The medical researcher is comparing two treatments forlowering cholesterol: diet and meds. The researcher wantsto see if the patients who receive the recommendation tochange their diet have less success lowering cholesterolcompared to a prescription of meds. A random sample ofsome patients who received the recommendation to changetheir diet and others who were prescribed meds was taken.The results of how many did or did not lower theircholesterol are shown below:Data on Diet vs. Medsfor Weight LossDietMedsYes 343569No 204266What can be concluded at the = 0.10 level of significance?For this study, we should useSelect an answera. The null and alternative hypotheses would be:Ho:Select an answerSelect an answerSelect an answer (please enter a decimal)H₁: Select an answer ✪ Select an answerSelect an answer (Please enter a decimal)b. The test statistic ? ◊=your answer to 3 decimal places.)c. The p-value =4 decimal places.)d. The p-value is ? Q(please show(Please show your answer to

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Answered: lowering cholesterol: diet and meds.…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The city council is considering a law that would ban smoking in all public facilities. A sample has been selected from the community and tested for support of the ordinance. Is there a statistically significant relationship between age and support for the anti-smoking law? Use the five step model as a guide and write a sentence or two interpreting your results. Age Less than 40 More than 40 Support: For 145 78 223 Against 103 169 272 248 247 495
The boxplot below shows salaries for CPAS and Actuaries in a town. СРА Actuary 20 30 40 50 60 70 80 90 100 110 Salary (thousands of $) If a person is making the third quartile salary for a CPA, they are making less than % of Actuaries.
Recent research indicates that the effectiveness of antidepressant medication is directly related to the severity of the depression (Khan, Brodhead, Kolts & Brown, 2005). Based on pretreatment depression scores, patients were divided into four groups based on their level of depression. After receiving the antidepressant medication, depression scores were measured again and the amount of improvement was recorded for each patient. The following data are similar to the results of the study. Low High Moderate Moderate Moderately Severe Severe 0 2.6 2.7 2.7 1.7 2.5 3.2 3.3 2.2 3 3.2 5.2 0.6 1.8 3.8 1.5 1.9 1.9 3.8 5.9 1.3 1.2 2.4 2.9 From this table, conduct an one-way ANOVA. Calculate the F-ratio and p-value. Be sure to round your answers to three decimal places. Assume all population and ANOVA requirements are met. F-ratio: p-value: What is your final conclusion? Use a significance level of απ 0.02. There is not enough evidence to determine a difference between the treatments. There is…
A psychologist would like to examine the effects of a new drug on the activity level of animals. Three samples of rats are selected with n=5 in each sample. One group gets no drug, one group gets s small dose, and the third group gets a large dose. The psychologist records the activity level for each animal. The data from this experiment are presented below. No drug Small dose Large dose 5, 3 , 1 , 1 , 5 5, 5, 9, 6, 5 10, 12, 9, 6, 8 =3, SS=16 =6, SS=12 =9, SS=20 Do these data indicate any significant differences among the three groups? Test with α=0.05. Compute the effect size and interpret the result.
