SESSION:10 Hypothesis Testing with Two Samples
Bringing It Together: Homework

Session:10 Hypothesis Testing with Two Samples Bringing It Together: Homework Introductory Business Statistics | Leadership Development – Micro-Learning Session Rice University 2020 | Michael Laverty, Colorado State University Global Chris Littel, North Carolina State University| https://openstax.org/details/books/introductory-business-statistics Use the following information to answer the next ten exercises. indicate which of the following choices best identifies the hypothesis […]

SESSION:10 Hypothesis Testing with Two Samples
Homework

Session:10 Hypothesis Testing with Two Samples Homework Introductory Business Statistics | Leadership Development – Micro-Learning Session Rice University 2020 | Michael Laverty, Colorado State University Global Chris Littel, North Carolina State University| https://openstax.org/details/books/introductory-business-statistics 10.1 Comparing Two Independent Population Means 64.  The mean number of English courses taken in a two–year time period by male and female […]

SESSION:10 Hypothesis Testing with Two Samples
Practice

Session:10 Hypothesis Testing with Two Samples Practice Introductory Business Statistics | Leadership Development – Micro-Learning Session Rice University 2020 | Michael Laverty, Colorado State University Global Chris Littel, North Carolina State University| https://openstax.org/details/books/introductory-business-statistics 10.1 Comparing Two Independent Population Means Use the following information to answer the next 15 exercises: Indicate if the hypothesis test is for independent […]

SESSION:10 Hypothesis Testing with Two Samples
Formula Review

Session:10 Hypothesis Testing with Two Samples Formula Review Introductory Business Statistics | Leadership Development – Micro-Learning Session Rice University 2020 | Michael Laverty, Colorado State University Global Chris Littel, North Carolina State University| https://openstax.org/details/books/introductory-business-statistics 10.1 Comparing Two Independent Population Means Standard error: SE = (s1)2n1+(s2)2n2−−−−−−−−−√ (�1)2�1+(�2)2�2  Test statistic (t-score): tc = (x¯1−x¯2)−δ0(s1)2n1+(s2)2n2√ (�¯1−�¯2)−�0(�1)2�1+(�2)2�2  Degrees of freedom: df= ((s1)2n1+ (s2)2n2)2(1n1−1)((s1)2n1)2+(1n2−1)((s2)2n2)2 ��= ((�1)2�1+ (�2)2�2)2(1�1−1)((�1)2�1)2+(1�2−1)((�2)2�2)2  where: s1 �1 and s2 �2 are […]

SESSION:10 Hypothesis Testing with Two Samples
Chapter Review

Session:10 Hypothesis Testing with Two Samples Chapter Review Introductory Business Statistics | Leadership Development – Micro-Learning Session Rice University 2020 | Michael Laverty, Colorado State University Global Chris Littel, North Carolina State University| https://openstax.org/details/books/introductory-business-statistics 10.1 Comparing Two Independent Population Means Two population means from independent samples where the population standard deviations are not known Random Variable: X–1−X–2 […]

SESSION:10 Hypothesis Testing with Two Samples
Key Terms

Session:10 Hypothesis Testing with Two Samples Key Terms Introductory Business Statistics | Leadership Development – Micro-Learning Session Rice University 2020 | Michael Laverty, Colorado State University Global Chris Littel, North Carolina State University| https://openstax.org/details/books/introductory-business-statistics Cohen’s d a measure of effect size based on the differences between two means. If d is between 0 and 0.2 then the effect […]

SESSION:10 Hypothesis Testing with Two Samples
10.6 Matched or Paired Samples

Session:10 Hypothesis Testing with Two Samples 10.6 Matched or Paired Samples Introductory Business Statistics | Leadership Development – Micro-Learning Session Rice University 2020 | Michael Laverty, Colorado State University Global Chris Littel, North Carolina State University| https://openstax.org/details/books/introductory-business-statistics In most cases of economic or business data we have little or no control over the process of […]

SESSION:10 Hypothesis Testing with Two Samples
10.5 Two Population Means with Known Standard Deviations

Session:10 Hypothesis Testing with Two Samples 10.5 Two Population Means with Known Standard Deviations Introductory Business Statistics | Leadership Development – Micro-Learning Session Rice University 2020 | Michael Laverty, Colorado State University Global Chris Littel, North Carolina State University| https://openstax.org/details/books/introductory-business-statistics Even though this situation is not likely (knowing the population standard deviations is very unlikely), […]

SESSION:10 Hypothesis Testing with Two Samples
10.4 Comparing Two Independent Population Proportions

Session:10 Hypothesis Testing with Two Samples 10.4 Comparing Two Independent Population Proportions Introductory Business Statistics | Leadership Development – Micro-Learning Session Rice University 2020 | Michael Laverty, Colorado State University Global Chris Littel, North Carolina State University| https://openstax.org/details/books/introductory-business-statistics When conducting a hypothesis test that compares two independent population proportions, the following characteristics should be present: […]

SESSION:10 Hypothesis Testing with Two Samples
10.3 Test for Differences in Means: Assuming Equal Population Variances

Session:10 Hypothesis Testing with Two Samples 10.3 Test for Differences in Means: Assuming Equal Population Variances Introductory Business Statistics | Leadership Development – Micro-Learning Session Rice University 2020 | Michael Laverty, Colorado State University Global Chris Littel, North Carolina State University| https://openstax.org/details/books/introductory-business-statistics Typically we can never expect to know any of the population parameters, mean, […]