The resumes of two male applicants for a college teaching position in Engineering Data Analysis areplaced in the same file as the resumes of two female applicants. Two positions become available, andthe first, at the rank of assistant professor, is filled by selecting one of the four applicants at random.The second position, at the rank of instructor, is then filled by selecting at random one of theremaining three applicants. Using the notation M,F,, for example, to denote the simple event that thefirst position is filled by the second male applicant and the second position is then filled by the firstfemale applicant. Find the probability that the asst. prof position is filled by a male applicant or neitherposition was filled by a male applicant.O 1/6O 1/2O 2/3O 1/3

Given Information: The resumes of two male applicants are placed in the same file as the resumes of…

Answered: The resumes of two male applicants for…

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 study of high school students at least 16 years of age, researchers obtained the survey results summarized in the table below (based on data from “Texting While Driving and Other Risk Motor Vehicle Behaviors Among U.S. High School Students” by O’Malley, Shults, and Eaton, Pediatrics, 131, No.6). Irregular Seat Belt Use? Yes No RT Texted While Driving 1737 2048 3785 Did not Text While Driving 1945 2775 4720 Column total 3682 4823 8505 State the null and alternative hypotheses. Null hypothesis: H0 Texting when driving is independent of irregular seat belt use. Alternative hypothesis: Texting when driving is dependent of irregular seat belt use. Assuming independence, what are the expected frequencies for each of these variables? E=(row total)(column total) (grand total) What is the value of the X2 statistic? X2=E(0-E)2…
A teacher believes that students who study more than four hours for her tests will do better than students who do not study for her tests. To test this belief, the teacher recruited 16 students and randomly assigned them to two groups: G1: a group of n1=8 students that studied more than four hours for her test, and G2: a group of n2=8 students that did not study for her test. The following are the data from G1, who studied more than four hours for the test: n1=8 M1=85 s1=5 (this is the standard deviation of the sample, dividing the sum of squares by n1) The following are the data from G2, who did not study for the test: n2=8 M2=75 s2=4 (this is the standard deviation of the sample, dividing the sum of squares by n2) Perform a t-test by answering the questions below. Use an alpha-level of α=.05. 0. Using formulas from Section 4, compute the estimates of the population variances, est. σ12 and est. σ22 (from s1 and s2 above). 1. What is the research…
Given a set ofn distinct data pairs, exactly how many interpolating polynomials can be found to pass through these points? Select one: а. n b. n-1 С. 1 d. 0
A survey was conducted in 1990 asking American high school students to name their favorite subject in school. This survey found that, in 1990, the following proportions of students named each subject as their favorite: 30% History, 25% Math, 20% English, 15% Biology, 10% Chemistry. A researcher in the year 2020 conducts an identical survey, in order to see if students’ favorite subjects have shifted over the 30 years that have passed since the 1990 study was done. The researcher gives the survey to n=60 high school students, and gets the following observed frequencies and expected frequencies. FREQUENCY History Math English Biology Chemistry TOTAL fo 20 18 10 5 7 60 fe (.30)(60) = 18 (.25)(60) = 15 (.20)(60) = 12 (.15)(60) = 9 (.10)(60) = 6 60 QUESTION 1: Are the proportions on this problem from an assumption of all equal, or from past research?
. A survey was conducted in respect of marital status and success in examination. Out of 2,000 persons who appeared for an examination, 80% of them were boys, and the rest were girls. Among 300 married boys 140 were successful. 1100 boys were successful among unmarried boys. In respect of 100 married girls 40 were successful, 200 unmarried girls were successful. Construct two separate nine-square tables, and find out the Yule's Coefficient of Association to discuss the association between marita! and passing of examination,
The manager of a local record store is interested in the effectiveness of an advertisingcampaign on sales. They randomly select 10 popular CDs (all in the Billboard top 100),and place an ad in the local school newspaper saying that the store has these (and more)in stock. They measure the sales of these 10 CDs for 1 week prior to the ad, and then for1 week after the ad. The number of CDs sold each week is presented below. Was there anincrease in the number of CDs sold after the ad? Conduct a 6-step hypothesis test.CD Numbersold beforeadNumbersold after adA 25 32B 18 24C 3 7D 42 40E 16 19F 20 25G 23 23H 32 35I 60 65J 40 43 Please solve using 6 steps hypothesis and solve in excel
Question 3 To compare three brands of computer keyboards, 4 data entry specialists were randomly selected. Each specialist used all three keyboards to enter the same kind of text material for 10 minutes, and the number of words entered per minute was recorded. SST, SSB, and SSE can be calculated to be 392.6667, 143.5833, and 2.6667, respectively. When you make a pairwise comparison between Brand A and Brand B, what is 95% Tukey Confidence interval? (Consider tables below) Keyboard Brand Specialist A B C 1 177 67 63 2 71 62 59 3 74 63 59 67 57 54 Summary Count Sum Average Variance 3 207 69 52 3 192 64 39 3 196 65,33333 60,33333| 3 178 59,33333 46,33333 14 289 72,25 18,25 249 62,25 16,91667 235 58,75 13,58333 df MS F P-value F critical SS 143,5833 3 47,86111 107,6875 1,32E-05 4,757063 392,66672 196,3333 441,75 3,07E-07 5,143253 2,6666676 0,444444 538,9167 11 4 1 2 3 14 A B C ANOVA Source of Variation Specialist Brand Error Total 4 4
Set A: n = 5; x = 10Set B: n = 50; x = 10(a) Suppose the number 32 is included as an additional data value in Set A. Compute x for the new data set. To compute x for the new data set, add 32 to x of the original data set and divide by 6. (Round your answer to two decimal places.) b.) Suppose the number 32 is included as an additional data value in Set B. Compute x for the new data set. (Round your answer to two decimal places.)
A researcher is interested in the affects that a person’s avatar (i.e. visual representation of oneself) has on the number of profile views on Facebook.com. The average number of individual personal profile views is known to be 230 views per day (excluding bands, artists, etc.). The researcher creates 36 fictitious profiles that contain roughly the same information but the picture (avatar) is an animated .gif of a smiling face (36 faces randomly selected from a compilation of faces judged to be of average attractiveness). The results showed that of the 36 profiles the average number of views was 250 with a standard deviation of 60. Test the hypothesis that the average number of views for a smiling face gif is significantly different than the usual number of personal profile views.
The table shows the leading causes of death in a certain country in a recent year. The population of the country was 311311 million. If you lived in a typical city of 500,000, how many people would you expect to die of cancercancer each year? Cause Deaths Cause Deaths Heart disease 596 comma 700596,700 Alzheimer's disease 84 comma 90084,900 Cancer 575 comma 300575,300 Diabetes 73 comma 40073,400 Chronic respiratory diseases 143 comma 100143,100 Pneumonia/Influenza 53 comma 40053,400 Stroke 128 comma 600128,600 Kidney disease 45 comma 30045,300 Accidents 122 comma 500122,500 Suicide 38 comma 60038,600 About people would be expected to die of cancer each year. (Type a whole number. Round to the nearest person as needed.)
A researcher is interested in the relationship between birth order and personality (outgoing versus reserved). A sample of n = 100 people is obtained, all of whom grew up in families as one of three children. Each person is given a personality test, and the researcher also records the person’s birth-order position (1st born, 2nd, or 3rd). The frequencies from this study are shown in the following table. On the basis of these data, can the researcher conclude that there is a significant relation between birth order and personality? Test at the .05 level of significance. 1st 2nd 3rd Outgoing 13 31 16 Reserved 17 19 4
21 subpart a

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