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[DOCX File]G*Power: T Tests
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G*Power: t Tests. One Sample . t. Imagine that we are evaluating the effect of a putative memory enhancing drug. We have randomly sampled 25 people from a population known to be normally distributed with a . of 100 and a . of 15. We administer the drug, wait a reasonable time for it to take effect, and then test our subjects’ IQ.
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[DOC File]Example SPSS Output for T-Test for Difference in Means
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To see the results of the t-test for the difference in the two means, find the p-value for the test. The p-value is labeled as “Sig.” in the SPSS output (“Sig.” stands for significance level). To find the correct “Sig.”, look in the section of the “Independent Samples Test” output labeled “t-test …
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[DOCX File]Statistical Tests - Loudoun County Public Schools
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Calculate your t-value, Chi-Square, or Pearson R and record here: (Note: you will have different values for each of your experimental groups) STEP SIX. Deciding to Accept or Reject the Null Hypothesis. Use the tables for the t-test and the Chi-square test to find the . …
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[DOC File]Statistical Tests of Models That Include Intervening Variables
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For the traditional two-tailed .05 test, the critical value of the test statistic is that value which marks off the lower 2.5% of the sampling distribution and the upper 2.5% of the sampling ...
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[DOC File]HYPOTHESIS TESTING: AN EXAMPLE
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H0: Students who calculate statistics by hand do not differ from or are less able to select the appropriate statistical test than students who calculate stats using SPSS. c. Statistical hypotheses. HA: (hand - ( SPSS > 0. H0: (hand - ( SPSS < 0. Step 2. Set the significance level ( ( = .05 Determine tcrit. tcrit = +1.860. Step 3. Compute the ...
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[DOC File]Important Questions
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of your test statistic. df = (n1+n2) – 2. Step 6: Use sample statistics to calculate . observed value. of your test statistic. t = Step 7: Compare observed value with critical value: If test statistic falls in RR, we reject. the null. Otherwise, we fail to reject. the null. Step 8
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[DOC File]Power and Sample Size Calculation
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Factors that affect statistical power include the sample size, the specification of the parameter(s) in the null and alternative hypothesis, i.e. how far they are from each other, the precision or uncertainty the researcher allows for the study (generally the confidence or significance level) and the distribution of the parameter to be estimated.
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[DOC File]Population/sample NS1
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1. t-test for one Sample. 2. t-test for Dependent Samples. 3. t-test for Independent Samples . When a t-test is used to determine whether the two sample means of two independent samples come from the same population, we use the statistical test called the t-test for Independent Means. This is the most common t-test used in science.
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Hypothesis testing homework solutions
2.Calculate the observed significance level of the test. Go to Calculate/Test choose t-test for individual means and Ho: µ=.3, Ha:µ>0.3. The p-value is reported to be less than .0001 which is indeed super small. 3.Interpret the result in #2 in the context of the problem.
t test what is significant

[DOC File]Estimating the Sample Size Necessary to Have Enough Power
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Correlated Samples T. The correlated samples t test is mathematically equivalent to a one-sample t test conducted on the difference scores (for each subject, score under one condition less score under the other condition). One could, then, define effect size and required sample size as shown above for the one sample t.
statistically significant difference test

Calculate statistical significance t test