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A study of long-distance phone calls made from the corporate offices of General Electric revealed the length of the calls, in minutes, follows the normal probability distribution. The mean length of time per call was 5.2 minutes and the standard deviation was 0.70 minutes. What fraction of the calls last between 5.2 and 6 minutes? fraction more than 6 minutes? fracion between 6 and 7 minutes? between 5 and 7 minutes?
How many waiters and busboys should report for work at the start of each time period to minimize the total staff required for one day's operation.
At 5% level of significance, is there evidence of difference in mean life of bulbs made by the 2 kinds of machines. What is your conclusion?
In a sample of 14 of the bowling balls the sample standard deviation was found to be 0.52 pounds. Construct a 95% confidence interval for the variance of the bowling ball weight.
A standard deviation of five minuts. Assuming the call times are normally distributed, what percentage of calls are longer than 35 minutes.
If a random sample of 10 people found that 9 were pro-life (i.e., 90%), while another random sample of 1000 people from the same population found that 550 were pro-life (i.e. 55%), which would you find to be more significant? Why?
Psychologists once measured 77 variables on a sample of schizophrenic people and a sample of people who were not schizophrenic. They compared the two samples using 77 separate significance tests.
What is the expected value of the sampling distribution model for the proportion of 480 freshmen that will return to the same school for their sophomore year?
Why can not we just do several two sample tests like we did in the last week. In your own words explain briefly also tell us what these are and what did it mean.
At all times, the urn comprises N balls-some white balls and some black balls. At each stage, coin having probability p, 0
Describe whether the data appear to be approximately normally distrusted by .. a. Comparing data characteristics to theoretical properties.
The level of significance is quantitatively defined as ? and the statistical power of a test is quantitatively defined as 1-?
Based on p=.60, probability that a randomly selected homeowners will say no to newspaper subscription.
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