Education influences attitude and lifestyle. Differences in education are a big factor in the "generation gap." Is the younger generation really better educated? Large surveys of people age 65 and older were taken in n1 = 38 U.S. cities. The sample mean for these cities showed that x1 = 15.2% of the older adults had attended college. Large surveys of young adults (age 25 - 34) were taken in n2 = 37 U.S. cities. The sample mean for these cities showed that x2 = 18.1% of the young adults had attended college. From previous studies, it is known that ?1 = 6.4% and ?2 = 4.8%. Does this information indicate that the population mean percentage of young adults who attended college is higher? Use ? = 0.05. (c) Find (or estimate) the P-value. (Round your answer to four decimal places.) A random sample of n1 = 12 winter days in Denver gave a sample mean pollution index x1 = 43. Previous studies show that ?1 = 15. For Englewood (a suburb of Denver), a random sample of n2 = 16 winter days gave a…
The medical researcher is comparing two treatments for lowering cholesterol: diet and meds. The researcher wants to see if the patients who receive the recommendation to change their diet have less success lowering cholesterol compared to a prescription of meds. A random sample of some patients who received the recommendation to change their diet and others who were prescribed meds was taken. The results of how many did or did not lower their cholesterol are shown below: Data on Diet vs. Meds for Weight Los Diet Meds Yes 416 483 No 266 248 What can be concluded at the a = 0.05 level of significance? %3D For this study, we should use Select an answer a. The null and alternative hypotheses would be: Ho: Select an answer > Select an answer Select an answer O (please enter a decimal) Hj: Select an answer Select an answer Select an answer O (Please enter a decimal) b. The test statistic ? O (please show your answer to 3 decimal places.) c. The p-value = (Please show your answer to %3D 4…
The director of student services at Oxnard College is interested in whether women are less likely to attend orientation than men before they begin their coursework. Arandom sample of freshmen at Oxnard College were asked what their gender is and whether they attended orientation. The results of the survey are shown below: Data for Gender vs. Orientation Attendance Women Men Yes 335 No 314 392 344 What can be concluded at the a = 0.10 level of significance? For this study, we should use Select an answer a. The null and alternative hypotheses would be: Select an answer Select an answer v (please enter a decimal and note that Họ: Select an answer p1 and ul represent the proportion and mean for women and p2 and µ2 represent the proportion and mean for men.) H1: Select an answer Select an answer Select an answer | (Please enter a decimal) b. The test statistic (please show your answer to 3 decimal places.) c. The p-value = d. The p-value is ?a e. Based on this, we should Select an answer f.…
Professor Rouge wants to see if the color red increases people's attraction. For all participants, she shows them someone in a red shirt, someone in a blue shirt, and someone in a green shirt - and the participant rates each person from 1-10 in terms of their attractiveness. The data that she collected are below. Conduct the appropriate statistic in order to test her hypothesis. Include calculations of the effect size. Report your findings in a brief paragraph (a complete paragraph, like the one from class) and include the two tables that we did in class. Participant Red Green Blue 1 7 2 6. 10 7 6. 4 8 Upload Choose a File 6.
A preschool teacher is interested in whether the type of math program used impacts learning. One class receives a workbook to complete at home and another class receives an interactive app. The preschool teacher then compares whether those who received the interactive app versus the workbook perform better on a math test (percentage correct). Identify the independent variable and the operational definition Identify the dependent variable and the operational definition. Below you will find data for this experiment. Draw a histogram for each of the math programs. Determine if the data for each condition presents any skewness or kurtosis properties. Compute the following for each condition below: ∑X ∑(X)2 ∑X2 ∑(X-1) ∑(X-1)2 Workbook X f 80 2 79 2 75 3 81 1 60 5 65 6 75 8 App X f 90 5 80 3 82 4 94 3 78 2 93 4 92 6
Recent research indicates that the effectiveness of antidepressant medication is directly related to the severity of the depression (Khan, Brodhead, Kolts & Brown, 2005). Based on pretreatment depression scores, patients were divided into four groups based on their level of depression. After receiving the antidepressant medication, depression scores were measured again and the amount of improvement was recorded for each patient. The following data are similar to the results of the study. Low Moderate High Moderate Moderately Severe Severe 1.6 2.9 3.8 3.4 0.9 1.3 3 2.8 1.8 3.1 3.3 3.2 2.7 3.7 2.4 4.9 3.8 2.9 3.7 3.2 4.9 1.7 From this table, conduct an one-way ANOVA. Calculate the F-ratio and p-value. Be sure to round your answers to three decimal places. Assume all population and ANOVA requirements are met. F-ratio: p-value: What is your final conclusion? Use a significance level of a = 0.01. O There is sufficient evidence that there exists a significant difference between treatments. O…
A child psychologist believe that controlled physical outbursts of anger (like punching a pillow) may improve the mood of young boys with emotional impairment. He believes that the proportion of boys who benefit from the treatment is greater than the proportion of girls. A random sample from each population receives counseling in the treatment and is asked about their mood after an episode (x is the number of test subjects that reported an improvement in mood). The results of the study are summarized in the table below. Boys n1 = 200 Girls n2 = 210 %3D %3D X1 = 35 X2 = 28 Blank #1: Find the two sample proportions, reporting each as a decimal, rounded to two decimal places. Do the initial (untested) findings show what the researcher expected? Enter your answer as a list of 3 items: P1, P2, yes or no. Do not add any extra spaces and pay attention to rounding. For example, a valid answer may look like .52,.14,yes or .25,.50,no. Untested, you compared them but you could have done that…

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