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Astudy conducted at a college shows that 54% of the graduates find a job within 1 year of graduating. What is the probagbility that among 9 randomly selected graduates, at least 1 finds a job within 1 year.
A year ago, Air Force implemented new test for finding which candidates are most probable to become successful pilots. Now they wish to see if implementing pilot predictor test was a good idea. Scores have been standardized to facilitate comparis..
Is there reason to believe there is a positive linear correlation between the number of t.v. commercials and the sale of this product?
The lifetime of a certain brand of tire has a mean of 43,000 miles and a standard deviation of 6,000 miles. The lifetime distribution closely follows a normal distribution. What proportion of tires will last less than 50,000 miles?
What is the probability that more than one machine is in the system? Probability that more than two are broken and waiting to be repaired or being serviced? More than three? More than four?
A survey is being planned to determine the mean amount of time corporation executives watch television. A pilot survey indicated that the mean time per week is 20 hours, with a standard deviation of 5.5 hours
At the .05 significance level, is there a difference in gas mileage for the different types of gas? Write out your null and alternative hypotheses for the problem and state what the finding means practically.
Write down the probability of that the median of the sample or average medians is greater or more than 320 minutes?
A population of scores has m=50 and o=10. If 5 points are added to every score in the population, then the new mean and standard deviation would be:
State the quick rule for a significant correlation and explain its limitations. What sums are needed to calculate a correlation coefficient? What are the two ways of testing a correlation coefficient for significance?
How large should n be so that the standard deviation of is no more than 0.01 and sampling distribution
If you were to accept the null hypothesis, even though the null hypothesis was false, what type of error would you have commited?
How might variance and standard deviation be applied to a real-world business-related problem? Provide a specific application in which these measures are useful.
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