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Suppose we wanted to simulate the probability of observing at least 15 positive results and 5 negative results in a set of 20 results, when the probability of a positive result was claimed to be .75. Use a random number generator to simulate the running of 20 screening tests.
a. Let a two-digit number represent an individual running of the screening test. Which numbers represent a positive outcome of the screening test? Which numbers represent a negative outcome?
b. If we generate 2,000 sets of 20 two-digit numbers, how can the outcomes of this simulation be used to approximate the probability of obtaining at least 15 positive results in the 20 runnings of the screening test?
Let X denote the number of students that were on the bus carrying this randomly selected student. One of the 4 bus drivers is also randomly selected. Let Y denote the number of students on his bus. Compute the expectations of X and Y.
Taking α to be 0.05, what is/are the critical values associated with testing your hypothesis?
If you wish to estimate a population mean with a sampling distribution error SE = 0.28 using a 95% confidence interval and you know from prior sampling that sigma^2 is approximately equal to 5.4, how many observations would have to be included in ..
The lowess fitted value is 0.883. Thus the value of adj discussed on the previous slide is 0.883 for spots with A=7. How is the lowess curve determined?
the content of a particular constituent in two different brands of a drug measured in milligrams was found to be as
The average public elementary school has 450 students. assume the stand deviation of the distribution is 99. if a random sample of 36 public elementary schools is selected, find the probability that the number of students enrolled is between 445 a..
1. assume that the histogram of a data set is symmetric and bell shaped with a mean of 75 and standard
State the null hypothesis and alternative hypothesis. Indicate the type of test to be performed (left-tailed, right-tailed, or two tailed). Provide a statement in terms of the hypothesis testing process in this problem that would signify a Type I ..
Suppose that you have a sample mean of 49 and a standard deviation of 3, but now found those values from a sample of 20 observations. test the hypothesis allowing for type 1 error to equal .05.
The problem related to Basic Statistics and discuss about reliability vs validity in the area of research and it discusses the importance of these two
Assume a business researcherwishes to test hypothesis that greater proportion of marketing managers keep track of such obligations.
How could the engineer increase the accuracy of the interval without changing the level of confidence?
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