In a study of 420,060 cell phone users, 103 subjects developed cancer of the brain or nervous system. Test the claim of a somewhat common belief that such cancers are affected by cell phone use. That is, testthe claim that cell phone users develop cancer of the brain or nervous system at a rate that is different from the rate of 0.0340% for people who do not use cell phones. Because this issue has such greatimportance, use a 0.005 significance level. Identify the null hypothesis, alternative hypothesis, test statistic, P-value, conclusion about the null hypothesis, and final conclusion that addresses the original claim.Use the P-value method and the normal distribution as an approximation to the binomial distribution.... ..Which of the following is the hypothesis test to be conducted?O A. Ho: p<0.00034H1:p=0.00034B. Ho: p= 0.00034H,:p<0.00034C. Ho: p>0.00034H:p=0.00034O D. Ho: p=0.00034H,: p>0.00034O E. Ho: p#0.00034H1:p=0.00034O F. Ho: p=0.00034H4:p#0.00034What is the test statistic?Z=(Round to two decimal places as needed.)What is the P-value?P-value =(Round to four decimal places as needed.)What is the conclusion on the null hypothesis?吕口000F5F4F3F2escF1#$3452YRTLEGO importance, use a 0.005 significance level. Identify the null hypothesis, alternative hypothesis, test statistic, P-value, conclusion about the null hypothesis, and final conclusion that addresses the original claim.Use the P-value method and the normal distribution as an approximation to the binomial distribution.peopieđồ hot use ceéll phones. Because this issue has such great(Round to two decimal places as needed.).....What is the P-value?P-value =(Round to four decimal places as needed.)What is the conclusion on the null hypothesis?A. Fail to reject the null hypothesis because the P-value is greater than the significance level, a.B. Fail to reject the null hypothesis because the P-value is less than or equal to the significance level, a.C. Reject the null hypothesis because the P-value is greater than the significance level, a.D. Reject the null hypothesis because the P-value is less than or equal to the significance level, a.What is the final conclusion?A. There is not sufficient evidence to support the claim that cell phone users develop cancer of the brain or nervous system at a rate that is different from the rate of 0.0340%.B. There is sufficient evidence to support the claim that cell phone users develop cancer of the brain or nervous system at a rate that is different from the rate of 0.0340%.C. There is sufficient evidence to warrant rejection of the claim that cell phone users develop cancer of the brain or nervous system at a rate that is different from the rate of 0.0340%.O D. There is not sufficient evidence to warrant rejection of the claim that cell phone users develop cancer of the brain or nervous system at a rate that is different from the rate of 0.0340%.888F5F4F3F2escF1$23@342ERQWH.LEGO

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Answered: In a study of 420,060 cell phone users,…

