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A sample of 28 student scores on the chemistry midterm exam is shown. (a) At α = .10, does the population median differ from 50? Make a worksheet in Excel for your calculations. (b) Make a histogram of the data. Would you be justified in using a parametric t test that assumes normality? Explain.
Chemistry
74 60 7 97 62 2 1005 99 78 93 32 43 6487 37 70 54 60 62 1726 45 84 24 66 7 48
Assume that these distributions are distributed as normal random variables with the means and standard deviations given previously. Find the probability that the return for common stocks will be greater than 8%.
Construct the 90% and 95% interval estimates for the population mean weekly sales.
Lengths of his classes are uniformly distributed between 45.0 and 55.0 minutes. Determine the probability that the given class period run less than 51.5 minutes.
The university police department must write, on average, five tickets per day to keep department revenues at budgeted levels. Suppose the number of tickets written per day follows Poisson distribution with a mean of 9 tickets per day.
The mean age of a sample of 60 students from a class was found out to be 25.3 years. The variance in population age was 16 years.
Assume salaries are normally distributed with a standard deviation of $4,500. What is the probability of a new graduate receiving a salary between $45,000.
Using the .01 level, what should the researcher conclude? Solve this problem explicitly using all five steps of hypothesis testing, and illustrate your answer with a sketch showing the comparison distribution, the cutoff (or cutoffs), and the scor..
(a) Consider a normal distribution with mean μ = 88. If 2% of the values lie below x = 50, find the standard deviation σ. (b) Consider a normal distribution with standard deviation σ = 15.6. If 10% of the values lie above x = 17.2, find the mean μ.
By constructing null and alternative hypotheses, computing critical values, and comparing test statistic to critical value.
Suppose that in a hypothesis test with null hypothesis = 13.0 at 0.05, that a value of 11.0 for the sample mean results in the null hypothesis not being rejected.
In fact, the amount of coverage is known to be approximately normally distributed with a standard deviation of 25 square feet. How large a sample should be taken to estimate the true mean coverage of all 1-gallon cans to within 5 square feet with ..
The data below show the average daily high temperature for Chicago, Illinois, for twelve recent spring and summer months. Construct a stem-and-leaf diagram for the data:
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