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Delta Wire prides itself on its efforts in the area of employee education. Employee education can pay off in many ways. Discuss some of them. One payoff can be the renewed interest and excitement generated toward the job and the company. Some people theorize that because of a more positive outlook and interest in implementing things learned, the more education received by a worker, the less likely he or she is to miss work days. Suppose the following data represent the number of sick leave taken by 20 workers last year along with the number of contact hours of employee education/training they each received in the past year. Use the techniques learned in this chapter to analyze the data. Include both regression and correlation techniques. Discuss the strength of the relationship and any models that are developed.
EMPLOYEE
HOURS OF EDUCATION
SICK DAYS
1
24
5
2
16
4
3
48
0
120
36
6
10
7
65
8
9
12
11
13
14
15
17
18
19
20
Attach excel or Minitab output (the output you generated using data set given in the question). Then by using output answer the following questions.
(a) Write the linear equation. How would you explain slope in this case.
(b) Develop a scatter diagram using excel or Minitab. What is the value of multiple R?
(c) What is R2 in this model? Explain R2 in words.
(d) Is this model statistically significant? Conduct hypothesis test. Use α = 0.05
(e) Draw a normal probability plot for residuals using excel or Minitab. Do the residuals seem normally distributed? If yes, why?
(f) Would you recommend using this model? Explain why or why not.
Assume 1.5% of antennas on new Nokia cell phones are imperfect. For random sample of 200 antennas, determine the probability that: None of the antennas is defective.
Evaluate z statistic for the Wilcoxon rank sum test, standard deviation for the Wilcoxon rank sum test and P-value for the Wilcoxon rank sum test
At the .01 significance level, is there a difference in the use of the four entrances?
The chi-square goodness of fit test can be used when we:
Events A and B are mutually exclusive events defined on common sample space. If P (A) 0.5 and P (A or B) = 0.70, determine P (B).
Develop a 99 percent confidence interval for the population proportion.
Graph the distribution using a histogram. Calculate the mean and standard deviation.
Use empirical Rule to evaluate proportion of costs within 2 standards deviations of mean. Write down these limits.
Determine the value of correlation coefficient between these 2 variables?
Estimating a linear regression equation to predict the future values of the dependent variable Y.
What is the probability of this actually happening?
Test the claim that the mean age of the prison population in one city is less than 26 years. Sample data are summarized as n = 25, x = 24.4 years, and s = 9.2 years. Use a significance level of α = 0.05.
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