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Twelve auto engine crankshafts measure:
224.120; 224.001; 224.017; 223.982; 223.989; 223. 961; 223.960; 224.089; 223.987; 223.976; 223.902; 223.980.
The dimension is supposed to be 224 mm and the variance is unknown for the manufacturing process. Is there evidence that the mean dimension is not 221 mm? Assume the population is normally distributed. Use a = 0.05 and the critical value value method.
what will be the standard deviation of the share price if it is assumed that there is a 95% probability that the value will be at least 64?
If the top 15% of the test scores are usually good enough for admission to law school, find the cut off score for gaining admission.
This requires you evaluate the data (on the next sheet) and apply Queueing Theory to determine the characteristics of the queues. Please refer to the concept on Queuing Theory for the procedures to do.
For the mold described in (g), can you find the probability that it's COST value will exceed $150,000? If yes, obtain this probability. If no, why not?
If is the proportion of the next 100 shoppers that buy a packet of the crackers after tasting a free sample, then the probability that fewer than 30% buy a packet after tasting a free sample is approximately.
Suppose you have the experiment of flipping a coin three times.
In this forum post provide your results also elucidate what they mean in context of your favorite channel. To find 95 percent confidence interval for given data.
Hours worked is important predictor of amount of sales.
Which two types of probability sampling are best suited for business research and statistical data analysis, and why?
We want to estimate the population mean within 5, with a 99% confidence level. The population std dev is estimated to be 15. How large is the required sample size?
Normal distribution of 5 pounds per square inch, standard deviation of 1.5 pounds per square inch, what proportion have less that 3.17 pounds per square inch, at least 3.6 pounds, are between 5 and 5.5 and 95% will be contained between what two va..
A study of 40 bowlers showed that there average score was 186 the standard deviation of the population is 6. Find the 95% confidence interval of the mean score for all bowlers.
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