To test Ho: µ = 20 versus H,: µ< 20, a simple random sample of size n= 17 is obtained from a population that is known to be normally distributed. Answer parts (a)-(d). 1 Click here to view the t-Distribution Area in Right Tail. (a) If x = 18.1 and s = 4.1, compute the test statistic. t = (Round to two decimal places as needed.) (b) Draw a t-distribution with the area that represents the P-value shaded. Which of the following graphs shows the correct shaded region? A. О в.
To test Ho: µ = 20 versus H,: µ< 20, a simple random sample of size n= 17 is obtained from a population that is known to be normally distributed. Answer parts (a)-(d). 1 Click here to view the t-Distribution Area in Right Tail. (a) If x = 18.1 and s = 4.1, compute the test statistic. t = (Round to two decimal places as needed.) (b) Draw a t-distribution with the area that represents the P-value shaded. Which of the following graphs shows the correct shaded region? A. О в.
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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
Transcribed Image Text:To test \( H_0: \mu = 20 \) versus \( H_1: \mu < 20 \), a simple random sample of size \( n = 17 \) is obtained from a population that is known to be normally distributed. Answer parts (a)-(d).
1. Click here to view the t-Distribution Area in Right Tail.
(a) If \( \bar{x} = 18.1 \) and \( s = 4.1 \), compute the test statistic.
\( t = \_\_\_\_\_\_ \) (Round to two decimal places as needed.)
(b) Draw a t-distribution with the area that represents the P-value shaded. Which of the following graphs shows the correct shaded region?
- Option A: Graph shows a left-skewed area shaded.
- Option B: Graph shows a right-skewed area shaded.
(c) Approximate the P-value. Choose the correct range for the P-value below.
- Option A: \( 0.05 < \text{P-value} < 0.10 \)
- Option B: \( 0.15 < \text{P-value} < 0.20 \)
- Option C: \( 0.025 < \text{P-value} < 0.05 \)
- Option D: \( 0.10 < \text{P-value} < 0.15 \)
(d) If the researcher decides to test this hypothesis at the \( \alpha = 0.05 \) level of significance, will the researcher reject the null hypothesis?
- Option A: The researcher will not reject the null hypothesis since the P-value is less than \( \alpha \).
- Option B: The researcher will reject the null hypothesis since the P-value is not less than \( \alpha \).
- Option C: The researcher will not reject the null hypothesis since the P-value is not less than \( \alpha \).
- Option D: The researcher will reject the null hypothesis since the P-value is less than \( \alpha \).
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