Question:

Research Article Critique, Part Two

Relationship of Hospitalized Elders' Perceptions of Nurse Caring Behaviors, Type of Care Unit, Satisfaction with Nursing Care, and Health Outcome of Functional Status (Dey, 2016)

1) What is the acceptance rate for this study?

a. 100%

b. 182/180 x 100% = 99%

c. 2/180 x 100% = 1%

d. unknown/cannot be calculated

2) Which of the following would be accurate for the attrition rate for this study?

a. 1/78 x 100% = 1%

b. 0%

c. 77/78 x 100% = 98%

d. unknown/cannot be calculated

The doi for this article is 10.20467/1091-5710.20.3.134

This is all the information I have pertaining to these 2 questions

Question 2: In this question will again compute a mean and 5. variance by hand. Suppose we had the following data: 5, 5, 5, 5, Fill in the table using the same approach as in question 1. Then, sum up the numbers entered in column C for the table below to compute the sample variance: $ 2 E(x - 2)? n - 1 Your sample variance should have been 0, otherwise you made a mistake. Correct the mistake if needed. Intuitively, why do you think the variance is 0 for this data set? column A column B column C X ( x - X ) ( x - x ) 5 n = 5 5 X =4. Suppose that n light bulbs are burning simultaneously to determine the lengths of their lives. We shall assume that they burn independently and that the lifetime of each bulb has the exponential distribution with parameter . Let X2- denote the lifetime (in thousand hours) of bulb i, for 2' : 1, . . . ,n. The pdfJ mean and variance of exponential distribution Expw) are 1 1 1%) = fie'93, 1300 = -, Var(X) = 2- 3 X3 (a) What does the central limit theorem say about the distribution of W when n is large? (b) Find a two-sided 95% condence interval of the mean lifetime (1/3). Express your answer in terms of n, X and z (the 2 critical values). Interpret the condence interval you obtain in context of the situation. (c) Now, suppose that we want to test whether or not the mean lifetime is 1000 hours, we would consider H0:,8=1Ha:71. Derive the likelihood ratio statistic. (d) Denote the likelihood ratio statistic by A(X). Should the null hypothesis H0 be rejected when A(X) is large or small? (0) What is the large-sample distribution of 2 log AU?) when the null hypothesis H0 is true? (f) Explain what a Type I error would mean in context of this problem. Consider a time-inhomogeneous continuous time Markov chain with transition proba- bilities given by, Prob(x(t) = j|x(s) = i) = paj(s, t) for t > s. (Assume that P(s, t) = [pij (s, t)] is a very smooth function of s and t, say, continuously differentiable). Define, Q (t ) : = ap(s, t) at Is=t. (i) Show that ap(s, t) as Is=t = -Q(t). [Hint: Use P(s, t) = I + (t - s)Q(t) + o(t - s)]. (ii) Show that the following partial differential equation is satisfied by the transition probability matrix, ap(s, t) = -Q(s) P(s, t). as (This equation is called the backward equation). Hint: Use the Chapman-Kolmogorov equation P(s, t) = P(s, o) P(o, t).]A Moving to another question will save this response. Question 3 The term differential cost refers to: A cost which continues to be incurred even though there is no activity. A cost which does not involve any dollar outlay but which is relevant to the decision-making process. A difference in cost which results from selecting one alternative instead of another. The benefit forgone by selecting one alternative instead of another. 1 Moving to another question will save this response