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Lecture 9
Lecture 9

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... 1. Select a research question from the General Social Survey. Go to the new GSS website. Open the catalog by clicking on the plus sign next to NORC Public Use Catalog, the click on the Plus sign next to GSS, then click on the icon next to General Social Survey 1972- 2006 and then variable descriptio ...
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... fied by its mean and standard deviation. For proportions, the sampling distribution is centered at the population proportion. For means, it's centered at the population mean. What else would we expect? \Alhat about the standard deviations, though? We noticed in our dice simulation that the histogram ...
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Chapter 7 Student Notes

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... details the intent-to-purchase scores from each of several groups of college students, with each group being questioned via a different method. Based on this information, the manager is able to perform a one-way, independent-samples ANOVA test of the hypothesis that the mean intent-to-purchase score ...
Inferences for a Single Population Mean
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... SE (estimate) which measures the discrepancy between the estimate from our sample and the hypothesized value under the null hypothesis. Intuitively, if our sample-based estimate is “far away” from the hypothesized value assuming the null hypothesis is true, we will reject the null hypothesis in favo ...
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1. Find the mean for the given sample data. Unless

993.0 007.0 000.1 )460.2 ( )568.4 ( )568.4 460.2
993.0 007.0 000.1 )460.2 ( )568.4 ( )568.4 460.2

Stats 156 * Calculator Stuff
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Student's t-test

A t-test is any statistical hypothesis test in which the test statistic follows a Student's t-distribution if the null hypothesis is supported. It can be used to determine if two sets of data are significantly different from each other, and is most commonly applied when the test statistic would follow a normal distribution if the value of a scaling term in the test statistic were known. When the scaling term is unknown and is replaced by an estimate based on the data, the test statistic (under certain conditions) follows a Student's t distribution.
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