You are conducting a study to see if the mean doctor's salary (in thousands of dollars) is significantly more than 89. A random sample of 25 doctors' salary in thousands of dollars is shown below. Test the claim using a 10% level of significance. Give answer to at least 4 decimal places.
Salary |
---|
101.92 |
98.09 |
83.69 |
91.38 |
85.25 |
101.42 |
95.04 |
92.04 |
88.78 |
87.62 |
91.69 |
95.96 |
85.73 |
85.03 |
98.07 |
92.53 |
92.25 |
94.99 |
87.8 |
79.93 |
86.72 |
83.56 |
86.01 |
89.64 |
88.14 |
What are the correct hypotheses?
H0:
thousand dollars
H1:
thousand dollars
Based on the hypotheses, find the following:
Test Statistic =
Critical-value =
Shade the sampling distribution curve with the correct critical value(s) and shade the critical regions. The arrows can only be dragged to t-scores that are accurate to 1 place after the decimal point (these values correspond to the tick marks on the horizontal axis). Select from the drop down menu to shade to the left, to the right, between or left and right of the t-score(s).
Shade:
. Click and drag the arrows to adjust the values.
-1.5
The correct decision is to
The correct summary would be:
that the population mean doctor's salary (in thousands of dollars) is significantly more than 89.
The statistical software output for this problem is:
Hence,
Ho: = 89
H1: > 89
Test statistic = 1.3322
Critical value = 1.3178
Decision: Reject Ho
Summary: There is sufficient evidence to support the claim that the population mean doctor's salary (in thousands of dollars) is significantly more than 89.
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