Based on the following calculator output, determine the range of the dataset. 1-Var-Stats x = 253.857142857 Σæ = 1777 Σχ2 = 461587 Sx 41.7988379879 = σχ= 38.6982043564 n=7 minX= 210 Q₁ = 213 Med 245 Q3 = 299
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- COVID-19 (novel corona virus) took the world by surprise in late 2019. By early 2020, nearly all countries worldwide were affected.Early reports have claimed that a large percentage of those infected with the corona virus were asymptomatic (showed no symptoms of the virus). The rate of asymptomatic infections is important, since such people can unwittingly spread the virus to those around them.Suppose the U.S. Centers for Disease Control and Prevention (CDC) needs to estimate the proportion of the infected population that is also asymptomatic. A random sample of 1500 infected patients is examined and 382 are observed to be asymptomatic.Determine the point estimate, ˆp and the sample standard deviation, sˆp. Round the sample proportion to four decimal places and round the standard deviation to six decimal places, if necessary.ˆp=sˆp=Using a 95% confidence level, determine the margin of error, E, and a confidence interval for the proportion of all patients who are infected with the…The goal of a ________ is to explain the relationship between observed phenomena, without necessarily being directly testable. datum theory hypothesis quantitative studyEndocrinology In Section 2.10, we described Data Set BONEDEN.DAT concerning the effect of tobacco use on BMD. Note: 2.38-2.40 Involve computing a new variable C. Compute C using the formula given and then use STATA to produce the output requested. 2.38. For each pair of twins, compute the following for the lumbar spine: A = BMD for the heavier-smoking twin − BMD for the lighter-smoking twin = x1 − x2 B = mean BMD for the twinship = (x1 + x2)/2 C = 100% × (A/B) Derive appropriate descriptive statistics for C over the entire study population. 2.39. Suppose we group the twin pairs according to the difference in tobacco use expressed in 10 pack-year groups (0–9.9 pack-years/10–19.9 pack-years/20–29.9 pack-years/30–39.9 pack-years/40+ pack-years). Compute appropriate descriptive statistics, and provide a scatterplot for C grouped by the difference in tobacco use in pack-years 2.40. What impression do you have of the relationship between BMD and tobacco use based on Problem 2.39?
- Question 12 Do You Own a Smartphone?A study1 conducted in July 2015 examines smartphone ownership by US adults. A random sample of 2001 people were surveyed, and the study shows that 688 of the 989 men own a smartphone and 671 of the 1012 women own a smartphone. We want to test whether the survey results provide evidence of a difference in the proportion owning a smartphone between men and women.Let group 1 be US men and let group 2 be US women.Click here to access StatKey.1Anderson M, "The Demographics of Device Ownership," pewresearch.org, October 29, 2015. (a) State the null and alternative hypotheses. Your answer should be an expression composed of symbols: =,≠,<,>,μ,μ1,μ2,p,p1,p2,ρ,p^,p^1,p^2,r. H0: vs Ha:Edit (b) Give the notation for the sample statistic. p1-p2 p^1-p^2 μ1-μ2 x-1-x-2 ρ1-ρ2 r1-r2…CD4 cells are carried in the blood as part of the human immune system. One of the effects of the HIV virus is that these cells die. In this study of the effectiveness of a new anti-viral drug on HIV, 20 HIV-positive patients had their CD4 counts recorded (“Baseline”) and then were put on a course of treatment with this drug. After using the drug for one year, their CD4 counts were again recorded (“OneYear”). The aim was to show that patients taking the drug had increased CD4 counts which is not generally seen in HIV-positive patients. Baseline OneYear 2.12 2.47 4.35 4.61 3.39 5.26 2.51 3.02 4.04 6.36 5.1 5.93 3.77 3.93 3.35 4.09 4.1 4.88 3.35 3.81 4.15 4.74 3.56 3.29 3.39 5.55 1.88 2.82 2.56 4.23 2.96 3.23 2.49 2.56 3.03 4.31 2.66 4.37 3.00 2.40 1) What is the correlation between baseline and one year CD4 counts?Attack rate for influenza by age andtreatment group age QIV group Control group 3-4 3.78% 5.69% 5-8 1.70% 0.15% Suppose that 80% of 3–4-year-old children and 70% of 5–8-year-old children in a village are vaccinated with QIV vaccine. Also assume that children who are not vaccinated have twice the incidence of influenza as the control group in Table. What % of 3–4-year-old children in the village will get influenza? (Hint: Use the law of total probability. P(B)=P(B|A1) x P(A1) + P(B|A2) x P(A2) ) What % of 5–8-year-old children in the village will get influenza? (Hint: Use the law of total probability. P(B)=P(B|A1) x P(A1) + P(B|A2) x P(A2) )
- Overweight participants who lose money when they don’t meet a specific exercise goal meet the goal more often, on average, than those who win money when they meet the goal, even if the final result is the same financially. In particular, participants who lost money met the goal for an average of 45.0 days (out of 100) while those winning money or receiving other incentives met the goal for an average of 33.7 days. The incentive does make a difference. In this exercise, we ask how big the effect is between the two types of incentives. Find a 90% confidence interval for the difference in mean number of days meeting the goal, between people who lose money when they don't meet the goal and those who win money or receive other similar incentives when they do meet the goal. The standard error for the difference in means from a bootstrap distribution is 4.14.Murder was committed in an air-conditioned laboratory. Dr. Quincy, the medical examiner, was summoned to the scene of the crime. One of the first things he did was to take the temperature of the corpse. At 9:23 PM, he recorded the temperature to be 20.1oC and at 9:53 Pm to be 18.7oC. He further observed that the thermostat of the air-conditioning unit was set at 16oC. After gathering all pertinent data and analyzing them for sometime, he submitted a preliminary report stating that the victim was murdered between 7 PM and 8 PM. Was Dr. Quincy's report correct? At what approximate time did the victim die? Assume that the normal body temperature of a human being, alive and well, is 37oC.One of the markers of toxicity of a proposed drug during drug development is loss of weight in the exposed individuals. Female was exposed to a proposed drug and the effects were observed during a 28 days period. Another record only the vehicle. These two groups were animals of similar age and gender and were all treated in similar ways regarding nutrition, water and environment. Result of the weight of 16 male mice before and after treatment are tabulated in table 2 below: Table 2: Table of the weights (gm) of 16 male mice before (X1a) and after treatment (X1b) X1a 20 21.2 20.6 19.5 18.9 20.2 21 19.6 17.8 18.5 18.3 19.2 19.6 19.4 19.2 19 X1b 20.9 21.9 21.2 21 19.9 20.9 21.8 21 18.6 19.9 19 20 20.1 20 20 20.7 Determine if these was a statistical weight difference (gain/loss in the 2 groups) Using paired t-test
