1) If a machine in a manufacturing process is not working correctly, company policy dictates that the machine must be stopped and serviced.
Ho: Machine is working correctly
HA: Machine is not working correctly
One day, the machine was left working but in fact it should have been stopped for a service. What type of error would this be?
Select one:
A) Type I
B) No error has been made.
C) Type II error
D) Type I and Type II error
2) You are given the following information:
Ho:μ=100Ho:μ=100
HA:μ>100HA:μ>100
x¯=120n=25s=16σunknown X Normal α=0.05x¯=120n=25s=16σunknown X Normal α=0.05
Which of the following is the correct critical value?
Select one:
A) 1.96
B)1.645
C) 1.708
D) 1.711
3) An analyst is researching the relationship between the daily sales revenue ($000’s) of a store and the number of hours the store is closed, the annual advertising expenditure ($) and the number of staff employed in the store. The Excel output is shown below.
Regression Statistics | ||||||
---|---|---|---|---|---|---|
Multiple R | 0.908 | |||||
R Square | 0.824 | |||||
Adjusted R Square | 0.772 | |||||
Standard Error | 2.230 | |||||
Observation | 14 | |||||
Coefficients | Standard error | t Stat | P-value | Lower 95% | Upper 95% | |
Intercept | 15.827 | 5.976 | 2.648 | 0.024 | 2.510 | 29.145 |
Hours closed | -1.505 | 0.695 | -2.162 | 0.055 | -3.055 | 0.045 |
Advertising | 0.073 | 0.030 | 2.452 | 0.034 | 0.003 | 0.140 |
Staff | 4.326 | 1.347 | 3.211 | 0.009 | 1.325 | 7.328 |
Which of the following is the best interpretation for the
coefficient of Hours closed?
Select one:
A) For each extra 1 hour the store is closed, daily sales revenue decreases by exactly $1,505.
B) None of these choices is correct.
C) Holding Advertising and Staff constant, for each extra 1 hour the store is closed, we estimate daily sales revenue decreases by $1,505, on average.
D) Holding Advertising and Staff constant, for each extra 1 hour the store is closed, we estimate daily sales revenue increases by $1,505, on average.
The solution to this problem is given by
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