Use the formula to calculate the 95% confidence interval for a sample of N = 22 with a mean = 9.51 and standard error of the mean = 1.25.

a. 95% CI = 9.51 ± 2.15
b. 95% CI = 9.51 ± 3.52
c. 95% CI = 9.51 ± 2.59
d. 95% CI = 9.51 ± 2.60


d. 95% CI = 9.51 ± 2.60

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a. A type of error that occurs when you do not have enough data to support the null and alternative hypothesis. b. A type of error that occurs when you accept that the alternative hypothesis is true but in actuality it is not. c. A type of error that occurs when you accept the null hypothesis as true, when in reality there was an effect. d. A type of error that occurs when you do not have enough alternative hypotheses.

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