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Q1) Manager at a light bulb factory wishes to find out whether there is any difference in mean life expectancy of bulbs manufactured on two different kinds of machines. Population standard deviation of machine I is 100 hours and of machine II is 115 hours. Random sample of 30 light bulbs from machine I points out a sample mean of 375 hours, and similar sample of 30 from machine II points to sample mean of 362 hours. At 5% level of significance, is there evidence of difference in mean life of bulbs made by the 2 kinds of machines. What is your conclusion?
How variable is the number of service calls with which Sam's department must deal?
Conduct the hypothesis test and compute the p-value. At a 0.05 level of significance, what is your conclusion?
Assess the model fit for the multiple linear regression model using appropriate statistics and graphics.
A large tank of fish from a hatchery is being delivered to a lake. The hatchery claims that the mean length of fish in the tank is 15 inches, and the standard deviation is 2 inches. A random sample of 36 fish is taken from the tank.
What is the probability that two of absent students were girls.What is the probability that two of absent students were boys.
Based on this sample information, create a 90% confidence interval for population mean yearly premium.
Then describe trade-offs which will happen when you lower sample to $10,000 to meet their budget.
Formulate the hypotheses to test to see if the mean of the population is at least 12 ounces.
To avoid the problem of not having access to Tables of F distribution with values given for the lower tail, the numerator of the test statistic should be the one with:
Complete the test at the 5% level of significance.
Determine a 95% confidence interval for mean amount spent by all Internet shoppers.
Criterion of realism or Hurwitz. Assume that the payoff from an investment depends on market conditions. Illustrate what is the criterion of realism value.
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