Since first year students reported at the University of Nairobi, a shop attendant at students hall of residence has noticed an increase in sales of fanta soda. As a statistician and market analyst, you would wish to know if there is relationship between soda preference and year level of study at the University of Nairobi. A random sample of 200 students was taken. Their year level and soda preference are given in the table. Soda/Year of study Fist Year Second Year Соса cola 33 57 Fanta 30 20 Spirit 5 35 Stoney 12 8 Based on this information and at 0.01 level of significance, what would be your conclusion Select one: O A. All the answers are correct B. Year of study and soda preference are indifferent C. We cannot tell from the given information D. Year of study and soda preference are related E. Year of study and soda preference are not related

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.4: Collecting Data
Problem 5E
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Since first year students reported at the University of Nairobi, a shop attendant at students hall of
residence has noticed an increase in sales of fanta soda. As a statistician and market analyst, you
would wish to know if there is relationship between soda preference and year level of study at the
University of Nairobi. A random sample of 200 students was taken. Their year level and soda
preference are given in the table.
Soda/Year of study
Fist Year
Second Year
Coca cola
33
57
Fanta
30
20
Spirit
5
35
Stoney
12
Based on this information and at 0.01 level of significance, what would be your conclusion
Select one:
A. All the answers are correct
B. Year of study and soda preference are indifferent
C. We cannot tell from the given information
D. Year of study and soda preference are related
E. Year of study and soda preference are not related
n co
Transcribed Image Text:Since first year students reported at the University of Nairobi, a shop attendant at students hall of residence has noticed an increase in sales of fanta soda. As a statistician and market analyst, you would wish to know if there is relationship between soda preference and year level of study at the University of Nairobi. A random sample of 200 students was taken. Their year level and soda preference are given in the table. Soda/Year of study Fist Year Second Year Coca cola 33 57 Fanta 30 20 Spirit 5 35 Stoney 12 Based on this information and at 0.01 level of significance, what would be your conclusion Select one: A. All the answers are correct B. Year of study and soda preference are indifferent C. We cannot tell from the given information D. Year of study and soda preference are related E. Year of study and soda preference are not related n co
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