Statistics for Data Science and Business Analysis - Test for the Mean; Population Variance Unknown

Statistics for Data Science and Business Analysis - Test for the Mean; Population Variance Unknown

Assessment

Interactive Video

Information Technology (IT), Architecture, Mathematics

University

Hard

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The video tutorial covers hypothesis testing, focusing on a scenario where a marketing analyst estimates a competitor's email open rate. It explains the formulation of null and alternative hypotheses, the use of T-statistic for small samples, and decision-making based on T-score and P-value analysis. The tutorial concludes with a recommendation to practice exercises.

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2 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What conclusion can be drawn if the absolute value of the T score is lower than the critical value?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

Discuss the implications of the P value in relation to the significance level.

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