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Running a study comparing 3 different products on five different experimental visits. The same subjects are used for each visit and the same tests are carried out each time on all 3 products. What is the best way to radomise the presentation of the 3 products to try and reduce habituation?
There is an operator at the center who places 25 outgoing calls in a one-hour period. What is the probability that this operator will get live answers on 7 or more calls?
The gas price index for 1985 was 218.5 and the gas price index for 2000 was 276.8. If it cost $18.13 to fill your gas tank in 1985, how much would it have cost to fill the same tank in 2000?
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 met..
The average price of a personal computer is 949 assuming that the prices are normally distributed with a standard deviation of 100 what is the price that corresponds to the least expensive 10%.
The number of hours a light bulb burns before failing varies from bulb to bulb. The distribution of burnout times is strongly skewed to the right. The central limit theorem says that
Only 3 reported that their health was excellent. Find the probability that when 13 adults are randomly selected, 3 or fewer are in excellent health.
You want to create a 90% confidence interval for the true average number of yards per game he throws. What is the margin of error for this estimate?
Note that Σ x = 2233 and Σ x 2 = 138,053. At the 5% level of significance, can the instructor conclude that the new mean is different from 64?
Multiple choice questions based on regression - A regression and correlation analysis resulted in the following information
At the 0.05 level of significance, is there evidence that the mean amount in the bottles is different from 2.0 liters? Compute the ¬p-value and interpret its meaning.
Critically illustrate out the difference between a histogram and a dot plot. When might a dot plot be better than a histogram?
A random sample of 16 ages is drawn from the population, and we find the sample mean of these observations to be μ = 8.76
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