Format Column Variable Name Label Codes Subject's Identification ABCD ID Sex Number N/A X Subject Sex Identified at Birth M= Male; F=Female X Age Age at time of Visit Range 0-100 X BMI Body Mass Index at Visit 0-70 X E Income Annual Income Range 0-10,000; >10,000-30,000; >30,000-50,000; >50,000- 100,00; >100,000 >HS; HS or equivalent; Some College; College or Graduate School F Education Level of Education G Systolic Blood Pressure SBP reading at Visit 0-200 H Employment Diabetes J TV K Physical M Housing N Zipcode Subject Employment Status Self-Reported Diabetes Status Time Spent watching TV per day in hours Time Spent working out per week in hours Housing Status Zip code of Current or Last Residence Unemployed; Employed X X X part-time; full-time employment X Y=Yes; N=No X 0-24 0-168 0=rent; 1=Own; 2-Unhoused; 3=Living with Friends or Family N/A X X X X

Format Column Variable Name Label Codes Subject's Identification ABCD ID Sex Number N/A X Subject Sex Identified at Birth M= Male; F=Female X Age Age at time of Visit Range 0-100 X BMI Body Mass Index at Visit 0-70 X E Income Annual Income Range 0-10,000; >10,000-30,000; >30,000-50,000; >50,000- 100,00; >100,000 >HS; HS or equivalent; Some College; College or Graduate School F Education Level of Education G Systolic Blood Pressure SBP reading at Visit 0-200 H Employment Diabetes J TV K Physical M Housing N Zipcode Subject Employment Status Self-Reported Diabetes Status Time Spent watching TV per day in hours Time Spent working out per week in hours Housing Status Zip code of Current or Last Residence Unemployed; Employed X X X part-time; full-time employment X Y=Yes; N=No X 0-24 0-168 0=rent; 1=Own; 2-Unhoused; 3=Living with Friends or Family N/A X X X X

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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In a large ball pit, 20% of the balls are red. You plan to jump in and randomly select 10 balls. Which statement is true? You are guaranteed to have exactly two red balls in your sample. You will likely have one to three red balls in your sample. You will most likely have eight red balls in your sample. It is unlikely that you will have exactly two red balls in your sample.
Which is the correct null hypothesis based on this statement: People with diabetes have higher systolic blood pressure than people without diabetes? People with diabetes have lower systolic blood pressure than people without diabetes. People with diabetes have equal systolic blood pressure when compared to people without diabetes. People with diabetes have a systolic blood pressure equal to or lower than people without diabetes. None of these are a null hypothesis.
Example 2: Bryan coaches track and field at a local high school and during the previous season he got the impression that his 800m runners performed better when their races were in the morning as opposed to the afternoon. This season, he wanted to determine if his runners in fact performed better in the morning so he recorded all of their times for each race throughout the entire season. The data that he recorded for the morning and afternoon races are shown below. Carry out an appropriate hypothesis test at the a = 0.05 level to determine if his 800m runners performed better in the morning than in the afternoon. Sample Size Standard Deviation Average Morning 38 14 122 Afternoon 54 13 124
Many questions in research can be expressed as two competing statements about the population parameter. These two statements are called the null and the alternative hypotheses. Usually, the researcher hopes the sample evidence will be in favor of the alternative hypothesis, the new theory. It is important to be able to state the theories that are being put to a test. Write out the hypotheses to be put to the test and define the parameter of interest in context of the problem. Do a minority of Michigan residents clear snow from sidewalks before 9 am after snow has fallen?For this scenario, write out the hypotheses to be put to the test and define the parameter of interest in context of the problem. H0:Ha: The parameter p represents ___(provide appropriate definition in context)________
Students in a university's physics lab courses are expected to report types and explanations for error in their lab reports. There are generally two types of errors that students report: random, those caused by unknown or unpredictable error in the experiment, and systematic, those that come from errors in the measuring instruments. Students sometimes mistakenly include errors in reading an instrument or errors in calculation as systematic errors. Physics professors suspect that less experienced students may report systematic lab errors differently than more experienced students do, so they sampled lab reports of n1 = 120 first-year physics students and n2 = 76 second- and third-year (combined) physics students to compare the ratios of reported systematic errors in their lab reports with the following results. 71 first-year students reported systematic lab errors in their reports. 47 second- and third-year students reported systematic lab errors in their reports. (a) Define the…
Suppose that you are considering whether to publish a weekly alternative newspaper on campus. You decide to survey a random sample of students on your campus to ask if they would be likely to read such a newspaper. Your plan is to proceed with publication only if the sample data provide strong evidence that more than 10% of all students on your campus would be likely to read such a newspaper. The parameter of interest is the proportion of all students who would likely read an alternative campus newspaper. The null hypothesis = 0.10 and the alternative hypothesis is greater (>) than 0.10. -What is power in the context of this problem?
