If a sample continents of a = 15 individuals, than what is the value for the f s
ID: 3200255 • Letter: I
Question
If a sample continents of a = 15 individuals, than what is the value for the f stannic? a. 15 b. 15 c. 14 d. cannot be determined from the intermediation given. If other factors are held constant, which of the following as a consequence of increasing the sample size? a. An increased are held constant, which of the following as a consequence of increasing the sample size? a. An increased standard error and an increased Kingwood of rejecting h_0. b. An increased standard error and a decreased likelihood of rejecting H_0. c. A decreased standard error and an increased likelihood of rejecting H_0. d. A decreased standard error and a decreed likelihood of H_0. A sample of n = 9 scores has = 72. What is the estimated standard error for the sample mean? a. 9 b. 3 c. 1 d. cannot answer without knowing the sample mean. A test with a sample of n = 25 participants produces at statistic of r = 2.53. Assuming a two-talked test. a. The researcher can reject the full hypothesis with a = .05 but not with a = .01. b. The researcher can reject the null hypothesis with either a = .05 but not with a = .01. c. The researcher must fail to reject the null hypothesis with either a = .05 or a = .01. A sample of n = 10 scones has M = 58, s^2 = 160, and an estimated standard error of 4 points. Which of these values will probably decrease if the sample size is increased to n = 1007 a. the value of the standard error, s_M. b. the value of s^2 c. None of the other choices is bluely to be changed very much by increasing n. d. the value of MExplanation / Answer
Solution :-
Q9) (D). The likelihood decreases and measure of effect size increases.
The higher the variance, the more likely it is that the data points in X are not correlated with the data points in Y. And remember the null hypothesis usually says that X is not correlated with Y. So to 'reject' the null hypothesis. So, the higher the variance, the more likely it is that the null hypothesis is correct and shouldn't be rejected.
Measures of effect are, how much is the change in Y explained by the change in X. So, as there is high variance, there will be low correlation, and low R².
Q10) C. If a sample consists of n = 15 individuals, df value will be 14.
df is the degree of freedom, which is given as n - 1,
therefore, 15 - 1 = 14.
Q11) C. As sample size increases, standard error decreases and likelihood of rejecting H0 decreases.
Q12) C. 1
The standard error of the mean can be estimated by the square root of SS over N.
SE = sqrt(SS) / N = sqrt(72) / 9 1
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