2. A new chemotherapy drug is relėased to may have fewer side effects than the most commonly used drug to treat leukemia. The two druas have equivalent efficacy. In order to determine if a larger study should be conducted to look into the prevalence of side effects for the two .05 level and interpret its results. leukemia and researchers suspect that the drug drugs, set up a Mann-Whitney U test at the alpha equals Number of Reported Side-Effects 3 3 Old Drug New Drug 1 1 4
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- Students at a college were surveyed about whether they are in favor of or opposed to an increase of fees in order to build a new sports complex. The results of the student responses, broken down by gender, are found in the following table. Male Female In favor 126 105 Opposed 84 115 Is the proportion of male students in favor of the fee increase significantly different from the proportion of female students in favor of the fee? Carry out a significance test of this problem at alpha = .05. Provide each of the following in your answer. a) State the null and alternative hypotheses for this problem situation. Use correct notation. b) Compute the test statistic c) List the critical value(s) and make a decision by comparing the test statistic to the critical value(s). d) List the p-value and make a decision by comparing the p-value to alpha. e) In 1-2 complete sentences,…A researcher wanted to examine whether type of dog food (freeze dried meat vs generic brand kibble) would affect dogs’ attention span. The researcher hypothesized that dogs who ate freeze dried meat would have longer attention spans than those who ate generic brand kibble. The researcher used a single sample of 13 subjects, that took part in both treatment conditions. The researcher set the alpha level at .01. The mean of the difference scores (MD)was 7.0 and the SSDfor the difference in attention spans was 144. What is the calculated test statistic to the nearest thousandth? Be sure to put the positive or negative sign in front of it. Note: SHOW ALL WORK!!!Imagine you are a statistical consultant and your client, a weightlifting supplement company, is looking to see if their product is effective in increasing muscle mass gained over a training cycle. You randomly sampled 20 female weightlifters and assigned them to take the supplement and 20 to take a placebo. You have both groups run the same controlled training program over 12 weeks and calculated their whole body lean mass difference in pounds from the beginning to the end of the program. Can you infer that the supplement group gained more muscle mass on average than the placebo group? Use a = 0.05 for any hypothesis test. પ્રમ 1) State the research question in one sentence and use the question to determine the parameter we are using to conduct statistical inference. Describe this parameter in one sentence using symbols and a description. manu Aren
- A hospital reported that the normal death rate for patients with extensive burns (more than 40% of skin area) has been significantly reduced by the use of new fluid plasma compresses. Before the new treatment, the mortality rate for extensive burn patients was about 60%. Using the new compresses, the hospital found that only 42 of 89 patients with extensive burns died. Use a 1% level of significance to test the claim that the mortality rate has dropped. What are we testing in this problem? single proportionsingle mean (a) What is the level of significance?State the null and alternate hypotheses. H0: ? = 0.6; H1: ? < 0.6H0: p = 0.6; H1: p ≠ 0.6 H0: p = 0.6; H1: p < 0.6H0: ? = 0.6; H1: ? > 0.6H0: p = 0.6; H1: p > 0.6H0: ? = 0.6; H1: ? ≠ 0.6 (b) What sampling distribution will you use? What assumptions are you making? The Student's t, since np < 5 and nq < 5.The standard normal, since np < 5 and nq < 5. The Student's t, since np > 5 and nq >…According to a certain government agency for a large country, the proportion of fatal traffic accidents in the country in which the driver had a positive blood alcohol concentration (BAC) is 0.34. Suppose a random sample of 113 traffic fatalities in a certain region results in 52 that involved a positive BAC. Does the sample evidence suggest that the region has a higher proportion of traffic fatalities involving a positive BAC than the country at the x = 0.05 level of significance? Because npo (1 - Po) = 25.4 > 10, the sample size is sample is given to be random, satisfied. (Round to one decimal place as needed.) What are the null and alternative hypotheses? less than 5% of the population size, and the the requirements for testing the hypothesis are Ho: P = 0.34 versus H₁: p > 0.34 (Type integers or decimals. Do not round.) Find the test statistic, Zo Zo = (Round to two decimal places as needed.)The authors of the paper "Statistical Methods for Assessing Agreement Between Two Methods of Clinical Measurement"† compared two different instruments for measuring a person's ability to breathe out air. (This measurement is helpful in diagnosing various lung disorders.) The two instruments considered were a Wright peak flow meter and a mini-Wright peak flow meter. Seventeen people participated in the study, and for each person air flow was measured once using the Wright meter and once using the mini-Wright meter. Subject Mini-WrightMeter WrightMeter Subject Mini-WrightMeter WrightMeter 1 512 494 10 445 433 2 430 395 11 432 417 3 520 516 12 626 656 4 428 434 13 260 267 5 500 476 14 477 478 6 600 557 15 259 178 7 364 413 16 350 423 8 380 442 17 451 427 9 658 650 (a) Suppose that the Wright meter is considered to provide a better measure of air flow, but the mini-Wright meter is easier to transport and to use. If the two types of meters produce different…