A music student wants to know if taking a difficult math course will improve his musical ability. Which of these is the null hypothesis? The student's math scores will improve. There will be no change in math scores. There will be no change in musical ability. The student's musical ability will improve.
The following table contains the number of successes and failures for three categories of a variable. Test whether the proportions are equal for each category at the α=0.1 level of significance. Category 1 Category 2 Category 3 Failures 32 51 57 Successes 39 54 73 State the hypotheses. Choose the correct answer below. A. H0: The categories of the variable and success and failure are independent. H1: The categories of the variable and success and failure are dependent. B. H0: The categories of the variable and success and failure are dependent. H1: The categories of the variable and success and failure are independent. C. H0: p1=p2=p3 H1: At least one of the proportions is different from the others. D. H0: μ1=E1 and μ2=E2 and μ3=E3 H1: At least one mean is different from what is expected. What is the P-value? nothing (Round to three decimal places as needed.) What conclusion can be…
A decade-old study found that the proportion of high school seniors who felt that "getting rich" was an important personal goal was 66%. Suppose that we have reason to believe that this proportion has changed, and we wish to carry out a hypothesis test to see if our belief can be supported. State the null hypothesis H 00 and the alternative hypothesis H, that we would use for this test. H, :0 H, :0
An apartment management company wants to explore the consequences of allowing residents to have multiple dogs. They would like to find out whether the number of dogs predicts resident ratings. They would also like to control for the year the apartment complex was built because thaty might also affect the resident rating. They have collected data on several of their existing complexes. For each complex, they have counted the number of dogs currently living in the complex, the year the complex was built, and the average rating for that particular complex. They would like to perform a multiple regression on these variables to predict resident ratings. See data below. These data are the same as the previous question. Multiple Dog Consequences Number of dogs Year of facility Rating (out of 5) 54 1975 2 31 1964 3.5 0 2015 4.8 11 2011 3.8 73 1964 2.3 23 2016 3.7 0 2015 4.7 49 1989 2.7 What is the b coefficient for Number of Dogs? Round to 3 decimal places.
Suppose that a new Internet company Mumble.com requires all employees to take a drug test. Mumble.com can afford only the inexpensive drug test—the onewith a 5% false-positive rate and a 10% false-negativerate. (That means that 5% of those who are not usingdrugs will incorrectly test positive and that 10% of thosewho are actually using drugs will test negative.) Supposethat 10% of those who work for Mumble.com are usingthe drugs for which Mumble is checking. (Hint: It maybe helpful to draw a tree diagram to answer the questionsthat follow.)a. If one employee is chosen at random, what is theprobability that the employee both uses drugs and testspositive?b. If one employee is chosen at random, what is theprobability that the employee does not use drugs buttests positive anyway?c. If one employee is chosen at random, what is the probability that the employee tests positive?d. If we know that a randomly chosen employee has testedpositive, what is the probability that he or she usesdrugs?
The researcher receives funding to also study disease Y and finds the following: disease Y death rate per 100,000 for ME is 72 and for NE is 45. Which of the following is the true statement? The researcher receives funding to also study disease Y and finds the following: disease Y death rate per 100,000 for ME is 72 and for NE is 45. Which of the following is the true statement? Meat - eating seems to be more causally related to Disease Y than Disease The etiologic fraction ( attributable fraction) of Disease Y is 1.6 The population etiologic fraction (population attributable fraction) of Disease Y is 67%. None of the above