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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3) Two hundred hypertensive patients are assigned to a diet program. Blood pressure is measured on each patient both before the program starts and 3 months after the start of the program. The correct statistical procedure to determine whether or not the mean blood pressure change (after-before) changed significantly different in the patients is: a. Paired t-test b. 2 sample unpaired t-test c. Fisher's exact test (an exact version of the chi-squared test for 2x2 contingency tables) d. None of the above
#32). Please show work and answers, need to see how it’s done. Thank you!
A bank wonders if omitting the annual fee for customers who charge at least $4000 per year would increase the amount of credit card usage (i. e. the total amount charged in a year). The bank makes this offer to a random sample of customers that have spent at least $4000. It then compares how much these customers charged this year with how much they charged last year. This data is found on sheet "CC Fees." Is there evidence at a 5% significance level to state that the mean amount increases when the "no-fee" offer was given?
Teenagers who do not sleep well or long enough may have a higher risk of raised blood pressure, which could lead to cardiovascular disease later in life. The odds of raised blood pressure increase 3.5 times for those who have trouble falling asleep at night or who wake up too early and 2.5 times for those with sleeping periods of fewer than 6.5 hours. A health psychologist is interested in studying teenagers who have diastolic blood pressure scores in the top 20%. Diastolic blood pressure scores for teenagers follow a normal distribution with μ = 72 and σ = 10. Use the Distributions tool to help answer the questions that follow. The minimum z-score necessary to be in the top 20% of the diastolic blood pressure distribution is z =0.842 . Use this z-score to determine X, the corresponding diastolic blood pressure score. X = 80.42 This score, X, is the 80th percentile of diastolic blood pressure scores among teenagers. The percentile rank of this score is 80%…
According to the American Lung association, lung cancer account for 28% of all cancer deaths in the US. A new type of screening for lung cancer, computed tomography (CT), has been developed. Medical researchers believe CT scans are scans are more sensitive than regular X-rays in pinpointing small tumors. The Cancer Center at the University of South Florida is currently conducting a clinical trial of 50,000 smokers nationwide to compare the effectiveness of CT scans with X-ray for detecting lung cancer (Today’s Tomorrows, Fall 2002). Each participating smoker is randomly assigned to one of the two screening methods, CT or chest X-ray, and his or her progress is tracked over time. The age at which the scanning method first detects a tumor is the variable of interest. A. Identify the data collection method used by the cancer researchers. B. dentify experimental units of the study. C. Identify the type of the variable measured. D. Identify the population and sample.
A clinical trial is planned to compare an experimental medication designed to lower blood pressure to a placebo. Before starting the trial, a pilot study is conducted involving eight participants. The objective of the study is to assess how systolic blood pressure changes over time untreated. Systolic blood pressures are measured at baseline and again 4 weeks later Is there a statistically significant difference in blood pressures over time? Run the test at a 5% level of significance. Give each of the following to receive full credit: 1) the appropriate null and alternative hypotheses; 2) the appropriate test; 3) the decision rule; 4) the calculation of the test statistic; and 5) your conclusion including a comparison to alpha or the critical value. You MUST show all your work to receive full credit. Partial credit is available. Baseline 4 weeks 135 136 150 142 143 135 160 158 152 155 143 140 133 128 146 129
Acne is a common skin disease that affects most adolescents and can continue into adulthood. A study compared the effectiveness of three acne treatments and a placebo, all in gel form, applied twice daily for 12 weeks. The study's 517 teenage volunteers were randomly assigned to one of the four treatments. Success was assessed as clear or almost clear skin at the end of the 12 week period. The results of the study can be seen in the table below. Using the appropriate statistical test, determine if there is significant evidence that the four treatments perform differently. If so, how do they compare.
Homechooling has become very popular in the United States, and many colleges try to attract students from this group. Evidence suggests that approximately 90% of all homeschooled children attend college. To check this claim, a random sample of 208 homeschooled children was obtained, and 180 of them were found to have attended college. The researcher wishes to determine whether the proportion of homeschool children who attend college is different from 0.90. Test an appropriate hypothesis and state your conclusion. Make sure to state and check all conditions and state your conclusion in context.
Five years ago 39% of children in a certain region lived with someone other than a parent. A sociologist wishes to test whether the current proportion is different perform the relevent test at 5% level of significance using the following data: in a random sample of 2,750 children, 119 lived with someone other than parent
Dr. Maddan's eye drops are supposed to cause significant reduction is eye redness. The following table shows the results of a recent study where a random sample of individuals took part in a placebo controlled study. No Reduction in Redness Reduction in Redness Total Eye Drops 120 220 340 No Eye Drops Total 120 140 260 240 360 600 With 5% level of significance, determine if eye redness reduction is dependent upon taking the eye drops. Provide, a. the Chi-square statistic. b. the critical value or the p-value. c. Your decision on whether or not to reject Ho.
Research indicates that there may be a relationship between caffeinated coffee consumption and risk of depression in women. Provided is data on the amount of caffeinated coffee consumed and whether the woman was diagnosed with clinical depression. Of interest is to see if there is evidence of an association between caffeinated coffee intake and clinical depression in women. What are the hypotheses? Caffeinated coffee Depression <1 cup/wk >=1 cup/day 2-3 cups/day 4+ cups/day Total Yes 670 1278 564 95 2607 No 11545 22573 11726 2288 48132 Total 12215 23851 12290 2383 50739 A. H0: H0 is not true and there is no association between caffeine intake and depression in women B. There is no association between caffeine intake and depression in women and H0 is not true C. Research indicates that there may be a relationship between caffeinated coffee consumption and risk of depression in women D. H0: There is an association between caffeine intake and…
Suppose you do a small-scale study to find out whether relationship satisfaction is related to relationship status (dating, engaged, or married). You take a random sample of 39 participants, 13 of whom belong to each of the relationship status groups. You ask each participant to rate their level of satisfaction with their relationship on a 1 to 10 scale. You wish to conduct a One-Way ANOVA to test whether the differences between the groups are significant. Initial calculations reveal that the Total Sum of Squares is equal to 136.359, and the Sum of Squares for Treatments is 66.513. Find the value of the F-statistic.

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