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The trend line y = 0.70 + 0.005t was calculated from quarterly data for 1999 -2003, where t = 1 for the first quarter of 1999. The seasonal indexes computed from the trend line for the four quarters of the year 2004 were .85, 1.05, 1.15, and .80, respectively. The seasonalized forecast for the third quarter of the year 2004 is ??
Briefly state the evaluation criteria for using a computed regression equation; specifically, comment on the coefficient of determination, correlation coefficient, and standard error of the estimate.
Suppose today's sample yielded a mean of $4.19 and a standard deviation of $0.10, create and interpret a 99% confidence interval for the population standard deviation. Assume the distribution of gas prices in the area follows a normal distribution..
At a 5% level of significance, is there enough evidence from this survey to conclude that more than half of all adults would rather have $100 than a day off?
Pproportion who are sent to prison after pleading innocent and being found guilty? No, as the test value -1.96 is inside interval (-2.58, 2.58), No, as the test value -4.94 is outside interval (-1.96, 1.96).
The mean difference in total cholesterol levels (after - before) was 27.138 mg/dL with a standard deviation of 7.3685 mg/dL. Create a 95% confidence interval for the true average difference in cholesterol levels by the drug.
Binomial distribution to find out the mean also standard deviation. Variance and standard deviation of a lot of 300 calculators.
Both days have sample standard deviations of 3.4. Is the average mean of size different from day 1 to day 2?
Compare a tabular cum sum chart using standardized values h = 5 and k = 1/2. What is the information you learn.
Hits on a personal web site occur quite infrequently. They occur randomly and independently with an average of five per week.
In exercise identify (a) sample and (b) population. Also, find whether sample is likely to be representative of population.
Managers at Beta Technologies, Inc., have collected current annual salary figures and potentially related data for a random sample of 52 of the company's full-time employees.
Can we compute the mean length of stay of workers at the company differs from the mean length of stay at that dangerous industry.
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