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Give an example representing a discrete probability distribution and a continuous probability distribution. Explain why your choice is discrete and continuous.
If 16 out of 20 spins just came up black, determine the probability that next spin is going to be red?
Assume that a sample is drawn and z(α/2) = 1.65 and σ = 35. Answer the following questions. (A) If the Maximum Error of Estimate is 0.04 for this sample, what would be the sample size?
Describe a Bernoulli experiment and give two examples. What is the connection between a Bernoulli experiment and a binomial distribution? Explain.
For a population with a mean of μ = 50 and a standard deviation of σ = 10, how much error, on average, would you expect between the sample mean (M) and population mean for:
Find out and interpret coefficients of correlation and determination for U. S. prices versus Canadian prices.
Calculate the 95% confidence interval for the rate of positive tuberculin reaction separately for each of the two subpopulation, those with high exposure and those with low exposure.
Set up null hypothesis for associated F test.
The average number of typos on one page of a manuscript is 8. What is the probability that 4 to 6 type appear on 2 pages of the manuscript? Imagine Poisson distribution.
Calculate the coefficient of determination, given that the linear correlation coefficient, r, is -0.625. What does this tell you about the explained variation and the unexplained variation of the data about the regression line?
A population of 1000 students spends an average of $10.50 a day on dinner. The standard deviation of the expenditure is $3. A simple random sample of 64 students is taken.
Assuming 250 of each sex, can we conclude that there is a significant difference in the proportions at a 0.05 level of significance?
One table has a standard deviation of $50 while the other has a standard deviation of $150. What conclusion can be drawn from the data?
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