degrees of freedom Archives

Explain the assumptions for using a t test for Independent means.rovide an example for when you could use a t Test for a Single Sample.Provide an example for when a Two-Sample t Test.

Posted on June 22, 2021 by Ambrose

One and two-sample t tests Description Respond to the following in a minimum of 175 words: Probability and Conventional levels of Significance Statistically Significant Not Statistically Significant t Test for a single sample (It is also called a one-sample t test.) Degrees of Freedom (and is abbreviated as df) T table (in our textbook, […]

Suppose you are interested in testing whether the mean earning of men in California differs significantly from the mean earning of men in New York. If the number of men from California in the sample is 123 and the number of men from New York in the sample is 88, how many degrees of freedom are there?

Posted on June 2, 2021June 2, 2021 by Ambrose

Answer the following question 1. Suppose you are interested in testing whether the mean earning of women in your random sample of women in North Carolina is representative of the earning of the entire North Carolina female population. The average female in the sample earned $31,607 in 2005 and the average female in the NC […]

If the test is a chi-square test of independence with a statistically significant result, report the effect size using Cramér’s V. Explain the meaning of the results in terms of the scenario.

Posted on January 21, 2021January 21, 2021 by Ambrose

In your paper, begin with a paragraph introducing the scenario and explaining why a chi-square test is needed for the situation. Then, address the following: Identify which chi-square test you used and which program or procedure you used for the analysis. Describe the procedure you used to calculate the chi-square. If using VassarStats (Links to an external […]

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Explain the assumptions for using a t test for Independent means.rovide an example for when you could use a t Test for a Single Sample.Provide an example for when a Two-Sample t Test.

If the test is a chi-square test of independence with a statistically significant result, report the effect size using Cramér’s V. Explain the meaning of the results in terms of the scenario.