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P. M. I. B.Wednesday, January 21, 201510:00 a.m.POOLED MONEY INVESTMENT Aristate Treasurers Office915 Capitol Mall, Room 587Sacramento, California 95814BOARD MEMBERSState Treasurer John ChiangState
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How to fill out perform a pooled t

01
To perform a pooled t-test, follow these steps:
02
Define your null and alternative hypotheses.
03
Collect your sample data from two different populations.
04
Calculate the mean and standard deviation for each sample.
05
Calculate the pooled standard deviation.
06
Calculate the t statistic using the formula: t = (mean1 - mean2) / (pooled standard deviation * √((1/n1) + (1/n2))).
07
Determine the degrees of freedom using the formula: df = n1 + n2 - 2.
08
Look up the critical value of t for your specified significance level and degrees of freedom.
09
Compare the calculated t statistic with the critical value to determine if the null hypothesis should be rejected or not.

Who needs perform a pooled t?

01
Performing a pooled t-test is beneficial for researchers, statisticians, and data analysts who want to compare the means of two samples from different populations.
02
It is commonly used in scientific studies, medical research, quality control analysis, and social sciences to determine if there are significant differences between two groups or treatments.
03
The pooled t-test is particularly useful when the variances of the two populations are assumed to be equal.
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Perform a pooled t is a statistical test that combines data from several independent studies in order to improve statistical power and draw more reliable conclusions.
Researchers or analysts conducting meta-analyses or combining data from multiple sources may be required to perform a pooled t test.
To fill out a perform a pooled t test, one must first collect and organize data from the independent studies, calculate the effect size and standard error for each study, then perform the statistical analysis.
The purpose of perform a pooled t is to increase the statistical power of the analysis by combining data from multiple sources, leading to more reliable and generalizable results.
The effect size, standard error, degrees of freedom, and significance level of the pooled t test must be reported in the analysis.
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