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X1=158 X2=157.4 n1=22 n2=26 s2/1=2.06 s2/2=2.59
Calculate the t-test statistic.
At significance level 0.05 what are the two-tailed values associated with each?
Would the null hypothesis be rejected?
Discuss, in relative terms, the sample size needed for an application of a normal distribution for the sample mean when sampling is from each of the following.
A major food manufacturer is concerned that the sales for its skinny french fries have been decreasing. As a part of a feasibility study, the company conducts.
Given this information we could use a Z test for two independent means and conclude that indeed the sales are different when the soup is a featured item.
An important subcomponent of a medical device produced by a manufacturing line is normally distributed with mean 70.2" and standard deviation is 1.26".
The average height of male physicians employed by a Veterans Affairs med- ical center is 180.18 cm with a standard deviation of 4.75 cm. Find the probability of obtaining a mean height of 184.93 cm or greater for a sample size of 5.
For each occupation, construct a 95% confidence interval for the proportion who feel a lot of stress
Twenty three coins are flipped. R is the event that at least twenty heads come up. Q is the event that the last nineteen flips all came up heads.
If you suppose returns follow normal distribution, which investment would give better chance of getting at least a $40MIL return and describe why.
Find a 95% confidence interval for the difference between the following two proportions:- the proportion of female customers who order during the evening.
In week one you were asked to read/watch the "slide share" show 99 Facts about the Future of Business. Then you were to create a list of five expectations that society has for business leaders from the slide show.
Measurements made on the internally compensated amplifiers listed below provide the dc gain and the frequency at which the gain has dropped by 20 dB. For each, what are the 3 dB and unity-gain frequencies?
"Men and the Frantic Life" reports on a study of 10,000 British workers done by the University College London, published in Prevention magazine.
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