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Lily Energy Systems manufactures wood-burning heaters and fireplace inserts. One of its systems has an electric blower, which is thermostatically controlled. The blower is designed to automatically turn on when the temperature in the stove reaches 125 degrees F. and turn off at 85 degrees F. Complaints from customers indicate that the thermostat control is not working properly. The company feels that the thermostat is acceptable if the variance in the cutoff temperature is less than or equal to 175. The company takes a sample of 24 thermostats and finds that the variance equals 289. The calculated chi-square test statistic and the table value for a 0.05 significance level are:
Suppose that the thermometer readings are normally distributed with mean of 0° C and a standard deviation of 1.00° C. A thermometer is randomly selected and tested.
Find out the upper and lower bounds on average life expectancy of the Canadian women such that at least 90% of all population is included.
Multiple choice questions based on F-distribution.
In the Arnold's Muffler example for the exponential distribution, the average rate of service was given as 3 per hour, and the times were ex-pressed in hours.
Find the probability that 665 or fewer college students in the sample send and receive text messages with their phones? Is this result unusual?
Plot the data on the same line and give your impression regarding any apparent differences between the two companies.
What is an example of two variables that are likely to be correlated because they are both changing over time?
One measure of the overall sampling error in the entire distribution of sample means is the
What would be your best point estimate for average Sales in weeks for which Newspaper advertising were $1 million? What would be an appropriate interval estimate for this?
Assuming that a difference (Δ) of 2 lbs. in the mean was important to detect, a maximum Type I Error (α) level of 5%, and the desire to run a two-tailed test, then:
Construct a 99% confidence interval for the difference between the true average boot times of the two types of hard drives. Assume the difference will represent (HDD-SSD) and that the population standard deviations are statistically the same.
Perform a chi-square test on the following data:
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