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Let X equal the number of "ones" if a fair dice is tossed two independent times by someone out in the hall. If X=x that person gives the player a bowl consisting of 10-3x red chips and 3x white chips. The player then selects one chip at random from the bowl. What is the conditional probability that X=0 given that the chip is red? How does this compare to the prior probability P(X=0)?
ABC insurance sells term life insurance policies. If the plicy holder dies during the term of the policy ABC pays out $100000. If the person does not die ABC pays nothing and there is no further value to the policy.
He argues that the regression effect says people who perform very poorly in their previous job tend to perform well in their next job. Is this what the regression effect says? Explain.
It took a contractor 5000 hours to manufacture their first unit of an item. If the contractor expects to achieve a 94% unit learning curve, how many hours would be required to manufacture units 76-100?
Determine what analysis would you do on each problem (i.e., one-sample z-test, one-sample t-test, proportion test, two-sample independent t-test, or paired test)?
Determine the probability that none of the calculators will be defective?
Based on a scatter diagram, would you estimate the linear correlation coefficient to be:
Using least squares regression analysis, what would you estimate demand to be for each month next year?
Compute the grouped data mean for this distribution. Use MINITAB and using the original scores, compute the raw-data mean. Use MINITAB.
If random sample of 9 loads is selected for weight check, determine probability that mean weight of those loads is more than 40.60 tons.
Do these results suggest that the racial makeup of the faculty members is different from that of the students? (Use the .05 significance level.) Use the five steps of hypothesis testing and explain your findings.
Explain how many cars would required to go by the speed trap to be 99.8% sure which at least one driver will warm oncoming traffic of the speed trap.
What happens to the confidence interval when we go from a 95% confidence level to a 99% confidence level? Is this desirable? When would we want to use a 99% confidence interval?
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