33.) Which of the following does NOT apply to Type I Errors? a they occur when a

Question

33.) Which of the following does NOT apply to Type I Errors? a they occur when a researcher rejects a true null hypothesis b. generally, the maximum amount of Type I Error allowed is 5% c. the a-level corresponds to the probability of a Type IError d. they influence the power of a hypothesis test 34) Which of the following does NOT apply to Type II Errors? a Type II Eror influences the power of a hypothesis test b. they occur when a researcher fails to reject a false null hypothesis c. the probability of a Type 11 Error is known as beta (B) d none of the above (all of the above answers apply) Chapter 9: Introduction to the t Statistic 35.) Under which condition will a given t distribution best approximate the normal z distribution? a when gf 100 b. when df 35 c. when df 10 d. when df-1 36) What is the term for the estimated standard distance between a sample mean (M) and the populat mean (u)? a estimated standard deviation b. estimated standard variance c estimated standard treatment effect d estimated standard error 37) The major difference between a z- test and a t-test is a a z-test estimates population standard deviation b. a t-test estimates both population mean and standard deviation a z-test estimates both population mean and standard deviation d both answers a and b 38.) Under which conditions will it be very difficult to detect a treatment effect using the i-statistic? a with a small sample size and low sample variance b with a small sample size and high sample variance c. with a large sample size and low sample variance d with a large sample size and high sample variance 18 of 3825 words L

Explanation / Answer

(33) Option D, since the power of a hypothesis test is influenced by the probability of a Type II error.
(34) Option D, all the above options hold.
(35) Option A, since the t distribution approaches the normal distribution as the degrees of freedom increase.
(36) Option D, since estimated standard error shows how much distance is expected between the sample mean and the population mean.
(37) Option B, since in a t test, the test statistic contains the estimates of both the population mean and the population standard deviation.
(38) Option D, since large sample size and high sample variance makes the test statistic of the t test to be smaller than the critical value. This, in turn, results in the failure to reject the null hypothesis, which is "no treatment effect".

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