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On the basis of past history, a car manufacturer knows that 10% (p = .10) of all newly made cars have an initial defect.
In a random sample of n = 100 recently made cars, 13% (P^ = .13) have defects. Find the value of the standardized statistic (z-score) for this sample proportion.
Compute a 95% confidence interval for the population mean, based on the sample 1, 2, 3, 4, 5, 6, and 30. Change the number from 30 to 10 and recalculate the confidence interval.
Should you use a two tailed test versus the one tailed test? If the hypothesis is non-directional and you predict a difference between the means but do not specify which mean will be higher a two tailed test should be used.
bob a manufacturing plant manager is inspecting the diameters of ball bearings produced by a suspected malfunctioning
What statistical conclusion about reliability (MTBF) we can draw from the statistical testing experiment above - without any faults detected (explain for example will the vendor be able to provide a 99.99999% warranty?)
If death occurs in the second year, insured will receive at time 2 only a return of the single premium paid without interest. Suppose q70 = 0.36, q71 = 0.40, and the interest rate is 100%. Find (a) the single premium, (b) 1V.
1.a forester wishes to predict the volume in cubic feet of usable lumber in a certain species of tree using the height
nbspcar size m3bodyyearyear9.941small cars2003less than 200510.251small cars1996less than 200510.699small
Construct the ANOVA table including the partition of the treatment sum of squares into main effects and interaction components b) Is there any evidence of interaction?
For all subsequent parts state the null and alternative hypothesis, write down the test statistics and their degrees of freedom, calculate the test statistics, find the p-values and give interpretations.
In this problem I am having an issue trying to determine what equation to use to solve. Is this a one or two way ANOVA or should I just use a z-test to solve?
consider a string of bernoulli trials with probability of success equal to p and let y1 be the number of trials untial
The data set labcomp .txt is the result of an "inter-lab" study where multiple labs, in this case each located at a different plant, participate in a study to compare measurements within and between the labs.
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