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This ACT math prep study guide review youtube video tutorial contains plenty of examples and practice problems with solutions to help you master the concepts that is commonly tested on the act. It contains tips and strategies to help you some common act math problems in algebra, geometry, and trigonometry. This video contains the formulas you need to answer very common questions. This video provides a basic overview of questions you might see on the actual test. If you need help, you came to the right place.
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This video explains how to find the correlation coefficient which describes the strength of the linear relationship between two variables x and y.
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This statistics video tutorial explains how to find the equation of the line that best fits the observed data using the least squares method of linear regression.
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This statistics video tutorial explains how to perform a hypothesis test of independence using the chi-square distribution.
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This statistics video tutorial provides a basic introduction of the chi square distribution test of a single variance or standard deviation. It explains how to use it in order to determine whether or not you reject the null hypothesis.
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This statistics video tutorial provides a basic introduction into the chi square test. It explains how to use the chi square distribution to perform a goodness of fit test to determine whether or not to accept or reject the null hypothesis.
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This Statistics video tutorial provides a basic introduction into matched or paired samples. It explains how to use the T-test and the student's t-distribution to determine whether or not if you should reject the null hypothesis in favor of the alternative hypothesis. It also explains how to construct a confidence interval and calculate the margin of error at a specified significance level.
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This statistics video tutorial covers hypothesis testing with two proportions. It provides an example problem that shows you how to determine if the difference between two proportions is significant using the z-test and the normal distribution curve.
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This statistics video tutorial explains how to calculate Cohen's d to determine if the size of the effect is small, medium, or large based on the differences between two sample means. This video also provides two ways to calculate the pooled standard deviation.
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This statistics video explains how to perform hypothesis testing with two sample means using the t-test with the student's t-distribution and the z-test with the normal distribution table.
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This statistics video tutorial explains how to solve hypothesis testing problems with proportions. It explains how to calculate the sample proportion and the z-test statistic and how to compare that with the critical values in order to determine whether or not if you should accept or reject the null hypothesis at a specified confidence level or significance level.
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This statistics video explains how to use the p-value to solve problems associated with hypothesis testing. When the p-value is less than alpha, you should reject the null hypothesis and vice versa. This video discusses when you should use a one tailed test compared to a two tailed test. It contains two example problems that illustrates how to use the p-value method to determine if you should reject or not reject the null hypothesis.
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This statistics video tutorial provides practice problems on hypothesis testing. It explains how to tell if you should accept or reject the null hypothesis. It gives two examples - one involving the z-test and the other involving the t-test or t-statistic. One of those examples include a one tailed test and the other contains an example of the two tailed test.
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This statistics video tutorial provides the formulas for calculating the test statistic for the population mean and population proportion. This includes the z-statistic and t-statistic.
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This statistics video tutorial explains when you should use a one tailed test vs a two tailed test when solving problems associated with hypothesis testing. It all depends on the statement associated with the alternative hypothesis. This video also discusses the critical values and significance level associated with hypothesis testing.