7.Career education Surveys of recent high-school dropouts revealed thatmany of these students saw little connection between what they werestudying in school and their future plans. To change this perception,researchers developed a program called CareerStart, in which teachersshow students how the topics they learn about are used in specific careers.Seven of the 14 schools in Forsyth County, North Carolina, were selectedat random to use CareerStart along with the district's standard curriculum.The other seven schools just followed the standard curriculum.Researchers followed both groups of students for several years, collectingdata on students' attendance, behavior, standardized test scores, level ofengagement in school, and whether or not the students graduated fromhigh school. Results: Students at schools that used CareerStart typicallydid better in each of these areas. Explain why it was necessary to include acontrol of schools that didn't use the CareerStart program.³group50

Given that 7 of the 14 schools in Forsyth County, North Carolina, were selected at random to use…

Answered: 7. Career education Surveys of recent…

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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A local government official observes an increase in the number of individuals with cardiovascular and obesity problems in his barangay. In order to improve the health conditions of his constituents, he aims to promote an easy and cheap way to reduce weight. It is known that obesity results in risk of having illnesses like diabetes and heart problems. He encouraged his constituents to participate in his "Dance for Life" project every weekend for three months. To know if the program is effective in reducing weight, he randomly selected 12 participants from the group who completed the program. The weight loss data, in kilograms, of the 12 randomly selected participants after completing the program, are 0.5, 0.7, 0.9, 1.1, 1.2, 1.3, 1.4, 2.0, 2.3, 2.4, 2.7, 3.0. It is known that the weight loss of those who have completed the dance program follows a normal distribution with variance of 3.24 ??2. a. Construct and interpret a 90% confidence interval for the true mean weight loss of the…
Job Satisfaction. A study reported in the Journal of Small Business Management concluded that selfemployed individuals do not experience higher job satisfaction than individuals who are not selfemployed. In this study, job satisfaction is measured using 18 items, each of which is rated using a Likerttype scale with 1–5 response options ranging from strong agreement to strong disagreement. A higher score on this scale indicates a higher degree of job satisfaction. The sum of the ratings for the 18 items, ranging from 18 to 90, is used as the measure of job satisfaction. Suppose that this approach was used to measure the job satisfaction for lawyers, physical therapists, cabinetmakers, and systems analysts. The results obtained for a sample of 10 individuals from each profession follow. SatisJob Lawyer Physical Therapist Cabinetmaker Systems Analyst 44 55 54 44 42…
A clinical psychologist is interested in determining which type of therapy is in fact more effective at treating depression. The psychologist randomly assigns 1/3rd of the participants to receive cognitive behavioral therapy, 1/3rd to receive the psychodynamic therapy and 1/3rd to receive humanistic therapy. Following the therapy sessions, the psychologist gives the members of each group the Beck Depression Inventory and compares the scores of the three groups. 1 What hypothesis test would be most appropriate for answering this research question and why? 2 If the researcher found that at least one of groups differed, what type of follow-up test would be most appropriate? 3 What are the independent and dependent variables (if any)?
The statistics department at a large Midwestern university is interested in how students feel about their introductory statistics course. They decide to randomly select 60 introductory stats students to give a survey, 10 from both the freshman and sophomore class ranks and 20 from both the junior and senior class ranks. They discover that of the 60 total respondents, 73% have a positive attitude toward intro stats. The proportion of the 60 introductory statistics students surveyed by the statistics department that did have positive attitudes toward intro stats (73%) is called a O a. population parameter O b. residual O c. correlation coefficient O d. sample statistic 3 Stat100 Practice..pdf 7 Writing Prompt 3.docx E Online Syllabus J...pdf E Bios357Schedul.pdf SH OCT1 étv 20 F3 トI A FI F9 F10 F5 F7 F8 F2 F4 %23 2$ & * 2 4. 5 6 7 8 9 Q W E T Y S F G H K しの

Five percent of the customers who visit a website complete a product purchase. If one considers just the set of customers who completed the project purchase at the website, 80% read at least some of the user reviews about the product on the site. When considering those customers who did not purchase of the product at the website, only 20% of these potential customers read the user reviews about the product on the site. The website managers are interested in how customer review-reading behavior affects the likelihood of purchase. A likelihood probability for this problem context is: A. P(Purchase | Visit Site) B. P(Did Not Purchase | Read User Reviews) C. P(Visit Site | Purchase) D. P(Did Not Read User Reviews | Product Purchased) E. None of the answers are correct.
A study was conducted to evaluate how foreign language learning is influenced by instruction methods- immersion vs. memorization. The study used two groups of native English speakers. One group (Group1, with n=9 participants) participated in a course focusing on immersion, while the second group (Group2, with n=10 participants) participated in a course focusing on memorizing words and grammar. Both groups took a language test immediately following the course and their test scores were compared. Group1 had a mean exam score of 70 and the sum of squares SS =72, while Group 2 had a mean exam score of 86 and the sum of squares SS =90. The researcher wants to know if there is a significant difference between the mean exam scores of the two groups. An alpha level of .05 was set by the researcher. What type of t-test should you do? related-samples independent-samples Is the hypothesis directional or non-directional? State the null and alternative hypotheses in…
A high school track coach wanted to test whether giving the students an energy drink could affect performance during the 100 meter race. The coach split the 26 boys into two equal sized groups, where Group 1 was given the energy drink and Group 2 was not. The 100 meter race times were recorded during practice and shown in the table below. What inference can be made about the results? Group 1 Group 2 12.2 13 12.5 12.3 13.3 12.8 12.9 13 13 13.8 12.1 13 13 13 13 13 12.1 13 13 13 12.1 13 12.8 13 13 12.6 Mean: 12.7 Mean: 13 Since the simulation shows ( many cases or free cases )? where a mean difference of ( solve for this answer ) or less occurred when the groups were re-randomized, it can be inferred that the mean difference observed in the study was ( very possibly or very unlikely ) ?due to the random assignment of participants into groups, so the results of the study are (…
Five percent of the customers who visit a website complete a product purchase. If one considers just the set of customers who completed the project purchase at the website, 80% read at least some of the user reviews about the product on the site. When considering those customers who did not purchase of the product at the website, only 20% of these potential customers read the user reviews about the product on the site. The website managers are interested in how customer review-reading behavior affects the likelihood of purchase. Which of the following probability statements are true? P(Read Reviews | Purchase) = 0.040 P(Did Not Purchase | Read Reviews) = 0.726 None of the answers are correct. P(Purchase | Did Not Read Reviews) = 0.040 P(Did Not Read Reviews | Did Not Purchase) = 0.200
An educational psychologist is interested in whether using a child’s own name in a story affected attention span while reading. Six children were randomly assigned to read a story under ordinary conditions (using common and generic names). Five other children read versions of the same story, but with each child’s ownname substituted for one of the children in the story. The researcher measured the amount of time (in minutes) each child spent reading the story. The results are shown in the following table. Does including the child’s namemake any difference in attention span? Test the hypothesis at an alpha set to .05, following these steps: a) write the null and alternative hypotheses; b) determine the critical value(s); c) draw the comparison distribution with rejection region(s) shaded; d)use the correct formula to compute the test statistic; e) state the statistical decision; f) state a brief conclusion.

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