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Please provide me with a simplistic approach, outline or structure for the following assignment. I will write the paper.
Assignment: Write a paper assessing technology's future effect on the workplace.
1. Select an industry with which you are familiar.
2. Predict how future technology will inform, support, and potentially hinder productivity, culture, and work satisfaction within an organization in the industry.
3. Use current organizational behavior and leadership models with which you are familiar to support your predictions
Show the sampling distribution of p if a random sample of 150 insured individuals is used to estimate the proportion having received at least one ticket.
Using your workplace, present or prior, or an organization with which you are affiliated, identify a quantitative and a qualitative variable of interest to you.
Make a decision using the Decision Rule approach at given α = 0.05.
Is there an alternative test to the chi squared test? What if my results give an expected frequency below 5, which stats book states that these should be treated with caution?
What are the probabilities of accepting lots that are 10 percent, 20 percent, and 30 percent defective? Estimate the probability of accepting a lot that is 15 percent defective.
A manufacturer of athletic footwear claims that the mean useful lifetime of his product will exceed 50 hours. A random sample of 36 pairs of shoes leads to the following sample results, in terms of useful life: x = 52.3 hours and s = 9.6 hours.
Plot Kaplan-Meier Survival curve estimates along with true survival curve for n=25,100,1000
Suppose you are on a test and are asked to determine whether the given experiment is binomial, Poisson, or neither. What are you going to think about to determine which test to use. Do you have a checklist? How would you approach this problem?
Is there a significant difference the four testing conditions?
hat is sampling error? Could the value of the sampling error be zero? If it were zero, what would this mean? List the reasons for sampling. Give an example of each reason for sampling.
Find the asymptotic distribution of the MLE of the indicated parameter and find formulas for approximate standard errors of the MLE.
Assume company uses (100, 5) sampling plan to find out whether batch of 100,000 chips is acceptable. a) Compute the probability of rejecting a batch which has 3% defectives?
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