Ins 1. State whether each of the statements below is true (T) or false (a) During the hypothesis test procedure, we reject the null hypothesis if the test statistic falls within the rejection region. (b) A researcher cannot commit Type I and Type II errors at the same time, on the same hypothesis test. (c) The alternative hypothesis can be H1: p2 Po- (d) The Type II error probability increases with increasing sample size n. (e) If the null value lo lies in the two-sided 95% confidence interval for , then we reject the null hypothesis Ho : u = Ho in favor of the two-sided alternative H1: µ # po for a significance level a = 5%. (f) We want to make inference about two population means (from two independent populations). All the information we have is based on the sample, with both sample sizes greater than 40. The test statistic used for the hypothesis test will be a t-test.

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Chapter1: Combinatorial Analysis
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Ins
1.
State whether each of the statements below is true (T) or false
(a) During the hypothesis test procedure, we reject the null hypothesis if the test
statistic falls within the rejection region.
(b) A researcher cannot commit Type I and Type II errors at the same time,
on the same hypothesis test.
(c) The alternative hypothesis can be H1:p2 Po-
(d) The Type II error probability increases with increasing sample size n.
(e) If the null value lo lies in the two-sided 95% confidence interval for u, then
we reject the null hypothesis Ho : µ = Ho in favor of the two-sided alternative
H1: µ # µo for a significance level a = 5%.
(f) We want to make inference about two population means (from two independent
populations). All the information we have is based on the sample, with both
sample sizes greater than 40. The test statistic used for the hypothesis test will
be a t-test.
Transcribed Image Text:Ins 1. State whether each of the statements below is true (T) or false (a) During the hypothesis test procedure, we reject the null hypothesis if the test statistic falls within the rejection region. (b) A researcher cannot commit Type I and Type II errors at the same time, on the same hypothesis test. (c) The alternative hypothesis can be H1:p2 Po- (d) The Type II error probability increases with increasing sample size n. (e) If the null value lo lies in the two-sided 95% confidence interval for u, then we reject the null hypothesis Ho : µ = Ho in favor of the two-sided alternative H1: µ # µo for a significance level a = 5%. (f) We want to make inference about two population means (from two independent populations). All the information we have is based on the sample, with both sample sizes greater than 40. The test statistic used for the hypothesis test will be a t-test.
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