ACC 110 Lecture : Tutorial_3.pdf
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QUESTION 1
Lisa is a regional manager for a restaurant chain that haslocations in the towns of Berwick, Milton, and Leesburg. She wouldlike to investigate if a difference exists in the proportion ofcustomers who rate their experience as satisfactory or betterbetween the three locations. The following data represent thenumber of customers who indicated they were satisfied from randomsamples taken at each location.
Berwick | Milton | Leesburg | |
Number Satisfied | 80 | 85 | 60 |
Sample Size | 100 | 120 | 80 |
The expected frequency of satisfied customers from the Berwicksample is ________.
60 | ||
75 | ||
80 | ||
90 |
QUESTION 2
Lisa is a regional manager for a restaurant chain that haslocations in the towns of Berwick, Milton, and Leesburg. She wouldlike to investigate if a difference exists in the proportion ofcustomers who rate their experience as satisfactory or betterbetween the three locations. The following data represent thenumber of customers who indicated they were satisfied from randomsamples taken at each location.
Berwick | Milton | Leesburg | |
Number Satisfied | 80 | 85 | 60 |
Sample Size | 100 | 120 | 80 |
The expected frequency of satisfied customers from the Miltonsample is ________.
60 | ||
75 | ||
80 | ||
90 |
QUESTION 3
Lisa is a regional manager for a restaurant chain that haslocations in the towns of Berwick, Milton, and Leesburg. She wouldlike to investigate if a difference exists in the proportion ofcustomers who rate their experience as satisfactory or betterbetween the three locations. The following data represent thenumber of customers who indicated they were satisfied from randomsamples taken at each location.
Berwick | Milton | Leesburg | |
Number Satisfied | 80 | 85 | 60 |
Sample Size | 100 | 120 | 80 |
The expected frequency of satisfied customers from the Leesburgsample is ________.
60 | ||
75 | ||
80 | ||
90 |
QUESTION 4
Lisa is a regional manager for a restaurant chain that haslocations in the towns of Berwick, Milton, and Leesburg. She wouldlike to investigate if a difference exists in the proportion ofcustomers who rate their experience as satisfactory or betterbetween the three locations. The following data represent thenumber of customers who indicated they were satisfied from randomsamples taken at each location.
Berwick | Milton | Leesburg | |
Number Satisfied | 80 | 85 | 60 |
Sample Size | 100 | 120 | 80 |
The chi-square test statistic for these samples is ________.
1.49 | ||
2.44 | ||
4.15 | ||
5.33 |
QUESTION 5
Lisa is a regional manager for a restaurant chain that haslocations in the towns of Berwick, Milton, and Leesburg. She wouldlike to investigate if a difference exists in the proportion ofcustomers who rate their experience as satisfactory or betterbetween the three locations. The following data represent thenumber of customers who indicated they were satisfied from randomsamples taken at each location.
Berwick | Milton | Leesburg | |
Number Satisfied | 80 | 85 | 60 |
Sample Size | 100 | 120 | 80 |
The degrees of freedom for the chi-square critical value is________.
1 | ||
2 | ||
3 | ||
4 |
QUESTION 6
Lisa is a regional manager for a restaurant chain that haslocations in the towns of Berwick, Milton, and Leesburg. She wouldlike to investigate if a difference exists in the proportion ofcustomers who rate their experience as satisfactory or betterbetween the three locations. The following data represent thenumber of customers who indicated they were satisfied from randomsamples taken at each location.
Berwick | Milton | Leesburg | |
Number Satisfied | 80 | 85 | 60 |
Sample Size | 100 | 120 | 80 |
The chi-square critical value using ? = 0.05 is________.
2.706 | ||
3.841 | ||
5.991 | ||
7.815 |
QUESTION 7
Lisa is a regional manager for a restaurant chain that haslocations in the towns of Berwick, Milton, and Leesburg. She wouldlike to investigate if a difference exists in the proportion ofcustomers who rate their experience as satisfactory or betterbetween the three locations. The following data represent thenumber of customers who indicated they were satisfied from randomsamples taken at each location.
Berwick | Milton | Leesburg | |
Number Satisfied | 80 | 85 | 60 |
Sample Size | 100 | 120 | 80 |
Using ? = 0.05, the conclusion for this chi-square testwould be that because the test statistic is
More than the critical value, we can reject the null hypothesisand conclude that there is a difference in proportion of satisfiedcustomers between these three locations | ||
Less than the critical value, we can reject the null hypothesisand conclude that there is a difference in proportion of satisfiedcustomers between these three locations | ||
More than the critical value, we fail to reject the nullhypothesis and conclude that there is no difference in proportionof satisfied customers between these three locations | ||
Less than the critical value, we fail to reject the nullhypothesis and conclude that there is no difference in proportionof satisfied customers between these three locations |