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Let Xi be a random variable distributed normal mean i & variance i^2. Assume that the random variables X1, X2 and X3 are independent. Using these properties of X1, X2, X3:
(a) Give a statistic formula that has a chi-square distribution with 3 degrees of freedom. - Explain.
(b) Give a statistic formula that has an F distribution with 1 and 2 degrees of freedom. - Explain.
(c) Give a statistic formula that has a t distribution with 2 degrees of freedom. - Explain.
Graph the least-squares line on your scatter diagram. Be sure to use the point (x, y) as one of the points on the line.
a random committee of size 3 is selected from 4 doctors and 2 nurses. write a formula for the probability distribution
Assume that ages at onset of this disease are normally distributed for each gender, do not assume the population variances are equal. What are the appropriate null and alternative hypotheses?
Computing probability values using normal distribution - How many students earned between $20,000 and $40,000
A fast-food restaurant sells hamburgers and chicken sandwiches. On a typical weekday, the demand for hamburgers is normally distributed with a mean 313 and a standard deviation 57; the demand for chicken sandwiches is normally distributed with a m..
Compose a 350 to 700-word summary report of your findings to the researcher and owner of the restaurant in which you Identify evidence, if any, of the researcher's claim. Perform a one- or two-tail test on the data provided,
A recent national survey found that high school students watched an average (mean) of 7.5 DVDs per month with a population standard deviation of .60.
Cconducting in which you would analyze your results using a factorial ANOVA. Use the appropriate notation to describe the ANOVA you would conduct. Write your response in a Microsoft Word documen.
Compute mean, standard deviation, coefficient of variation and 5 key percentiles for these data.
Your boss tells you the margin of error is too large and wants it reduced to 3%. How many additional adults would you need in your sample to reduce the error to 3%?
Hours worked is important predictor of amount of sales.
Your workplace reduces all workplace scores on particular employee aptitude test in z-scores which are placed in district-wide distribution of scores.
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