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Question
A local pediatrician office is interested in the "˜no-show" appointment count for each of the 4 pediatricians. "˜No-show" appointments represent lost revenues because the physician will be idle when patients do not show for their scheduled appointments. Using the data in the table below and an alpha of .10, what is the appropriate decision?| Physician A | Physician B | Physician C | Physician D | |
| week 1 | 8 | 4 | 6 | 7 |
| week 2 | 7 | 3 | 4 | 6 |
| week 3 | 8 | 2 | 5 | 4 |
| week 4 | 8 | 6 | 7 | 9 |
| week 5 | 4 | 2 | 5 | 10 |
b) Reject the null hypothesis and conclude the no show rates differ by day of week
c) Fail to reject the null hypothesis and conclude there is not enough evidence to demonstrate the no show rate between physician is equal
d) Fail to reject the null hypothesis and conclude there is not enough evidence to show the no show rate between days of the week is equal
e) Reject the null hypothesis and conclude the no show rates are dependent upon both day of week and physician.
Answer
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Related questions
Q:
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a) fail to reject the null hypothesis
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d) increase the sample size
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Q:
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Q:
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Q:
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Q:
The mean square error (MSerr) is calculated by dividing the sum of squares error (SSerr) by the number of error degrees of freedom (dferr).
Q:
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0.292143
-0.48455
0.653331 x
0.105195
0.013231
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0.001356 Source
df
SS
MS
F Se = 0.237 Regression
1
3.550325
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4
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5
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Q:
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p-value Intercept
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0.292143
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0.653331 x
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7.950352
0.001356 Source
df
SS
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1
3.550325
3.550325
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4
0.224675
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5
3.775 Annie's sample size is __________.
a) 2
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d) 8
e) 10
Q:
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Standard Error
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-0.14156
0.292143
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0.105195
0.013231
7.950352
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df
SS
MS
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1
3.550325
3.550325
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4
0.224675
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5
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Q:
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Q:
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Q:
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Q:
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Q:
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a) between -1 and +1
b) between -1 and 0
c) between 0 and 1
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e) between -100 and +100
Q:
A standard deviation of the error of the regression model is called the _______.
a) coefficient of determination
b) sum of squares of error
c) standard error of the estimate
d) R-squared
e) coefficient of correlation
Q:
The following residuals plot indicates _______________. a) a nonlinear relation
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Q:
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Q:
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Q:
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a) reject the null hypothesis 12 = 22
b) reject the null hypothesis 12 < 22
c) do not reject the null hypothesis 12 = 22
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Q:
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a) reject the null hypothesis 12 = 22
b) reject the null hypothesis 12 < 22
c) do not reject the null hypothesis 12 = 22
d) do not reject the null hypothesis 12 < 22
e) do nothing
Q:
Collinsville Construction Company purchases steel rods for its projects. Based on previous tests, Claude Carter, Quality Assurance Manager, has recommended purchasing rods from Redding Rods, Inc. (population 1), rather than Stockton Steel (population 2), since Redding's rods had less variability in length. Recently, Stockton revised it rod shearing operation, and Claude has sampled the outputs from Redding's and Stockton's rod manufacturing processes. The results for Redding were s12= 0.10 with n1= 8, and, for Stockton, the results were s22= 0.05 with n2= 10. Assume that rod lengths are normally distributed in the population. If a= 0.05, the critical Fvalue is _____________.
a) 3.68
b) 3.29
c) 3.50
d) 3.79
e) 3.99
Q:
A random sample of 400 items from a population shows that 160 of the sample items possess a given characteristic. A random sample of 400 items from a second population resulted in 110 of the sample items possessing the characteristic. Using this data, a 99% confidence interval is constructed to estimate the difference in population proportions which possess the given characteristic. The resulting confidence interval is _______.
a) 0.06 to 0.19
b) 0.05 to 0.22
c) 0.09 to 0.16
d) 0.04 to 0.21
e) 0.05 to 0.23
Q:
A researcher is interested in estimating the difference in two population proportions. A sample of 400 from each population results in sample proportions of .61 and .64. A 90% confidence interval for the difference in the population proportions is _______.
a) -0.10 to 0.04
b) -0.09 to 0.03
c) -0.11 to 0.05
d) -0.07 to 0.01
e) -0.08 to 0.12
Q:
Maureen McIlvoy, owner and CEO of a mail order business for wind surfing equipment and supplies, is reviewing the order filling operations at her warehouses. Her goal is 100% of orders shipped within 24 hours. In previous years, neither warehouse has achieved the goal, but the East Coast Warehouse has consistently out-performed the West Coast Warehouse. Her staff randomly selected 200 orders from the West Coast Warehouse (population 1) and 400 orders from the East Coast Warehouse (population 2), and reports that 190 of the West Coast Orders were shipped within 24 hours, and the East Coast Warehouse shipped 372 orders within 24 hours. Assuming = 0.05, the appropriate decision is ___________________.a) do not reject the null hypothesis 1- 2= 0b) do not reject the null hypothesis p1- p2= 0c) reject the null hypothesis 1- 2= 0d) reject the null hypothesis p1- p2= 0e) do not reject the null hypothesis p1- p20
Q:
Maureen McIlvoy, owner and CEO of a mail order business for wind surfing equipment and supplies, is reviewing the order filling operations at her warehouses. Her goal is 100% of orders shipped within 24 hours. In previous years, neither warehouse has achieved the goal, but the East Coast Warehouse has consistently out-performed the West Coast Warehouse. Her staff randomly selected 200 orders from the West Coast Warehouse (population 1) and 400 orders from the East Coast Warehouse (population 2), and reports that 190 of the West Coast Orders were shipped within 24 hours, and the East Coast Warehouse shipped 372 orders within 24 hours. Assuming a= 0.05, the observed zvalue is ___________________.
a) -3.15
b) 2.42
c) 1.53
d) 0.95
e) 1.08