
H₁: P₁
The P-value is
the significance level of α = 0.01, so
the null hypothesis. There is
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 < (P₁-P₂) <
(Round to three decimal places as needed.)
What is the conclusion based on the confidence interval?
OF. Ho: P1 P2
P2
H₁: P₁
P2
P2
0, it appears that the two proportions are
values, it appears that the proportion of people over 55 who dream in black and white is
evidence to support the claim
Because the confidence interval limits
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 are not statistically significant enough to verify the cause of such a difference.
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 cannot be used to verify the cause of such a difference.
C. Yes. The results can be used to verify the given explanation because the difference in proportions is practically significant.
D. Yes. The results can be used to verify the given explanation because the difference in proportions is statistically significant.
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