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Statistics for Data Science and Business Analysis - Test for the Mean; Independent Samples (Part 2)

Statistics for Data Science and Business Analysis - Test for the Mean; Independent Samples (Part 2)

Assessment

Interactive Video

Information Technology (IT), Architecture, Mathematics

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video tutorial covers hypothesis testing with independent samples and unknown but equal variances. It revisits a dataset comparing apple prices in New York and LA, setting up null and alternative hypotheses. The tutorial explains using pooled variance and calculating the standard error, followed by determining the T-statistic and degrees of freedom. It interprets the results, highlighting the significance of the P-value, and concludes with a discussion on the implications of the findings and further questions for exploration.

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2 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

Discuss the implications of a P value lower than 0.01 in this context.

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

Based on the mean values provided, what conclusion can be drawn about apple prices in New York compared to LA?

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