Reference no: EM13243369
Question 1
A business researcher wants to compare her observed distribution of frequency data to an expected distribution of data using the chi-square goodness-of-fit test. The data are given below. The observed chi-square value for this test is:
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observed
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expected
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|
12
|
9
|
|
20
|
7
|
|
38
|
32
|
|
24
|
38
|
|
18
|
20
|
|
11
|
7
|
|
A
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34.73
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B
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41.46
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C
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47.63
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D
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33.9
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Question 2
A researcher wants to test the following observed distribution of values to determine if the values are uniformly distributed. The researcher is using the chi-square goodness-of-fit test for this analysis.
213, 219, 209, 210, 216, 199, 217, 213
For α = .10, the researcher's decision is to:
|
A
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reject the null hypothesis that the observed distribution is not uniform.
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B
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fail to reject the null hypothesis that the observed distribution is not uniform.
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C
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reject the null hypothesis that the observed distribution is uniform.
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D
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fail to reject the null hypothesis that the observed distribution is uniform.
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Question 3
The following percentages come from a national survey of the ages of prerecorded-music shoppers. A local survey produced the observed values. Does the evidence in the observed data indicate that we should reject the national survey distribution for local prerecorded-music shoppers? Use
Find the observed value of chi-square. Round the answer to 2 decimal places.
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Age
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Precent from Survey
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fo
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10-14
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9
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22
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15-19
|
23
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50
|
|
20-24
|
22
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43
|
|
25-29
|
14
|
29
|
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30-34
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10
|
19
|
|
≤ 35
|
22
|
49
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The observed x (squared) =
There is
a) enough
b) not enough evidence to declare that the distribution of observed frequencies is different from the distribution of expected frequencies.
The tolerance is +/- 0.05.
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What frequency will the fuse burn out
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