2 -7.7 65.1 3 -4.8 -48.8 4 34.4 13.5 Problem 2; (Use data “juice") V. Tangpricha et al. did a study to determine whether fortifying orange juice with Vitamin D would result in change in the blood levels of five biochemical variables. In the experiment, 14 subjects drank 240 ml per day of orange juice fortified with 1000 IU of Vitamin D and 12 subjects drank 240 ml per day of unfortified orange juice. The following data, based on the results of the study, provides the decrease (negative values indicate increase) in PTH levels, in pg/mL, for those drinking the fortified juice and for those drinking the unfortified juice. At the 5% significant level, we wish to know if the data provide sufficient evidence to conclude that drinking fortified orange juice reduces PTH level more than drinking unfortified orange juice. -20.1 -20.5 6 11.2 7 26.4 15 8 -5 -6.1 9 -40.2 -48.4 10 65.8 40 11 55.9 8.8 12 -2.2 29.4 13 73.5 -28.7 14 -45.6 15 -15.5

2 -7.7 65.1 3 -4.8 -48.8 4 34.4 13.5 Problem 2; (Use data “juice") V. Tangpricha et al. did a study to determine whether fortifying orange juice with Vitamin D would result in change in the blood levels of five biochemical variables. In the experiment, 14 subjects drank 240 ml per day of orange juice fortified with 1000 IU of Vitamin D and 12 subjects drank 240 ml per day of unfortified orange juice. The following data, based on the results of the study, provides the decrease (negative values indicate increase) in PTH levels, in pg/mL, for those drinking the fortified juice and for those drinking the unfortified juice. At the 5% significant level, we wish to know if the data provide sufficient evidence to conclude that drinking fortified orange juice reduces PTH level more than drinking unfortified orange juice. -20.1 -20.5 6 11.2 7 26.4 15 8 -5 -6.1 9 -40.2 -48.4 10 65.8 40 11 55.9 8.8 12 -2.2 29.4 13 73.5 -28.7 14 -45.6 15 -15.5

