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A new light bulb is being considered for use in an office with computers. It is decided that the new bulb will only be used if it has a mean lifetime of more than 500 hours. A random sample of 40 bulbs is selected and placed on life test. The mean and standard deviation are found to be 505 hours and 18 hours, respectively. Perform the appropriate test of hypothesis to determine whether the new bulb should be used. Use a 0.01 level of significance.
A. 0 tailedB. 2 tailedC. 1 tailed leftD. 1 tailed righ
question suppose that the price of stock a is aed 25 and its standard deviation is 5. the average market price for all
it has been reported that 80 of all email received is junk mail. each morning a computer user turns on his computer and
A professor needs to select a volunteer for a project .which of the following would not be an example of a simple random sample ?A)he chooses a number between 00 and 99.
One-way random effects model : yi j = + i + i j , i j "s are independent error terms with N(0, 2 ), i are independent N(0, 2 ), And i and i j are independent Why?
two dice are tossed. let a be the event that the sum is 7. let b be the event that first die is 6. let c be the event
tree diagram for a probability experiment.identify the sample space of the probability experiment and determine the
Why is expectation important? Explain what the expected value of an experiment or a business represents. What does it mean to have an expected value of 0? Provide an example of expectation and the use of the formula for expected value.
multiple choice questions based on multiple regression.1. a regression model between sales y in 1000 unit price x1 in
if you are using the method of least squares for fitting trends in an annual time series containing 25 consecutive
a study is conducted to compare mean cholesterol levels for individuals following a low carbohydrate diet for at least
Check that the formula (1) holds when X Unif(0, b). Formula (1) also works for b = 1. Check this when X is an Exponential RV with PDF f(x) = e-x for x 0.
Assume a mean wage of $1,000 and standard deviation of $100. What's the probability of finding an employee with a wage of between $790 and $1000?
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