For the hypothesis tests based on the simulated variables sd10, sd50, and sd90 give the following. Identify the sample mean. Identify the sample standard deviation. Identify the standard error. Identify the t value. Identify the p-value - called Sig. (2-tailed) in SPSS. What effect does the change in standard deviation have on the standard error? How does the change in standard deviation affect the outcome of the hypothesis test?

Lab 12 - Simulated T-Test - Population is Diffeent than 45 (SD and n) One-Sample Statistics N Mean Sid. Deviation Std. Error Mean 3d10 100 50.8078 10.25257 1.02526 3050 100 52.0752 45.22548 1.52255 5090 100 47.1562 86.87046 8.68705 n10 10 38.9436 25.07016 7.92788 n100 100 52.3758 20.34647 2.03465 n1000 1000 50.3409 19.10664 60420 One-Sample Test Test Value = 45 95% Confidence Interval of the Significance Mean Difference One-Sided p Two-Sided p Difference Lower Upper 3010 5.665 4001 4001 5.80779 3.7735 7.8421 5050 1.564 160 121 7.07521 -1.8985 16.0489 3090 248 99 402 804 2.15618 -15.0809 19 3932 n10 - 764 9 232 464 -6.05643 -23.9905 118777 n100 3.625 59 4001 <.001 n1090 one-sample effect sizes confidence interval standardize point estimate lower upper ad10 cohen d hedges correction n10 ..865 . n100 .159 hadgas n1000 a. the denominator used in estimating sizes. uses sample standard deviation. deviation plus a factor>