Question 1
A business researcher is testing the following hypotheses using a 10% level of significance.H0: p = .70Ha: p < .70 A sample of 415 is taken and the sample proportion is .66. The business researcher's decision from this test is:
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A
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fail to reject the null hypothesis.
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B
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not enough information to conduct the hypothesis test.
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C
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take a larger sample.
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D
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reject the null hypothesis.
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Question 2
A study by Hewitt Associates showed that 79% of companies offer employees flexible scheduling. Suppose a researcher believes that in accounting firms this figure is lower. The researcher randomly selects 415 accounting firms and through interviews determines that 303 of these firms have flexible scheduling. With a 1% level of significance, does the test show enough evidence to conclude that a significantly lower proportion of accounting firms offer employees flexible scheduling?
The value of the test statistic rounded to 2 decimal places is z =_______ and we
a) reject the null hypothesis
b) fail to reject the null hypothesis
The tolerance is +/- 0.05.
Question 3
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 degrees of freedom for this test are:
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observed
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expected
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12
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9
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20
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7
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38
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32
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24
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38
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18
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20
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11
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7
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