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Forecast the number of deliveries using Exponential smoothing constant for different values and compare it.A hospital records the number of floral deliveries its patients receive each day. For a two week period, the records show
15, 27, 26, 24, 18, 21, 26, 19, 15, 28, 25, 26, 17, 23
a. use exponential smoothing with a smoothing constant of .4 to forecast the number of deliveries.
b. repeat using a smoothing constant of .5
c. compare the forecasts using MSE
Perform a contingency analysis on the data to determine if there is any dependency between the number of level of education attained by the father and the size of his family.
Provide a discussion that supports the assumption that the variance of savings increases with family income.
A committee of three is selected at random from a set consisting of five Democrats, eight Republicans, and two Independents.
What is the approximate estimated bootstrap standard error of the median, What is the approximate bias of the median estimated from bootstrapping - What is the bootstrap t confidence interval for the median
Could mud-wrestling be the cause of a rash contracted by University of Washington students in the spring of 1992? Two physicians at the University of Washington health center wondered this when one male and six female students complained of rashes..
What kind of statistical test best did you use?
Answer all of these questions using R Commander. Include all graphs, outputs from R Commander.
We are interested in testing to see if the variance of a population is less than 7. The correct null hypothesis is:
What was the critical F value chosen?
In order not to violate the requirements necessary to use the chi-square distribution, each expected frequency in a goodness of fit test must be:
If we fit the least-squares line to the 12 data points (one for each month) we obtain the following results from a software package. Notice that temperature is taken as the explanatory variable and crawling age as the response.
Conduct a marketing experiment in which students are to taste one of two different brands of soft drink
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