One sample z test example
[DOC File]Hypothesis Testing
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This example illustrates the fact that the t test is not quite as powerful as the Z test, all other things being equal. Confidence Interval on the Population mean. 1. Compute the point estimate. In this case, that's the sample mean, 29,640. 2. Decide on the level of confidence desired. How about 95%. 3.
[DOCX File]Hypothesis Testing
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A hypothesis test involves a process of making statement(s) (i.e. hypotheses) about the parameter(s) of one or more populations and the use of statistical theory and techniques to judge the validity of the statement(s). It enables us to draw conclusions or make decisions regarding a population parameter from a sample statistic.
[DOC File]Chapter 3: Describing Relationships (first spread)
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Using technology, z = –3.339 and P-value = 0.0008. The P-value is exactly the same as the P-value from the chi-square test and . [Page 713] Alternate Example: Allergies. In an Alternate Example from chapter 5, we investigated the relationship between gender and having allergies for a random sample of 40 students who completed a CensusAtSchool ...
[DOC File]Z-Score Practice Worksheet
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A score that is 20 points above the mean. z=2. A score that is 10 points below the mean. z=-1. A score that is 15 points above the mean z=1.5. A score that is 30 points below the mean. z=-3. The Welcher Adult Intelligence Test Scale is composed of a number of subtests. On one subtest, the raw scores have a mean of 35 and a standard deviation of 6.
[DOC File]ST 361 Normal Distribution
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One-sample problem: Testing for a Population mean . Assume population SD is known: use a z test statistic. Assume population SD is not known: use a t test statistic. Two-sample problem: : Testing for 2 population means . A Special Case: the Paired t test-----One-sample problem: Testing for a Population mean : Need ~Normal !!! A Working Example:
[DOC File]Assuming population data are normally distributed: we have ...
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The sample standard deviation is either given along with or can be calculated using the TI calculator or Minitab. Both the z-test and t-test require the assumption that the population data are normally distributed. If ), then is always true. However, if we do not know we say: If ), then . Example…
[DOC File]Thursday, January 13: Chapter 7 Review
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Plan: We should use a one-sample z interval for p if the conditions are met. Random: The 50 locations are a random sample of all possible locations on the globe. 10%: We do not need to check the 10% condition because the locations were not selected without replacement. Large Counts: = 33 10 and = 17 10. Do: == 0.66 0.131 = (0.529, 0.791).
[DOC File]2-sample t-test
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One-sample problem: Testing for a Population mean . Assume population SD is known: use a . z. test . Assume population SD is not known: use a t test . Two-sample problem: : Testing for 2 population means . A Special Case: the Paired t test-----TWO-sample problem: Testing for 2 population means . Motivating Example
[DOC File]AP Stats Chapter 11 Notes: Significance Tests
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Test Statistic: The one sample z statistic is. P-Value: Step 4: Interpretation. Failing to find evidence against H0 means only that the data are consistent with H0 not that we have clear evidence that H0 is true. The medical director in the example institutes a health promotion campaign to encourage employees to exercise more and eat healthier ...
[DOC File]Power and Sample Size Calculation - Purdue University
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An example is shown below using the CSS mentioned above and assuming a one-way ANOVA design is used. We also assume that the standard deviation is 20 and the alpha is 0.05. We want to find out the corresponding sample size for each power level ranging from 0.8 to 0.99 at 0.01 intervals.
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