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The monthly sales volume (in thousands of dollars) for a manufacturer of snow skis is seasonal (there tend to be more skis sold during fall and winter months than during warmer months). The following table shows the monthly seasonal indexes for the company's sales:
JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC1.17 1.03 0.90 0.74 0.62 0.55 0.63 0.93 1.18 1.32 1.52 1.40
Using several years of sales data, beginning in May of 2001(i.e., t=1 corresponds to May of 2001), the manufacturer summarized that the trend line that describes the monthly sales (in thousands of dollars) has the form Tt =578+4T. Assuming that a multiplicative model can be used to describe the sales data, generate a forecast for the total dollar sales the company can expect to receive in August of 2006.
Express your answer in thousands of dollars.
Determine: SS(xy)Linear correlation coefficient, r. Bar graph below compares mean time in seconds for 7-yr old girls to complete certain task.
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Utilizing a binominal experiment, that is each trail can be reduced to two outcomes, construct a binomial distribution.
Determine 80% confidence interval for average weights of Allen's hummingbirds in study regions. Determine the margin of error?
A recent article suggested that if you earn $25,000 a year today and the inflation rate continues at 3 percent per year, you'll need to make $33,598 in 10 years to have the same buying power. You would need to make $44,771 if the inflation rate ju..
Test the hypothesis that the annual incomes of corporate trainers in areas of more than 500,000 are significantly more than those in areas of less than 100,000.
Morality Study for a group of four men, the probability distribution for the number x who live through the next year is as given in the accompanying table.
Determine the range and standard deviation of the times.
A random sample of 100 oranges is gathered and the mean diameter obtained was 5.12. If another sample of 100 is taken, what is the possibility that its sample mean will be greater than 5.12 inches.
Interpret values of b1, b2, b3 and b4 in this estimated regression equation.
Compute the relative frequencies and percentages for all classes. Draw a histogram and a polygon for the relative frequency distribution.
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