P value from t test
[DOC File]SPSS & Hypothesis Testing
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This test is used primarily to determine if the "treatment" had a statistically significant effect. As in the case of the one-sample t-test, the primary statistic of concern is the p-value, and thankfully the p-value has the same interpretation here as it did in the case of the one-sample t-test. Exercise 2 . a) What is the mean for Triglycerides?
[DOCX File]AP Statistics - P-Value Worksheet
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HW 2: P-Value. 1.Explain below what is meant by a P-value: 2.State whether the null hypothesis should be rejected on the basis of the given P-value. P-value = 0.258, Author: Darrell D. Cline Created Date: 01/15/2016 06:06:00 Title: AP Statistics - P-Value Worksheet Last modified by:
[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.
[DOC File]Hypothesis Testing:
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T-Test of difference = 0 (vs not =): T-Value = 0.32 P-Value = 0.754 DF = 13. Test for equal true means in dependent samples. 95% CI for mean difference: (-211, 1948) 99% CI for mean difference: (-728, 2465) T-Test of mean difference = 0 (vs not = 0): T-Value = 1.90 P-Value = 0.099. Test for equal variances: B1 versus B2. F-Test (normal ...
[DOC File]สถิติและการวิเคราะห์ข้อมูลเบื้องต้น
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ในการทดสอบค่าเฉลี่ย สถิติที่ใช้ในการทดสอบมี Z - test t - test และ การวิเคราะห์ความแปรปรวน (ANOVA) ซึ่ง Z – test และ t - test ใช้ทดสอบกรณีมีกลุ่ม ...
[DOC File]1
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The t statistic for comparing the mean prices is 2.1. What can we say about the value of the P-value? A) P-value < 0.01 B) 0.01 < P-value < 0.05. C) 0.05 < P-value < 0.10 D) P-value > 0.10. 10. The primary difference between the times when a Z-test is appropriate and when a t-test is appropriate in testing Ho: m1 = m2 vs Ha: m1 m2 is based on ...
[DOC File]Interpreting SPSS Output for T-Tests and ANOVAs (F-Tests)
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Now in the output below, we can see the results for the T-test. Look at the enlarged numbers under the column that says “t” for the t-value, “df” for the degrees of freedom, and “Sig. (2-tailed) for the p-value. (Notice that the p-value of .539 is greater than our “.05” alpha level, so we fail to …
[DOC File]Hypothesis Testing in Excel
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The t-Stat is given. The p-values and critical values are given for one and two tailed tests. If these are small, the means are significantly different. That is, you can reject the null hypothesis of equality in favor of the alternative hypothesis that: the means are unequal, in the case of a two-tailed test . or
[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
[DOC File]CHAPTER 9—HYPOTHESIS TESTS
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a. State the null and the alternative hypotheses. b. Compute the test statistic. c. Using the p-value approach, test to determine whether or not the mean age of all employees is significantly more than 40 years. ANS: a. H0: 40 Ha: > 40 b. t = 2.5 c. p-value (.007518) is between .005 and .01; reject H0 PTS: 1 TOP: Hypothesis Tests 10.
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