When the mean time between failures (MTTR) approaches zero, what happens to availability? Is this a situation that can be portrayed in any way that's akin to reality?
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When the mean time between failures (MTTR) approaches zero, what happens to availability? Is this a situation that can be portrayed in any way that's akin to reality?
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- The assessment of diet is an important exposure for many disease outcomes. However, there is often much imprecision in dietary recall. In one study, 70-to 79-year-old women were asked about the preschool diet of their children (ages 2−4) using a food frequency questionnaire (FFQ). A unique aspect of the study is that simultaneous diet record data exist on the same children recorded in real time by their mothers when they were ages 2−4 and their mothers were 20 to 40 years old. The data in Table 11.36 were available on average servings of margarine per week. ID FFQ DR 340 7 0 399 7 0.5 466 0 0 502 0 0 541 0 0 554 7 2.5 558 7 3 605 7 0.5 611 21 3.7 618 0 2.5 653 21 4.1 707 7 8.5 The Pearson correlation between intake from the two re-cording methods was 0.448. Assume that FFQ and DR margarine intake are normally distributed. Question: Provide a 95% confidence interval for ρ. #95% CI for z r <- 0.448 #Fisher's transformation of rz <-…Suppose the observational units in a study are the patients arriving at an emergency room on a given day, 11 Nov 2019. For the following indicate whether it can legitimately be considered a variable or not: Whether or not men have to wait longer than women yes noThe owner of a small deli is trying to decide whether to discontinue selling magazines. He suspects that only 9.7% of his customers buy a magazine and he thinks that he might be able to use the display space to sell something more profitable. Before making a final decision, he decides that for one day he will keep track of the number of customers that buy a magazine. Assuming his suspicion that 9.7% of his customers buy a magazine is correct, what is the probability that exactly 6 out of the first 13 customers buy a magazine? 0.000305894 0.00100664 0.000699781 0.000778757 0.000204114 0.000326183
- Question The relationship between United States unemployment and inflation rates during the Covid-19 pandemic. Background The covid-19 pandemic has led to higher unemployment rates in the United States than normal because many people were laid off jobs in response to the pandemic (Al-Fadly, 2020). It is important to analyze how such as sharp increase in unemployment affected inflation in relation to how unemployment have traditionally affected inflation. The overall relationship between unemployment and inflation has traditionally been an inverse one. It is argued that when unemployment rates are higher, the number of individuals who are looking for jobs usually becomes higher than the number of job positions that are available (Putnam & Azzarello, 2015). In such a situation, employers tend to pay lower wages because there is abundance of workers which naturally leads to a lower wage inflation. This study will examine the relationship between unemployment rates and inflation…3. A social worker is interested in examining how people who have higher levels of psychological resiliency respond after a natural disaster. She obtained anxiety scores, which were measured on a scale of 1-12 with higher numbers meaning more anxiety, from eight individuals who had experienced a natural disaster. She collected these scores 3 weeks after the disaster (M=8.63) and 6 months after the disaster (M=4.38). She expected that the anxiety scores at 6 months would be much lower than at 3 weeks. If sD = 1.16 and you use a two-tailed test with an alpha of .05, is there a difference? Perform the 4 steps of hypothesis testing. %3D Anxiety at 3 Anxiety at 6 weeks 12 months 7 4 10 11 8. 5 6146 NI5 797 50The model predicts the percentage of people trusting in government' will be ___% in 2025?
- The owner of a small deli is trying to decide whether to discontinue selling magazines. He suspects that only 8.7% of his customers buy a magazine and he thinks that he might be able to use the display space to sell something more profitable. Before making a final decision, he decides that for one day he will keep track of the number of customers that buy a magazine. (b) Assuming his suspicion that 8.7% of his customers buy a magazine is correct, what is the probability that exactly 3 out of the first 14 customers buy a magazine? Give your answer as a decimal number rounded to two digits.A sociologist of education wants to prove that students’ sense of mastery and control before a math test could increase if students had a chance to practice with examples of questions from typical tests. The sociologist has long studied sense of content’s mastery and emotional control pre-math test with a scale called NoStressM, which ranges from 0 to 50, where 0 indicates great stress, and 50 indicates great control and mastery. In the typical student population, the day before the math test, students score 20 points on average, with a standard deviation of 6 points. The sociologist selected at a random a sample of 60 students from different schools and 3 offered them to practice for a week with questions drawn from typical math tests. The day before the math test, she administered the NoStressM scale to the 60 students and found a sample mean of 23 and a standard deviation like the one in the population. Your turn: a) Formulate the null and the alternative hypotheses that fit this…HDI revisited The United Nations DevelopmentProgramme (UNDP) uses the Human Development Index (HDI) in an attempt to summarize in one number the prog-ress in health, education, and economics of a country. The number of phone subscribers per 100 people is positivelyassociated with economic progress in a country. Can thenumber of phone subscribers be used to predict the HDI?Here is a scatterplot of HDI against phone subscribers:a) Explain why fitting a linear model to these data mightbe misleading.b) If you fit a linear model to the data, what do you think ascatterplot of residuals vs. predicted HDI will look like?
- Ankylosing spondylitis is an inflammatory disease which affects the spine and sacroiliac joint and can lead to the fusing of vertebrae in the spine. Exercise is important in helping manage pain, therefore a pharmaceutical company wanted to test if their new biologic would increase the time a patient could exercise before experiencing discomfort. The following table gives the time (in minutes) seven patients were able to exercise before reporting pain, both at baseline and then again after six months of taking the biologic.Exercise Time (in minutes)Subject 1 Baseline 30 Post-treatment 40Subject 245 40Subject 350 60Subject 435 37Subject 555 60Subject 620 25Subject 775 75Assume the population(s) of all exercise times is (are) normally distributed. Use JMP to test whether the evidence suggests that the time a person with ankylosing spondylitis can exercise before experiencing discomfort increases after taking this new biologic. Validate the test statistic from JMP by computing it manually.…Beryllium is an extremely lightweight metal that is used in many industries, such as aerospace and electronics. Long-term exposure to beryllium can cause people to become sensitized. Once an individual is sensitized, continued exposure can result in chronic beryllium disease, which involves scarring of the lungs. In a study of the effects of exposure to beryllium, workers were categorized by their duration of exposure (in years) and by their disease status (diseased, sensitized, or normal). The results were as follows: Duration of Exposure <1 1 to <5 ≥5 Diseased 14 13 18 Sensitized 11 20 15 Normal 78 140 209 Test the hypothesis of independence. Use the a=0.10 level of significance and the P-value method with the TI-84 Plus calculator. What do you conclude? State the null and alternate hypotheses.The relationship between United States unemployment and inflation rates during the Covid-19 pandemic. Background The covid-19 pandemic has led to higher unemployment rates in the United States than normal because many people were laid off jobs in response to the pandemic (Al-Fadly, 2020). It is important to analyze how such as sharp increase in unemployment affected inflation in relation to how unemployment have traditionally affected inflation. The overall relationship between unemployment and inflation has traditionally been an inverse one. It is argued that when unemployment rates are higher, the number of individuals who are looking for jobs usually becomes higher than the number of job positions that are available (Putnam & Azzarello, 2015). In such a situation, employers tend to pay lower wages because there is abundance of workers which naturally leads to a lower wage inflation. This study will examine the relationship between unemployment rates and inflation rate during…
