research report describing the results from a single sample t test states, 122)-
ID: 3350768 • Letter: R
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research report describing the results from a single sample t test states, 122)-171 p>05 From this report you can conclude that the outcome of the hypothesis test was a. to reject the null hypothesis with a sample of n = 23 participants c. to reject the null hypothesis with a sample of n 22 participants b, to fail to reject the null hypothesis with a sample of n 23 participants d. to fail to reject the null hypothesis with a sample of n- 22 participants he range of raw scores ontained in an 80% confidence interval wil be the a. . of raw scores in contained in a 95% confidence interval. Larger than (wider) Smaller than (narrower)> c. d. the same size as none of the above is correct a. b. sample size Decreases the likelihood we will reject the null hypothesis. Increases the likelihood we will reject the null hypo Has no effect on the likelihood we will reject the null akes it more likely that we will commit a Type Il error measure of absolute magnitude of the effect for in a research study is known as: a. Cohen's d b-The coefficient of determination c. power d. sample characteristics When alpha increases increase. a. Standard error, power b. Power, probability of a Type I error d. Probability of a Type l error, probability of a Type Il error a.Single-sample t test In a within-groups design with two test is a(n aired-sample t b. Two-way analysis d. independent-sample t test ccording to the textbook, ahas more statistical power, however, ais more conservative. 1 tailed-test effect size test effect size test, hypothesis test a. 1 tailed test: 2 tailed test b. 2 tailed test: 1 tailed test t is known that the population mean for the verbal section of the SAT is 500 with standard deviation of 100. In 2006, a sample of 400 students whose family's annual income was between $70,000 and $80,000 had an average verbal SAT score of 51 The point estimate of the mean for this group is and the 80% confidence interval for this group is a. 500; (493.55, 506.45) b. 500; (504.55, 517.45) c. 511; (493.55, 506.45) d. 511; (504.55, 517.45)Explanation / Answer
1. Degrees of freedom = n - 1 = 22
this implies that n = 23
Where n is a sample size.
Decision rule:
1) If p-value < level of significance (alpha) then we reject null hypothesis
2) If p-value > level of significance (alpha) then we fail to reject null hypothesis.
Here p -value > 0.05
So correct option is b
2. If the confidence level increases the width ( or length ) of the confidence interval also increases.
So that the correct option is b
4) Conen's d used for measure the effect of the test. So correct option is a)
5) Probability of type I error is same as alpha.
Also power = 1 - Type II error
When we increase alpha that is type I error then type II error decreases and power increases.
So correct option is b)
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