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Let us show idea of sampling distribution in case of very small sample from very small population. Population is the scores of 10 students on exam:
Student 0 1 2 3 4 5 6 7 8 9Score 82 62 80 58 72 73 65 66 74 62
Parameter of interest is mean score in this population. Sample is an SRS of size n = 4 drawn from population.
a. Determine the mean of 10 scores in the population.
The probability of success for any trial of a binomial experiment is 25%. Find the probability that the proportion of successes in a sample of 500 is less that 22%. Repeat with a sample of 800. Repeat with a sample of 1,000.
According to a report produced by the New South Wales Ministry of Health, 46% of hospitalisations occur in people aged sixty years and over (60+).
This morning the office you are monitoring has eight office visits on the schedule. What is the probability that
A logistic regression model was used to assess the association between CVD and obesity. P is defined to be the probability that the people have CVD.
a) Draw the scatter diagram. Does it appear that x and y are related? If so, how? b) Test to determine whether there is evidence of a linear relationship.
They would like the margin of error of the 95% confidence interval for the proportion to be 0.05 or less. Use the guessed value p = 0.25 to find the required sample size.
Compute the skewness for your data set using Pearson's
Use the sales data given below determine: a) The least square trend line.
The data consists of random sample of 30 households from the 2007 American Community Survey. Construct a frequency distribution and a histogram for each data set.
He randomly selects a sample of 10 items of the procduct from a large lot ready to be shipped. He (given that) the true proportion of perfect condition items is only 80% what is the probability that the lot will not be shipped?
What is the probability she received 5 or more email during the same period?
What is the difference between expected value and mean? In other words, what would be difference between the expected value of something, as opposed to the mean of that something? And how do I know when I should be finding the expected value and n..
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