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Q1) For Normal distribution X~N(3, 4). Use SPSS to make a normal probability table. In first column, input numbers from -6 to +12 in increment of 0.5, then compute cumulative probabilities for these numbers in second column. Then create a histogram illustrating data distribution. Using generated Normal probability table, determine probability of Pr(X<=5).
What is the probability you pick a plum and Which of the following is a legitimate probability distribution for this situation
The Wilcoxon signed rank test is computed for the data and gives a value W + = 161.5. Using the Normal approximation (without the continuity correction) the P-value.
What is the chance that stock will fall by more than 15% next month? What extra assumption are you making when replying this question?
Compute β-error of test in part (a) if true difference in mean burning rate is 2.5 centimeters per second.
Construct the 90% and 95% interval estimates for the population mean weekly sales.
Be sure the appropriate assumptions and conditions are satisfied before you proceed.
Obtain the simple linear regression equation, then analyze the residuals by (a) constructing a histogram
For the data giben below, prepare a R-chart. Note that the sample size is three.
Let x be average number of employees in group health insurance plan and y be average administrative cost as percentage of claims. Determine sample correlation coefficient.
Find out optimal decision
Give three logically possible directions of casualty, indicating for each direction whether it is a reasonable explanation for the correlation in light of the variables involved (and why).
Develop three regression models to predict the selling price based upon each of the other factors individually. Which of these is best?
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