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Suppose that the standard deviation of the annual household incomes for a city is $20,000. Also we know that 20% of household incomes of the city are below $25,000. Find the mean of the annual household incomes of this city. It is assumed that the annual household incomes follow a normal distribution.
Test the hypothesis that the proportion of all student cell phone users in the United States who own a smartphone is 35%. Use the 5% level of significance and report your results.
Carryout the ANOVA and, if essential, post-hoc comparisons. Conduct a graph to represent group differences, and interpret ANOVA in a paragraph written in APA style.
As it is a 2 _ 2 table, try also two-tailed two-sample z test for ð1 = ð2 and verify that z2 is same as your chi-square statistic. Which test do you favour? Describe why?
Discuss the factors which might cause variation in the weight of Tootsie Rolls during manufacture.
Compute cumulative probabilities for these numbers in second column. Then create a histogram illustrating data distribution. Using generated Normal probability table, determine probability of Pr(X
Construct a 94% confidence interval for the true mean fill volume for all jugs of softener.
Run a Monte Carlo simulation 1000 trials for the following distribution. Determine the mean and standard deviation of the simulated distribution.
A study conducted at a certain college shows that 53% of the school's graduates find a job in their chosen field within a year of graduation. Find the probability that among 7 randomly selected graduates, at least one finds a job in his or her cho..
Construct a 99% confidence interval for the difference in the probabilities of getting a fracture for non-cola drinking and cola drinking kids.
Develop a scatter diagram for the data and write a brief summary.
Based on the information above, estimate the mean and standard deviation of the weight of the pain killer in each bottle.
Suppose that the population of heights of male college students is approximately normally distributed with mean m of 68 inches and standard deviation s of 3.75 inches.
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