- The Joint Commission on Accreditation of Healthcare Organizations mandated that hospitals ban smoking by 1994. To study the effects of this ban on smoking behaviors, subjects were randomly selected from two different populations: those from hospitals with the ban and those from hospitals without the ban. Investigators were interested in determining if this smoking ban had any impact on the proportion of smokers employed at each hospital that then quit smoking. Let px be the proportion of smokers from hospitals that implemented the ban who quit smoking during the study period. Let py be the proportions of smokers from hospitals without the ban who quit smoking during the study period. Please select the appropriate hypotheses. H0: px = 0.50 HA: px ≠ 0.50 H0: px-py ≥ 0 HA: px-py H0: px-py ≤ 0 HA: px-py > 0 H0: px-py = 0 HA: px-py ≠ 0An RCT was designed to test the effectiveness of naltrexone, an opiate receptor antagonist, as a treatment for alcohol dependence. Subjects with chronic severe alcohol dependence were randomly assigned to either 3 months of naltrexone treatment or 3 months of placebo treatment. The number of drinks per drinking day was compared between the two groups. Let μ1= population mean number of drinks per drinking day for those on Naltrexone and μ2= population mean number of drinks per drinking day for those on placebo. The data from the study are summarized in the table below. Naltrexone(n1 = 196) Placebo (n2=195) Mean Number of drinks perdrinking day Xbar1=10.5 Xbar2=9.3 Standard Deviation of Numberof drinks per drinking day S1= 80 S2= 7.0 The investigators want to test whether there is a significant difference between the two groups using a 5% significance level. 1. What is the most appropriate test to address the investigators’ research question? a. Pearson’s Chi-Squared…Since this research focuses on sleep habits in college students and its effect on mental health, we have proposed the research question to be what the prevalence of college student's mental health issues are due to poor sleeping habits.Previous research has shown that anxiety and depression can be two indicators of poor sleep habits in college students (Becker et al., 2018). As mentioned before, college students are also at risk of developing poor sleep habits because, as freshmen, they transition into a more significant workload than they are accustomed to doing. They are also given more freedom with their time. So, we predict a relationship between mental health and low amounts of sleep-in students. In contrast, the alternative outcome is that there will be no mental health problems arising as students lose sleep for long periods. Since getting good sleep allows us to function better throughout our days, we will likely see the impact bad quality and quantity of sleep will have on…
- The following data were obtained from an independent-measures study comparing three treatment conditions. Treatment 1 2 3 n=6 n=6 n=6 M=1 M=2 M=6 SS=60 SS=65 SS=40 N= 18 G= 54 Sum of squares X^2= 411 Conduct an ANOVA with to determine whether there are any significant differences among the three treatment means. (alpha=.05)31% of all pygmy softshell toises have stripes on their shells. A herpetologist in Cititon collects a sample of 28 pygmy softshell tortoises and finds that 8 of them have stripes on their shells. Is there enough evidence to conclude, at a significance of alpha=0.05, that the proportion of pygmy softshell tortoises in Cititon with stripes on their shells is less than 31%? What is the claim? What is the null hypothesis? What is the alternative hypothesis? What is the test statistic? What is/are the critical value(s)? Do we reject the null hypothesis? What conclusion do we draw? What is the P-value for the problem above?An indigenous plant is used by natives to help those with anxiety. It is believed by natives to immediately reduce anxiety. A study was conducted to test the actual effects of this plant. Participants were given different amounts of the plant extract after being placed in a high anxiety situation. Anxiety scores were then measured. The higher the score, the more anxiety the participants were experiencing. Due to the lack of research surrounding this plant, researchers did not have formal hypotheses. Therefore, compare all 3 groups if the null hypothesis is rejected. Use alpha = .05. Control 1 ounce 2 ounces = 13 SS, = 234 SS, = 206 SS, = 328 = 19 = 17 n, = 30 n, = 30 n, = 30 %3D S Total 1088 A. State the hypotheses. B. Make a decision about the null. C. State your conclusion. D. Relate your conclusion to the research. E. If allowed, conduct analytical comparisons for every comparison. Use alpha = .05