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[DOC File]Chapter 7 Part II Hypothesis Testing
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8.3 The t Test. The t test is a statistical test of the mean of a population and is used when the population is normally or approximately normally distributed, ( is unknown, and the sample size is less than 30. The formula for the t test is: The degrees of freedom are d.f. = n–1. Example 1: Find the critical t …
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[DOC File]Test of Significance (Hypothesis Tests) Notes
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Level of Significance: Statistically Significant: ( If p-value < (, ( If p-value > (, Golden Rules of p-Values: At an ( level of .05, would you reject or fail to reject the H0? a) .03 b) .15. c) .45 d) .023. Calculating p-Values: For a z-test: For a t-test: Draw & shade a curve, and calculate the p-value: 1) right-tail test ( …
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[DOC File]Example SPSS Output for T-Test for Difference in Means
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To interpret the t-test results, all you need to find on the output is the p-value for the test. To do an hypothesis test at a specific alpha (significance) level, just compare the p-value on the output (labeled as a “Sig.” value on the SPSS output) to the chosen alpha level.
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[DOC File]HYPOTHESIS TESTING: AN EXAMPLE
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Step 3. Compute the appropriate statistical test. Memory after taking Memory Booster (X) Deviation. Squared Deviation () 2 8 8. 0 0 9 8. 1 1 6 8-2 4 8 8. 0 0 9 8. 1 1 8 8. 0 0 7 8-1 1 9 8. 1 1 ∑X = 64. N= 8 SS = ∑ 2 = 8 = 8. Step 4. Make a decision. Determine whether the value of the test statistic is in the critical region. Draw a picture.
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[DOC File]2-sample t-test
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Step 3: test statistic -0.45 (So we . cannot. use the normal table) Step 4: p-value = 0.694. Step 5: conclusion: Since p-value > the significance level, we don’t reject Summary of the testing procedure for two population means: Hypotheses. vs. (lower-tail test) (upper-tail test) (two-sided test) Significance level. Test statistic. With df = P ...
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[DOC File]SPSS & Hypothesis Testing
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Thus the mean cholesterol level is not significantly greater than 190. PAIRED T-TEST: The most common use of the paired t-test is the comparison of two measurements (typically one measurement occurs before a "treatment" and the other after the "treatment") from the same individual or group.
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T test level of significance