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1. What do the three types of longer reports have in common with one another? How do they differ?
2. What is plagiarism, and why is it critical to avoid plagiarism in both academic and business writing?
3. What is the difference between making a recommendation and drawing a conclusion?
4. Is a solicited or unsolicited proposal likely to be more effective in securing new business?
5. Why is selecting the correct visual critical to the success of a report?
6. Which skills do oral presentations allow you to practice and demonstrate? Which skills do online presentations allow you to practice and demonstrate? Which skill do you want to improve the most? Explain your response.
Answer each question with at least 100 words each
The residents play both shuffleboard and poker, find the probability that a resident plays poker, given that they garden (that is, find P(poker | garden).
Let X1, ... , Xn be i.i.d. r.v.'s with (?nite) unknown mean m and (?nite) known variance s 2, and suppose that n is large. i) Use the CLT to construct a con?dence interval for m with approximate con?dence coef?cient 1 - a;
The average range found over these samples is 0.15 gallons. What is the upper control limit for the averages in this process?
Use the decision rule associated with part (a) and a range of selected assumed values for µ in constructing the power curve for the test.
what is the probability that student from this class will pass not fail?a 0.45b 0.60c 0.72d
Give two alternative representations of the log-likelihood function - How would the log-likelihood function differ for the logit model?
The function s(t) = ut + 1/2 gt^2 represents the distance traveled s meters in time t seconds when the initial velocity is u m/s and acceleration is g m/s^2.
Taguchi experiment is to be performed on the effects of lift, bore, stroke, and compression on engine performance with horsepower as the outcome variable. Determine the best levels for each factor and state your conclusions.
Do you think that these types of statistics can ever be accurate? How could this statistic be biased? In what ways could scientists misinterpret the results of their studies and come up with an incorrect statistic? What are your thoughts?
Customers arrive to the company at a rate, on average, of one per hour with a Poisson distribution. The company is staffed by a single individual(the owner) who takes on average 30 minutes with each customer with a standard deviation of 15 minute..
according to studies by vha inc. an alliance of community hospitals on average it takes 49 minutes before a doctor sees
Use the normal distribution to approximate the following probability: According to the most recent Davenport student profile, 47% of students have children under 17 living at home with them.
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