2 tailed t test
[DOC File]HYPOTHESIS TESTING: AN EXAMPLE
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At the end of the 4-week period, each individual takes a standardized memory test. In the general population, the standardized test is known to have a mean of μ = 7. Step 1. State your hypotheses. a. Is it a one-tailed or two-tailed test? Two-tailed . b. Hypotheses in words. Alternative hypothesis:
[DOC File]CHAPTER 8 INTRODUCTION TO HYPOTHESIS TESTING
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Upper-tailed test. Step 2 Determination of the test . The test to be used is a t-test, because the population variance is unknown and n
[DOC File]One Sample T-Test
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The t-test for Equality of Means yields a p-value of .089, which informs us that the mean difference of 19.1667in blood pressure between the two groups was not statistically significant at the two-tailed alpha = .05 level. We note that a larger sample size or a one-tailed test might/would give different results. Paired Samples T-Test.
[DOC File]Open the SPSS 16 - Wofford College
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To obtain the p value for a one-tailed tests, simply divide the p value of the two-tailed t-test by 2 (in this example 0.009/2) which results in a p value of 0.0045. Since 0.0045 is less than 0.05, you would conclude that the peak twitch tension developed in response to sciatic nerve stimulation was significantly greater that that evoked by ...
[DOC File]Two-tailed p values for the t-test
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Two-tailed p values for the Z-test. Each tabled entry is the probability of a Z as extreme as the column header if the null were true. 0.500 1.000 1.500 2.000 2.500 3.000 3.500 4.000 4.500 5.000 . 0.617 0.317 0.133 0.045 0.012 0.002 00000 00000 00000 00000 . Title: Two-tailed p values for the t-test ...
[DOC File]Example SPSS Output for T-Test for Difference in Means
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The t-test for the difference in means is an hypothesis test that tests the null hypothesis that the means for both groups are equal, versus the alternative hypothesis that the means are not equal (2-tail) or that the mean for one of the groups is larger than the mean for the other group (1-tail).
[DOC File]PRACTICE TEST #2 for MWF (SOLUTIONS)
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The p-value is the area to the right of t = 2.230 multiplied by 2 (since it is a 2-tailed test). 2.230 is between 2.088 and 2.374 on the df=80 row. So the area in one tail is between 1% and 2%.
[DOC File]Hypothesis Testing:
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Lower tailed test t ( -t(;n-1 Upper tailed test t ( t(;n-1 Two- tailed test t ( -t(/2;n-1 or t ( t(/2;n-1 100(1-()% confidence Intervals with the same assumptions, Example 10: The manager of a fleet of automobiles is testing two brands of radial tires. He assigns one tire of each brand at random to the two rear wheels of eight cars and runs the ...
[DOC File]Directional Hypothesess
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t > 2.064 ( = .01 t < -2.492 t > 2.492 t < -2.797. or. t > 2.797 Are you more likely to reject the null for a one-tailed test or a two-tailed test? How do you decide which one to do? Choosing between one- and two-tailed tests _____ By default, you should run a two-tailed test
[DOC File]Where We're At - John Uebersax
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Set up formulas, compute t-statistic (t-test of one mean, σ unknown, two-tailed test. Don't worry about the p-value (yet). Follow the procedure used in the sea otter pup example above. 2. 1- and 2-Tailed Hypothesis Tests
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