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A student was asked to calculate mean and standard deviation for following sample of n _ 5 scores: 81, 87, 89, 86, and 87. To simplify arithmetic, student first subtracted 80 points from each score to get the new sample consisting of 1, 7, 9, 6, and 7. Mean and standard deviation for new sample were then computed to be M _ 6 and s _ 3. Write down the values of mean and standard deviation for original sample?
Find the difference between the actual Y value and predicted Y value for each individual, square the differences, and add the squared values to obtain SS residual.
A shock can cause the failure of component 1 alone with probability p, component 2 alone with probability q, both components with probability r, or have no effects with probability 1-p-q-r. Suppose no repairs are possible and the system fails when..
The Smoky Bear Trucking Company claims the average weight of a fully loaded moving van is 12,000 lb. The highway patrol decides to check this claim.
Although the two samples have an identica winning percentage,one is significant and the other is not. Explain why the two samples lead to different conclusions.
Rank the funds by using this alternative measure of risk. Which, if any outperformed the market on the risk-adjusted basis.
Develop a scatter diagram for the data and write a brief summary.
Use Chebyshev's theorem to find what percent of the values will fall between 162 and 292 for a data set with a mean of 227 and standard deviation of 13.
Utilizing form of Regression method which would give you highest performing model to forecast Sales. Utilizing your model forecast the sales
If Accrotime guarantees full refund on any defective watch for 2 years after purchase, determine percentage of total production will company expect to replace?
Use the above information to calculate the number of watches (units) and the sales dollars we need in order for our flea market business to break even for the day.
A doctor believes that the standard deviation of systolic blood pressure is 450. A random sample of 24 patients found a standard deviation of 520. Assume the variable is normally distributed and a = 0.01. What are the critical values?
He reviews the last eight months at dealership B and finds the standard deviation of the eight monthly sales to be 22.95. Using the .01 significance level does the analyst find evidence that the boast of dealership A is correct?
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