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12 Cards in this Set

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If we use the X2 method of analysis to test for the differences among 4 proportions, the degrees of freedom are equal to
3
If we wish to determine whether there is evidence that the proportion of items of interest is the same in group 1 as in group 2, the appropriate test to use is
Both the Z test and the X2 test.
The squared difference between the observed and theoretical frequencies should be large if there is no significant difference between the proportions.
False
A test for whether one proportion is higher than the other can be performed using the chi-square distribution.
False
TABLE 12-4
A computer used by a 24-hour banking service is supposed to randomly assign each transaction to one of 5 memory locations. A check at the end of a day's transactions gave the counts shown in the table to each of the 5 memory locations, along with the number of reported errors.

REF QUIZ12 #5 Table 12-4


The bank manager wanted to test whether the proportion of errors in transactions assigned to each of the 5 memory locations differ.


Referring to Table 12-4, which test would be used to properly analyze the data in this experiment?
X2 test for difference among more than two proportions
TABLE 12-4
A computer used by a 24-hour banking service is supposed to randomly assign each transaction to one of 5 memory locations. A check at the end of a day's transactions gave the counts shown in the table to each of the 5 memory locations, along with the number of reported errors.

REF QUIZ12 #6 Table 12-4

The bank manager wanted to test whether the proportion of errors in transactions assigned to each of the 5 memory locations differ.


Referring to Table 12-4, the degrees of freedom of the test statistic is
4
TABLE 12-4
A computer used by a 24-hour banking service is supposed to randomly assign each transaction to one of 5 memory locations. A check at the end of a day's transactions gave the counts shown in the table to each of the 5 memory locations, along with the number of reported errors.
REF QUIZ12 #7 Table 12-4


The bank manager wanted to test whether the proportion of errors in transactions assigned to each of the 5 memory locations differ.


Referring to Table 12-4, the calculated value of the test statistic is
1.4999.
TABLE 12-4
A computer used by a 24-hour banking service is supposed to randomly assign each transaction to one of 5 memory locations. A check at the end of a day's transactions gave the counts shown in the table to each of the 5 memory locations, along with the number of reported errors.

REF QUIZ12 #8 Table 12-4

The bank manager wanted to test whether the proportion of errors in transactions assigned to each of the 5 memory locations differ.


Referring to Table 12-4, at 1% level of significance
there is insufficient evidence to conclude that the proportion of errors in transactions assigned to each of the 5 memory locations are not all the same.
TABLE 12-11

The director of admissions at a state college is interested in seeing if admissions status (admitted, waiting list, denied admission) at his college is independent of the type of community in which an applicant resides. He takes a sample of recent admissions decisions and forms the following table:

REF QUIZ12 #9 Table 12-11

He will use this table to do a chi-square test of independence with a level of significance of 0.01.


Referring to Table 12-11, the alternative hypothesis claims that "there is some connection between admission status at the college and the type of community in which an applicant resides."
True
The chi-square test of independence requires that the expected frequency in each cell to be at least 5.
False
TABLE 12-13

Recent studies have found that American children are more obese than in the past. The amount of time children spent watching television has received much of the blame. A survey of 100 ten-year-olds revealed the following with regards to weights and average number of hours a day spent watching television. We are interested in testing whether the mean number of hours spent watching TV and weights are independent at 1% level of significance.

REF QUIZ12 #11 Table 12-13


Referring to Table 12-13, if there is no connection between weights and average number of hours spent watching TV, we should expect how many children to be spending no more than 6 hours on average watching TV and are more than 10 lbs. underweight?
12
TABLE 12-13

Recent studies have found that American children are more obese than in the past. The amount of time children spent watching television has received much of the blame. A survey of 100 ten-year-olds revealed the following with regards to weights and average number of hours a day spent watching television. We are interested in testing whether the mean number of hours spent watching TV and weights are independent at 1% level of significance.

REF QUIZ12 #12 Table 12-13


Referring to Table 12-13, suppose the value of the test statistic was 30.00 (which is not the correct value) and the critical value at 1% level of significance was 10.00 (which is not the correct value), which of the following conclusions would be correct?
We will reject the null and conclude that mean number of hours spent watching TV and weights are not independent.