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.1: Measures Of Center

Problem 4GP

See similar textbooks

Similar questions

What is an experiment?
A cross-sectional study of 1,900 participants looked at the association between Normal Course Load (12-15 credit hours (CH)) and Anxiety among upperclassmen college students (Junior & Senior). The study included 1,000 students with a High Course Load. This study also discovered a total of 850 cases of Anxiety. Of those with a Normal course load 12% were diagnosed with anxiety like symptoms by a school psychologist. Course Load High (16-19 CH) Normal (12-15 CH) Total 850 Yes Anxiety 1050 No 1000 900 1900 Total Fill in every blank cell in the table. You will report them as "fill in the blanks" below based on the labels in the table.
In a study of carbohydrate diet, an investigator wishes to test a hypothesis test for whether the population mean of cholesterol level among individuals taking medium carbohydrate diet for 4 months is different than 7.8 mmol/L A simple random sample (SRS) of 30 study participants is conducted. Subjects are randomized to receive medium carbohydrate diet for 4 months. The total cholesterol level at the time of entering the study had an average of 5.20 mmol/L and standard deviation of 1.3 mmol/L Calculate a 95% confidence interval (show your work) for the population mean of total cholesterol levels among those taking medium carbohydrate diet and use the confidence interval to draw a conclusion as to whether there is a difference in cholesterol levels. Choose the correct statement. O (4.7492, 5.6508) Do not reject HO sincc value of null hypothesis, 5.20 does fall in this range O (4.8216. 5.5783) Reject H0 since value of null hypothesis 7.8 does not fall in this range. O 14.7492. 5.6508)…
Serum estradiol is an important risk factor for breast cancer in postmenopausal women. To better understand the etiology of breast cancer, serum-estradiol samples were collected from 25 premenopausal women (at about the same time period of the menstrual cycle) of whom 10 were Caucasian and 15 were African American. Data were collected on both serum estradiol as well as body mass index (BMI) = weight (kg)/height2 (m2), which is an important measure of overall obesity. The data are shown in Table 9.16. The distribution of serum estradiol is usually highly skewed (especially for premenopausal women), and we are reluctant to assume normality. HW Question: What test can we use to compare the distribution of serum estradiol for Caucasian vs. African American women? Implement the test and report a two-tailed p-value based on large sample methods Here's my approach and I'm not sure if this is correct. I am using the Wilcoxon rank sum test for this problem. Group 1 (African-American): n=15…
A new cream that advertises that it can reduce wrinkles and improve skin was subject to a recent study. A sample of 68 women over the age of 50 used the new cream for 6 months. Of those 68 women, 39 of them reported skin improvement(as judged by a dermatologist). Is this evidence that the cream will improve the skin of more than 40% of women over the age of 50? Test using a= 0.05 (a) Test statistic: z= (b) The final conclusion is...A. There is not sufficient evidence to reject the null hypothesis that p=0.4 . That is, there is not sufficient evidence to reject that the cream can improve the skin of more than 40% of women over 50.B. We can reject the null hypothesis that p=0.4 and accept that p>0.4. That is, the cream can improve the skin of more than 40% of women over 50.
You are reviewing data on a clinical trial of 50-70-year-olds, on the effects of a vitamin supplement on arthritis. In the general population for this age range, 35% of the people have some arthritis symptoms. In the clinical trial of 500 people, they find that 170 have some arthritis symptoms. What do you conclude about the efficacy of the vitamin supplement? (Show relevant work)
Blood cocaine concentration (mg/L) was determinedboth for a sample of individuals who had died fromcocaine-induced excited delirium (ED) and for a sampleof those who had died from a cocaine overdose withoutexcited delirium; survival time for people in bothgroups was at most 6 hours. The accompanying datawas read from a comparative boxplot in the article“Fatal Excited Delirium Following Cocaine Use” (J.of Forensic Sciences, 1997: 25–31). ED 0 0 0 0 .1 .1 .1 .1 .2 .2 .3 .3.3 .4 .5 .7 .8 1.0 1.5 2.7 2.83.5 4.0 8.9 9.2 11.7 21.0Non-ED 0 0 0 0 0 .1 .1 .1 .1 .2 .2 .2.3 .3 .3 .4 .5 .5 .6 .8 .9 1.01.2 1.4 1.5 1.7 2.0 3.2 3.5 4.14.3 4.8 5.0 5.6 5.9 6.0 6.4 7.98.3 8.7 9.1 9.6 9.9 11.0 11.512.2 12.7 14.0 16.6 17.8 a. Determine the medians, fourths, and fourth spreadsfor the two samples.b. Are there any outliers in either sample? Any extremeoutliers?c. Construct a comparative boxplot, and use it as abasis for comparing and contrasting the ED andnon-ED samples.
You’re interested in knowing if a walking plus strength training exercise program results in a significantly greater increase in maxVo2 as compared to a walking only or a strength training only exercise program. Participants are randomly selected and then randomly assigned to one of three groups— walking plus strength training, walking only, or strength training only. After 6-months of exercise the participants are assessed. Which statistical analyses was used?
A random sample of 125 hypertensive and 150 normal senior citizens were asked if they read nutrition labels on food products. Results are presented below. (Check image) Is there an evidence of a significant difference between the proportions of hypertensive and normal senior citizens who read nutrition labels? Use a 5% level of significance.
Cardiac Arrest at Day and Night. A study investigated survival rates for in-hospital patients who suffered cardiac arrest. Among 58,593 patients who had cardíac arrest during the day, 11.604 survived and were discharged. Among 28,155 patients who suffered cardiac arrest at night, 4139 survived and were discharged (based on data from "Survival from In-Hospital Cardiac Arrest During Nights and Weekends" by Peberdy et al., Journal of the American Medical Association, Vol. 299. No. 7). We want to use a 0.01 significance level to test the claim that the survival rates are the same for day and night. In this example, use a confidence interval rather than a hypothesis test to help draw conclusions.
Polyunsaturated fatty acids in the diet favorably affect several risk factors for cardiovascular disease. The principal dietary polyunsaturated fat is linoleic acid. Suppose we randomly selected twelve adults for our study. We took their blood pressure measurements (systolic blood pressure) at the start and recorded them for each adult. Then we placed required these adults to consume 23g/day of safflower oil which is high in linoleic acid for four weeks. At the end of the four weeks, we took another systolic blood pressure(SBP) measurement. The paired data is provided below: Subject 1 2 3 4 5 6 7 8 9 10 11 12 Baseline SBP 119.67 100.00 123.56 109.89 96.22 133.33 115.78 126.39 122.78 117.44 111.33 92.39 1-month SBP 117.33 98.78 123.83 107.67 95.67 128.89 113.22 121.56 126.33 110.39 107.00 93.06 Use the appropriate nonparametric test at alpha level of 0.05, to test whether the diet heavy in linoleic acid increases systolic blood pressure (SBP). Use Steps 0-5
(True or False) A clinical trial is conducted to compare an experimental medication to placebo to reduce the symptoms of asthma. Two hundred participants are enrolled in the study and randomized to receive either the experimental medication or placebo. The primary outcome is self-reported reduction of symptoms. Among 50 participants who receive the experimental medication, 30 report a reduction of symptoms as compared to 15 participants of 50 assigned to the placebo. The 95% CI for the relative risk of participants reporting a reduction of symptoms between the experimental and placebo groups is between 1.529 and 8.012.