Unit 6: Inference for Categorical Data: Proportions

/ Unit 6: Inference for Categorical Data: Proportions

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You’ll learn inference procedures for proportions of a categorical variable, building a foundation of understanding of statistical inference, a concept you’ll continue to explore throughout the course.

Question Difficulty:

Question	Difficulty	Students Solved
Pooled Proportion Calculation Error	easy	5
Critical Value For Confidence Interval	easy	6
Definite Integrals and Area	hard	6
Hypothesis Test For Two Proportions	easy	6
Pooled Sample Proportion Formula	easy	4
Factors Affecting Type II Error	medium	4
Standard Error of a Sample Proportion	easy	4
Confidence Interval and Causation	medium	5
Interpreting a Confidence Interval	medium	7
Standard Error for Difference in Proportions	medium	7
Large Counts Condition For Proportions	easy	3
Confidence Interval Interpretation	easy	2
Ordering Critical Z-Values	easy	5
Significance Level in Hypothesis Testing	easy	4
T-Interval For A Population Mean	easy	3
Relationship Between Type I and Type II Errors	medium	3
P-Value Interpretation	medium	1
Null Hypothesis for Comparing Two Proportions	easy	2
Hypothesis Test Conclusion for a Proportion	easy	2
Sample Size and Confidence Interval Width	medium	2

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Unit Leaderboard

Rank	User	Correct Count	Attempt Count	Time	Score
#1	cynthiayihan34	30	33	0m 00s	2,970
#2	h62018675	29	39	0m 00s	2,800
#3	satyaachanti1710	13	13	0m 00s	1,300
#4	siyeonkim4837	8	10	0m 00s	780
#5	seowooya	7	9	0m 00s	680
#6	tyanyekaterina567	7	9	0m 05s	675
#7	neverknews.hk	6	7	0m 00s	590
#8	dobaonam8386	6	7	0m 42s	548
#9	carlyrusnak49	5	5	0m 00s	500
#10	richakothapalli	5	5	0m 00s	500

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