The article "Analysis of Unwanted Fire Alarm: Case Study" (W. Chow, N. Fong, and C.Ho, Journal of Architectural Engineering, 1999:62–65) presents a count of the number offalse alarms at several sites. The numbers of false alarms each month, divided into thosewith known causes and those with unknown causes, are given in the following table. Canyou conclude that the proportion of false alarms whose cause is known differs from monthto month?Month1 2 37 8 9 10 11 124 5620 13 21 26 23 18 14 10 20 20 18 14Unknown 12 2 16 12 22 30 32 32 14 16 10 12Known

Answered: Image /qna-images/answer/24656681-ad5d-45d3-b3be-7eec5e369402.jpg

Answered: The article "Analysis of Unwanted Fire…

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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Listed below are the lead concentrations in different Ayurveda medicines. Ayurveda is a traditional medical system commonly used in India. The lead concentrations listed here are from medicines manufactured in the United States. Use a significance level to test the claim that the mean lead concentration for all such medicines is less than 14. 3.0,6.5,6.0,5.5,20.5,7.5,12.0,20.5,11.5,17.5
Several methods of estimating the number of seeds in soil samples have been developed by ecologists. An article gave the accompanying data on the number of seeds detected by the direct method and by the stratified method for 27 soil specimens. Specimen Direct Stratified 1 21 7 2 34 38 3 0 7 4 60 58 5 20 54 6 61 61 7 40 27 8 7 7 9 14 7 10 94 100 11 1 0 12 67 58 13 78 67 14 21 54 Specimen Direct Stratified 15 34 27 16 0 0 17 38 38 18 18 14 19 94 94 20 1 14 21 40 47 22 21 21 23 0 0 24 7 14 25 14 40 26 18 14 27 40 78 Do the data provide sufficient evidence to conclude that the mean number of seeds detected differs for the two methods? Test the relevant hypotheses using ? = 0.05. (Use ?direct − ?stratified.) Find the test statistic. (Round your answer to two decimal places.) t = Find the df. (Round your answer down to the nearest whole number.) df = Use technology to find the P-value. (Round your answer to four…
2) Consider the following data from a hypothetical case control study examining the relationship between tanning bed use in young adulthood and risk of melanoma Cases 688 196 History of Tanning Bed Use Yes No Controls 288 864 a) Name the appropriate measure of association for estimating the relative risk of melanoma, comparing tanning bed users (exposed) to nonusers (reference category). Calculate this measure and provide a brief interpretation of your answer b) Assume that this relationship is causal. Among young people who use tanning beds, what proportion of melanoma risk could be eliminated by banning tanning bed use in young adults? c) If 4% of all young adults use tanning beds, what proportion of melanoma risk could be eliminated from the overall general population by banning the use of tanning beds in young adults?
When using analysis of variance , the calculated F statistic will decrease as A) the variability among the groups decreases relative to the variability within the groups.B) the total variability increases.C) the total variability decreases.D) the variability among the groups increases relative to the variability within the groups.
A random sample of 50 CSCC students are surveyed to determine what percent of our students are first-generation college students. The results showed that 16 of the students identify as first-generation college students. show your work What is the sample proportion of first-generation college students at CSCC? Is this an example of a parameter or a statistic? Explain.
The serum cholesterol levels (in 244, 235, 249, 237, 228, 220, 201, 259, 191, 198, 240, 196, 222, 252, 203, 211, 215, 254 Send data to calculator (a) mg th Find 30 and 75th percentiles for these cholesterol levels. (b) dL (If necessary, consult a list of formulas.) The 30th percentile: -) of 18 individuals are The 75th percentile: mg dL mg dL
A special bumper was installed on selected vehicles in a large fleet. The dollar cost of body repairs was recorded for all vehicles that were involved in accidents over a 1-year period. Those with the special bumper are the test group and the other vehicles are the control group, shown below. Each "repair incident" is defined as an invoice (which might include more than one separate type of damage). Statistic Test Group Control Group Mean Damage X⎯⎯⎯1X¯1 = $ 1,245 X⎯⎯⎯2X¯2 = $ 1,790 Sample Std. Dev. s1 = $ 721 s2 = $ 835 Repair Incidents n1 = 17 n2 = 14 Source: Unpublished study by Thomas W. Lauer and Floyd G. Willoughby. (a) Construct a 99 percent confidence interval for the true difference of the means assuming equal variances. (Round your final answers to 3 decimal places. Negative values should be indicated by a minus sign.) The 99% confidence interval is from to (b) Repeat part (a), using the assumption of unequal variances with Welch's…
A certain virus affects 0.7% of the population. A test used to detect the virus in a person is positive 87% of the time if the person has the virus (true positive) and 14% of the time if the person does not have the virus (false positive). Fill out the remainder of the following table and use it to answer the two questions below based on a total sample of 100,000 people. Virus No Virus TotalPositive Test Negative Test Total 100,000a) Find the probability that a person has the virus given that they have tested positive. Round your answer to the nearest hundredth of a percent and do not include a percent sign. % b) Find the probability that a person does not have the virus given that they test negative. Round your answer to the nearest hundredth of a percent and do not include a percent sign. %
5t. A magazine reports that women trust recommendations from a particular social networking site more than recommendations from any other social network platform. But does trust in this social networking site differ by gender? The following sample data show the number of women and men who stated in a recent sample that they trust recommendations made on this particular social networking site. Women Men Sample 150 170 Trust RecommendationsMade on the social networking site 111 102 (a) What is the point estimate of the proportion of women who trust recommendations made on this particular social networking site? (b) What is the point estimate of the proportion of men who trust recommendations made on this particular social networking site? (c) Provide a 95% confidence interval estimate of the difference between the proportion of women and men who trust recommendations made on this particular social networking site. (Round your answers to four decimal places.)
What is the base rate(or prevalence in medical literature) and sensitivity(the percentage of individuals with a disease who are correctly classified as having the disease?)
Case scenario: A cohort study involved an assessment of the relationship between cigarette smoking and incuof lung cancer. For cigarette smokers, the lung cancer incidence rate was Iexp = 200 per 100,000. For nonsmokers, the lung cancer incidence rate was Iunexp = 25 per 100,000. The lung cancer incidence rate in the entire population was Itotal = 100 per 100,000. A) what is the relative risk (risk ratio) of developing lung cancer? Interpret this value in plain language? B) calculate the attributable risk and interpret this value in plain language? C) calculate the attributable-risk percent and interpret this value in plain language? D) is cigarette smoking a risk factor for lung cancer? Explain your answer. E) Hypothetically speaking, if cigarette smoking could be eliminated from this population, what percentage of lung cancer could be avoided?
In January 2013, a poll by ABC News indicated that Obama's popularity had reached a three-year high. Suppose the relative frequency of occurrence of each response, grouped by sex, is given in the following table. Rating Excellent Very Good Good Fair Poor Answer: Women Men Relative Relative Frequency Frequency 0.184 ≈ 0.23 unknown 0.25 unknown unknown 0.225 unknown ≈ 0.167 0.103 Assume • the proportion of men's responses rated as either Very Good or Good is 0.488, • the proportion of women's responses rated as either Good or Fair is .353, • the proportion of men's responses rated as Good is≈ 93.6% larger than the proportion of women's responses the same (relative to the women's one), and • the proportion of men's responses rated as Very Good is 14.58% larger than the proportion of women's responses rated as Fair (relative to the women's one.) What proportion of women's responses is rated as Good? (Type your final answer in decimal form (rounded to the nearest hundredth), like 0.36. DO…

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