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At a certain university, the average cost of books per student was $330 per student last semsester. In a sample of 50 students this semester, their average cost was $355 with a standard deviation of $85. The Dean of Students believes that the costs are greater this semester. What is the test value for this hypothsis?
An assumption for a significance test of the correlation coefficient is that the populations, the variance of each variable is the same at each point of the other variable.
Compute the mode, median and mean for the college students and compute the mode, median and mean for the parents' data
Automobiles arrive at the drive-through window at a post office at the rate of 4 every 10 minutes. The average service time is 2 minutes. the Poisson distribution is appropriate for the arrival rate and service times are exponentially distributed.
Bicycle helmet use. Table lists data from a cross-sectional survey of bicycle safety. The explanatory variable is a measure of neighbourhood socioeconomic status (variable_RFM). The response variable is "percent of bicycle riders wearing a helmet"..
A random sample of n = 4 scores is selected from a population with µ = 80 and σ = 20. On average, how much difference would you expect between the sample mean and the population mean?
A multiple choice test has three questions with 5 possible answers (and oly one right answer each). You decide to randomly guess the right answer.
Digital camcorder repair service has set the goal not to exceed average of 5 working days from time unit is brought in to time repairs are completed. Compute the t-value.
Determine whether or not the mean waiting time of all customers is significantly more than 3 minutes.
Using the original data, test at the 5% significance level that the population standard deviation of studying times is greater than 4 hours.
The average family size was reported as 3.18. A random sample of families in a particular school district resulted in the following family sizes: 5 4 5 4 4 3 6 4 3 3 5 6 3 3 2 7 4 5 2 2 2 3 52
Suppose we have observations x1, x2, . . . , xn. Prove that the sum of deviations of the observations from their arithmetic mean is always equal to zero.
Why is it significant to be familiar with frequency distributions in the business world? Provide examples by using a distribution chart from a set of data.
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