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Measures of Central Tendency
Measures of Central Tendency

Commentary on Distribution of Sample Means Class Notes
Commentary on Distribution of Sample Means Class Notes

Chapter 8
Chapter 8

... common rule of thumb is that n  30 is sufficient to use the formula as long as the distribution is approximately symmetric with no outliers. • Larger n may be needed to assume normality if you are sampling from a strongly skewed population or one with outliers. ...
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... page 9? How do you expect the Mean and Median to compare for this data? ...
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...  Range, variance, standard deviation (for both population and sample) Possible Short-Answer Topics:  Why is it important to study statistics?  How do we know when to use mean, median, or mode?  Describe the characteristics of correlational and experimental studies. ...
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... population parameter of interest, confidence intervals help to determine how well the sample statistic estimates the underlying population value.  The width of the confidence interval gives us some idea about how uncertain we are about the ...
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Scientific Investigation: Statistical Analysis

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Chapter 7 - faculty.arts.ubc.ca

Imagine you are a manager at a major bottling
Imagine you are a manager at a major bottling

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Imagine you are a manager at a major bottling company. Customers

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Lorma Colleges Edu2.0 Portal

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Chapter 7 Blank Notes

samplingandsamplesize.ppt
samplingandsamplesize.ppt

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... showing minutes after 12:00 as positive values and minutes before 12:00 as negative values are shown in the table below. Students ...
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Sampling, Statistics, Sample Size, Power

Hypothesis Testing
Hypothesis Testing

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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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