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A store manager wishes to find out whether there is a relationship between the age of her employees and the number of sick days they take each year. The data for the sample are shown below:
age x 18 26 39 48 53 58 sick days y 16 12 9 5 6 2
a. Draw the scatter plot for the variables.
b. Compute the value of the correlation coefficient.
c. State the hypotheses.
d. Test the significance of the correlation coefficient at .
e. Give a brief explanation of the type of relationship.
A random variable has the density curve as in the graph below. Find The height of the density curve?
Perform all pairwise comparisons among the three programs, using a Tukey adjustment and an overall significance level of 0.05, then interpret all your results.
Consider the following data on 20 chemical reactions, with Y = chromatographic retention time (seconds) and X = molecular weight (gm/mole).
Use the population standard deviation along with the sample mean, S, and find a 92% confidence interval for the population mean. Is the true population mean contained in this interval?
An accounting firm has recently recruited six graduates: three men and three women. Three of the graduates are to be selected at random to work in the firms suburban office. Construct a probability tree.
What is the probability that a randomly selected fertilized egg hatches in less than 19 days? (Round to four decimal places as needed).
In a bumper test, three types of autos were deliberately crashed into a barrier at 5 mph, and the resulting damage (in dollars) was estimated. Five test vehicles of each type were crashed, with the results shown below. Research question: Are the ..
Calculate the Pearson correlation for these data also determine whether there is a significant correlation among attitudes for husbands also wives.
Give a brief definition and an example of the following: a. Descriptive Statistics b. Inferential Statistics
Compute the 95% confidence interval for the population proportion of registered voters who favor the slow growth initiative.
Consider a multinomial experiment involving n = 300 and k = 5 cells. The observed frequencies resulting from the experiment are shown in the accompanying table, and the null hypothesis to be tested is as follows:
While purchasing a home, location is everything. As a buyer, one should be aware of the cost of living in the area of choice, as well as expect a higher cost the closer to the center of town you get.
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