To test Ho: μ = 100 versus H₁: μ# 100, a simple random sample size of n = 16 is obtained from a population that is known to be normally distributed. Answer parts (a)-(d). Click here to view the t-Distribution Area in Right Tail. ... (a) If x= 104.4 and s= 9.1, compute the test statistic. (Round to three decimal places as needed.) (b) If the researcher decides to test this hypothesis at the α = 0.01 level of significance, determine the critical values. The critical values are (Use a comma to separate answers as needed. Round to three decimal places as needed)

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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To test Ho: μ = 100 versus H₁: µ# 100, a simple random sample size of n = 16 is obtained from a population that is
known to be normally distributed. Answer parts (a)-(d).
Click here to view the t-Distribution Area in Right Tail.
....
(a) If x= 104.4 and s= 9.1, compute the test statistic.
(Round to three decimal places as needed.)
(b) If the researcher decides to test this hypothesis at the x = 0.01 level of significance, determine the critical
values.
The critical values are
(Use a comma to separate answers as needed. Round to three decimal places as needed.)
Transcribed Image Text:To test Ho: μ = 100 versus H₁: µ# 100, a simple random sample size of n = 16 is obtained from a population that is known to be normally distributed. Answer parts (a)-(d). Click here to view the t-Distribution Area in Right Tail. .... (a) If x= 104.4 and s= 9.1, compute the test statistic. (Round to three decimal places as needed.) (b) If the researcher decides to test this hypothesis at the x = 0.01 level of significance, determine the critical values. The critical values are (Use a comma to separate answers as needed. Round to three decimal places as needed.)
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