QUESTION 1
AFTER IMPORTING THE DATASET AS ADATA, CHECK THE STRUCTURE. MAKE SURE ADMIT AND RANK ARE STORED AS FACTORS, INSTEAD OF NUMERIC OR INTEGERS. (HINT: USE AS.FACTOR() FUNCTION OR FACTOR() FUNCTION).
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{r q01}
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QUESTION 2
CONSTRUCT T-INTERVALS FOR THE GRE AND GPA DATA FOR ALL APPLICANTS AT 0.80 LEVEL AND 0.99 LEVEL.
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QUESTION 3
REPEAT THE SAME CALCULATION FOR GRE IN QUESTION 2 BUT FOR ADMITTED (1) AND REJECTED (0) SEPARATELY. (YOU CAN SUBSET THEM FIRST.) BETWEEN THE ADMITTED AND REJECTED, DOES THE TWO INTERVALS OVERLAP AT 0.80 LEVEL? AND AT 0.99 LEVEL?
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QUESTION 4
MAKE (BOX-) PLOTS SHOWING THE GRE DISTRIBUTION AMONG APPLICANTS FROM DIFFERENT SCHOOL RANKINGS FOR THE ADMITTED AND REJECTED SEPARATELY. PLEASE USE GGPLOT FOR THIS. THE X-VARIABLE SHOULD BE RANK, AND THE Y-VARIABLE SHOULD BE GRE.
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QUESTION 5
REPEAT QUESTION 3 FOR GPA. DO THE TWO GROUPS HAVE T-INTERVALS OVERLAP AT 0.80 LEVEL? AT 0.99 LEVEL?
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QUESTION 6
REPEAT QUESTION 4 FOR GPA. MAKE (BOX-) PLOTS SHOWING THE GPA DISTRIBUTION AMONG APPLICANTS FROM DIFFERENT SCHOOL RANKINGS FOR THE ADMITTED AND REJECTED SEPARATELY. AGAIN, USE GGPLOT.
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QUESTION 7
AS EDA FROM THE CHARTS AND THE T-INTERVAL CALCULATIONS YOU PRODUCED, DO YOU OBSERVE ANY POTENTIAL EFFECTS BETWEEN GRE/GPA/RANK ON ADMISSIONS? EXPLAIN BRIEFLY.
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