A medical researcher wants to determine if the average hospital
stay after a certain procedure is greater than 12.41 days. The
hypotheses for this scenario are as follows: Null Hypothesis: μ ≤
12.41, Alternative Hypothesis: μ > 12.41. If the researcher
randomly samples 22 patients that underwent the procedure and
determines their average hospital stay was 14.93 days with a
standard deviation of 6.108 days, what is the test statistic and
p-value of this test?
Question 2 options:
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1)
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Test Statistic: -1.935, P-Value: 0.9667 |
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2)
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Test Statistic: 1.935, P-Value: 0.0666 |
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3)
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Test Statistic: 1.935, P-Value: 0.0333 |
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4)
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Test Statistic: 1.935, P-Value: 0.9667 |
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5)
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Test Statistic: -1.935, P-Value: 0.0333 |
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Question 3 (1 point)
Consumers Energy states that the average electric bill across
the state is $69.304. You want to test the claim that the average
bill amount is actually greater than $69.304. The hypotheses for
this situation are as follows: Null Hypothesis: μ ≤ 69.304,
Alternative Hypothesis: μ > 69.304. A random sample of 46
customer's bills shows an average cost of $69.912 with a standard
deviation of $7.2687. What is the test statistic and p-value for
this test?
Question 3 options:
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1)
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Test Statistic: 0.567, P-Value: 0.2867 |
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2)
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Test Statistic: 0.567, P-Value: 0.7133 |
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3)
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Test Statistic: 0.567, P-Value: 0.5734 |
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4)
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Test Statistic: -0.567, P-Value: 0.2867 |
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5)
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Test Statistic: -0.567, P-Value: 0.7133 |
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