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Mean life of electric bulbs produced by a company is 1500 hours with a standard deviation of 300 hours. Assuming that the life of bulbs follow Normal distribution, what is the probability that a randomly selected bulb will:
i) Fail within 1200 hours?
ii) Survive between 1350 and 1650 hours?
iii) Survive beyond 1950 hours?
9. Write short notes on Normal distribution
A clothing retailer wishes to investigate the relationship between order size (in dollars) and the level of satisfaction of the customer.
Suppose the waiting time at a restaurant is normally distributed with a mean of 12 minutes and a standard deviation of 6 minutes.
Using symbols state hypotheses (H 0 and H 1 ) for two-tailed test. Sketch suitable distribution and locate critical region for a = 0.05.
Find the probability of type I error if exactly 60% of the voters favor the use of these fuels. What is the type II error probability if 75% of the voters favor this action?
A study on body types gave the following results: 45% were short; 25% were short and overweight; and 24% were tall and not overweight.
Estimated sales resulting from a $15,000 investment in inventory and an advertising budget of $10,000. Interpret b1 and b2 in this estimated regression equation.
Suppose 10 smokers are randomly selected and the number of smokers who started to smoke before the age of 18 is recorded. a) explain why this is binomial experiment.
What four steps should be used in evaluating expressions? Could these steps be skipped or rearranged? Explain your answersr.
What are the inequalites that define the region in the first quadrant. How about 2nd, 3rd and 4th quadrants?
The mean life of a battery used in a digital clock is 305 days. The lives of the battery follow normal distribution. The battery was recently modified to last longer. A sample of 20 of the modified batteries had a mean life of 311 days with a stan..
Several questions will be asked but the main outcome measure of interest will be the percentage of customers who were completely satisfied and plan to return and the average amount spent.
What are three lessons learned relative ANOVA and Nonparametric tests? What concepts and analytic tools will you be able to use in your workplace ?
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