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Q1) An automotive repair shop has find out that average service thime on automobile is 2 hours with standard deviation of 32 minutes. A random sample of 64 services is selected. Determine the probability that sample of 64 will have mean service time greater than 114 minutes
Q2) Automotive repair shop has find out that average service time on automobile is 2 hours with standard deviation of 32 minutes. Random sample of 64 services is selected. Assume the population consists of 400 services. Find out the standard error of mean.
The mean number of passengers per flight is 160 with a standard deviation of 20. The aircraft used for the route has 200 seats.
Is there evidence of violations of the usual ANOVA assumptions of equal variances and normal populations? Set up and perform appropriate TESTS at the α = 0.05 level of significance.
The 'interaction effect' was also important. By using the means in the table above write a statement explaining how the anti-anxiety drug appears to affect anxiety. Are the outcomes consistent with the hypothesis proposed by the researchers?
Determine the best replacement policy over the next five years?
Let 3 trails (they may not be independent), each of which is either success or not. Let X denotes number of successes. Assume E[X] = 1.8. Determine the largest possible value of P(X=3)?
In a regression analysis involving 30 observations, the following estimated regression equation was obtained.
They were planted in four different locations, so we will consider the field as a second factor because different soil and moisture types can also have an effect on yield. The interaction plot below was obtained.
The data in the scatterplot below are an individual's weight and the time it takes (in seconds) on a treadmill to raise his or her pulse rate to 140 beats per minute. The o's correspond to females and the +'s to males.
Calculate the expected number of days it takes to get the order and standard deviation.
Construct a 95% confidence interval for the difference in the proportions of women and men who have regular exercise programs.
Test the hypothesis that no difference exists between the groups at α = .05 and perform and report all related tests and statistics.
On randomly selected day, let X and Y, respectively, be proportions of time that the drive-in and walk-in facilities are in use. Determine the marginal density of X.
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