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A manufacturer of lightbulbs advertises that, on average, its long-life bulb will last more than 5,000 hours. To test the claim, a statistician took a random sample of 100 bulbs and measured the amount of time until each bulb burned out. If we assume that the lifetime of this type of bulb has a standard deviation of 400 hours, can we conclude at the 5% significance level that the claim is true.
Use the traditional method to test the given hypothesis. Assume that the population is the normally distributed and that the sample has been randomly selected.
Describe the sampling distribution of the sample mean.
Illustrate what amount of sales would be required to be a super savings club member. Elucidate amount of sales would be required to be a gold club status.
Is global F ratio significant? Identify this F ratio, and describe whether it is important.Is coefficient for X1 (productivity) significant? How do you know? Mention its t value and accompanying P-value.
Make a scatter plot, illustrate the regression lines. Determine the correlation coefficient between husband’s and wife’s education for couples in which wife is employed full time?
what is the sample space of all possible outcomes? Are the outcomes equally likely?
A random sample of 50 households revealed a mean of $112,000 and a standard deviation of $40,000. What is the standard error of the mean?
Develop 3 regression models to forecast selling price based upon each of other factors individually. Which of these is best?
In the real world, given null hypothesis is false; but the collected data lead to the null hypothesis being accepted. That is, the data lead to a failure to reject null hypothesis.
If the sum of the squared deviations about the regression line is SSE = 40.0, what is the coefficient of determination?
Data analysis must be completed using a statistical software package - either Statistix for Windows, with the MegaStat add in, SPSS, SAS, R or any other legitimate software package.
The random variable x is known to be uniformly distributed between 70 and 90. The probability of x having a value between 80 to 95 is
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