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Sample question:
The random variable x is the number of houses sold by a realtor in a single month at the real-estate office. Its probability distribution is:
Houses sold (x)
0
1
2
3
4
5
6
7
Probability P(x)
0.09
0.24
0.21
0.17
0.03
0.15
0.02
a. Compute the mean of the random variable.
b. Compute the standard deviation of the random variable.
Find the probability that the driver was intoxicated or the pedestrian was not intoxicated?
Using Sally's estimate of demand that follows, how many T-shirts should she produce for the upcoming event?
Would you conclude that your data set is approximately normal? If so, what percentage of your data values lie:
Find the value of q-hat from proportion and degrees of freedom used to find the t-score.
Assume that we will randomly select a sample of 64 measurements from a population having a mean equal to 20 and a standard deviation equal to 4.
A random sample of 15 customers is selected, and the results are as follows: 8.02 4.08 5.79 8.73 5.47 5.64 8.01 10.49 8.35 5.9 9.66 9.91 3.82 6.68 6.17 a) calculate arithmetic mean, median, mode, first quartile and third quartile.
When a sample mean is greater than the true, population mean, the resulting difference is called:
She believes that the number of customers served on weekdays follows a normal distribution. Construct an 99% confidence interval of the average number of customers served on weekdays.
Use the continuity correction and describe the region of normal curve that corresponds to the indicated binomial probability. The probability of more than 50 right answers.
Fifty raffle tickets are numbered 1 throughout 50, and one of them is drawn at random. What is the probability that the number is a multiple of 5 or 8? Consider the following "solution": Since 10 tickets bear numbers that are multiples of 5 and 6 ..
The following data provided by a coffee company are the roast time in minutes for five batches of coffee (x) and the resulting shrinkage in percent of the coffee weight(y).
The response time for Denver police to respond to emergency calls is 8.4 minutes with a standard deviation 1.7 find the probability that the response time for a call between 5 and 10 minutes.
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