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You work at a facility and want to perform an assessment of your safety culture – this would involve multiple topics of questions expecting answers like agree, tend to agree, not sure, tend to disagree, disagree. How would you estimate the sample size if your total facility population is only 80 persons? Would the manner in which you estimate the sample size be different if you used any combination of the following methods to conduct the assessment: a written survey, individual interviews, one on one observations, or focus groups? What if these assessments must be performed at eight different facilities that have no relationship to each other and each of their total populations range from 15-1000, with a mean of 153? To make it even more complicated, would the manner in which you estimate sample size change if you really wanted each of the facilities to assess eight work groups or divisions in the workforce (e.g., management, operations, maintenance, engineering, etc.) at each of their facilities?
If an original set of measurements is made in inches and has mean of 36 and variance of 144, what will be the mean, variance, and standard deviation if:
You've administered a standardized test of manual dexterity to two groups of 10 semi skilled workers. One of these two groups of workers will be employed by you to work in a warehouse with many fragile items.
Why is cumulative relative frequency distribution so much more informative that just relative frequency distribution? Use examples to explain these differences.
A, B, C, D. If the order in which the truck visits the eight locations is chosen randomly, what is the probability that it will visit them in alphabetical order?
One of the questions asked on the survey to purchasing agents is: Do you think the economy is expanding? Last month, of the 300 responses 160 answered yes to the question.
Calculate P value? Calculate critical value?
Estimate the population in 1600 and graph the population trend from 1600 through to 2000
The life corn delight popcorn maker is normally distributed with them mean of 20 months and a standard deviation of two months. The manufacturer will replace on the life popper if it breaks during the guarantee period.
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?
Using the method outlined in Brase and Brase, do the data indicate that the age group over 50 has a lower rate of hay fever?
Draw a straight or dotted line for graphing. Most especially the below problem. Please assist. Could you also let me know what is the significance of the dotted and straight lines?
Make a scatter diagram of the scores; (b) describe in words the general pattern of correlation, if any (c) figure the correlation coefficient; (d) figure whether the correlation is statistically significant.
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