You will soon perform a hypothesis test with Ho: B=0 H1: B<0 , at a = .05. n) Explain, in "real world" terms what fact this hypothesis test is trying to prove. o) Explain what happens if the test results in a Type I error. Do not just paraphrase the definition of Type I error; tell specifically what conclusions are drawn and what actually is true in this example if a Type I error is made. p) Explain what happens if the test results in a Type II error. Do not just paraphrase the definition of Type II error; tell specifically what conclusions are drawn and what actually is true in this example if a Type II error is made. p) Perform the test and write your findings in plain English. g) A 95% confidence interval for B is (-1.999 , –1.186 ) and EXPLAIN what this tells you.

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You will soon perform a hypothesis test with
Ho: B =0
H1: B<0, at a = .05.
n) Explain, in "real world" terms what fact this hypothesis test is trying to prove.
o) Explain what happens if the test results in a Type I error. Do not just paraphrase the definition of Type I
error; tell specifically what conclusions are drawn and what actually is true in this example if a Type I
error is made.
p) Explain what happens if the test results in a Type II error. Do not just paraphrase the definition of Type
II error; tell specifically what conclusions are drawn and what actually is true in this example if a Type
II error is made.
p) Perform the test and write your findings in plain English.
g) A 95% confidence interval for B is (-1.999 ,-1.186 ) and EXPLAIN what this tells you.
Transcribed Image Text:You will soon perform a hypothesis test with Ho: B =0 H1: B<0, at a = .05. n) Explain, in "real world" terms what fact this hypothesis test is trying to prove. o) Explain what happens if the test results in a Type I error. Do not just paraphrase the definition of Type I error; tell specifically what conclusions are drawn and what actually is true in this example if a Type I error is made. p) Explain what happens if the test results in a Type II error. Do not just paraphrase the definition of Type II error; tell specifically what conclusions are drawn and what actually is true in this example if a Type II error is made. p) Perform the test and write your findings in plain English. g) A 95% confidence interval for B is (-1.999 ,-1.186 ) and EXPLAIN what this tells you.
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