TABLE 2.5Student teachers are trained to develop lesson plans, on the assumption that the writ-ten plan will help them to perform successfully in the classroom. In a study to assessthe relationship between written lesson plans and their implementation in the class-room, 25 lesson plans were scored on a scale of 0 to 34 according to a Lesson PlanAssessment Checklist. The 25 scores are shown in Table 2.5. Use Tchebysheff's The-orem and the Empirical Rule (if applicable) to describe the distribution of theseassessment scores.Lesson Plan Assessment Scores26.1 26.0 14.5 29.3 19.722.1 21.2 26.6 31.9 25.015.9 20.8 20.2 17.8 13.325.6 26.5 15.7 22.1 13.829.0 21.3 23.5 22.1 10.2

Answered: Image /qna-images/answer/caa92f8b-aba6-4c85-923f-10242b8f8207.jpg

Answered: TABLE 2.5 Student teachers are trained…

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 study took one hundred 55-year-old males and divided them into two groups. The first group was given one-on-one financial planning training once per week for 3 months. The second group was given an online training once per week for 3 months. At the end of the study, both groups were given examinations to determine how much of the training was remembered and the results were compared. What type of research method is this? O an observational study O a census O a survey O an experiment
At a single high-end restaurant in England over a 3-week period, there were 141 tables of diners. During the first week, current pop music was played. During the second week, classical music was played. During the third week, no music was played. The results of spending patterns were as follows: Music Mean bill n Classical 24.130 44 2.243 Pop 21.912 49 2.627 None 21.697 48 3.332 Total 22.531 141 2.969 a) By considering the standard deviations, explain why it is appropriate to perform a one-way ANOVA test on this data. b) State the null and alternate hypothesis. c) Perform a one-way ANOVA test by hand. d) Perform a TK Multiple Comparisons Test to determine which means are different with 95% confidence and report your result.
A guidance counselor is interested in how student motivation changes across time. She gives sixteen 8th grade students the Student Academic Motivation scale, and then gives it to them again as high school juniors. O independent-measures t O repeated-measures t O Kruskal-Wallace H O chi-square for independence
Last fall a college installed a new email system and conducted a series of training sessions to teach students and staff how to use the system. In the spring semester, the college used a survey to determine the level of satisfaction with the new system. In addition to measuring satisfaction, the survey asked whether or not each individual had attended a training session. The results of the survey are as follows: VERY SATISFIED SOMEWHAT SATISFIED SOMEWHAT DISSATISFIED VERY DISSATISFIED ATTENDED TRAINING 15 35 5 5 DID NOT ATTEND 5 45 35 15 In doing a chi-square test to determine if a person's level of satisfaction depends on whether they attended the training, what is the expected frequency for people who attended the training and are "somewhat satisfied" with the system? a) 25 b) 30 c) 35 d) 40
Using data from a survey to Stat 201 students, a decision tree can help analyze whether or not a student is likely to have cheated in college. Use the following JMP output to answer several questions. Variable definitions: Q60 - Friend with Parents: Are you "friends" on Facebook with one or more of your parents? Q43 - Weekly Texts: On a typical school day last semester, approximately how many text messages would you send during class (while you were attending class)? Q29 - Smoked Weed: Have you ever smoked marijuana? Using the Decision Tree output, what percent of students who have smoked marijuana have cheated in college? Enter one decimal place in percent (ex. 23.4). OPartition for Cheated in College Split Prune Number RSquare N of Splits 0.063 806 3 All Rows Count G^2 LogWorth 806 858.59351 6.4857542 Q29 - Smoked Weed(Yes) Q29 - Smoked Weed(No) Count G^2 LogWorth 452 544.20179 4.2698915 Count G^2 LogWorth 354 288.30707 2.0449453 060 - Friend with Parent(Yes) P060 - Friend with…
Mandrake Falls High School is providing a weekend course in laboratory techniques to its laboratory students. Of the 200 students enrolled in lab classes at Mandrake, 75 have taken the weekend course. Mandrake is evaluating the course's effectiveness by having its lab instructors record harmful lab "incidents": accidents, misuse of lab equipment, etc. The contingency table below gives a summary of the data that have been gathered so far for Mandrake's 200 lab students. Each student is classified according to two variables: status regarding lab techniques course ("Took the course" or "Didn't take the course") and laboratory performance ("Involved in no incident", "Involved in exactly one incident", or "Involved in 2+ incidents"). In the cells of the table are the respective observed frequencies. Note that three of the cells also have blanks. Fill in these blanks with the frequencies expected if the two variables, status regarding lab techniques course and laboratory performance, are…
In a survey, respondents were asked to disclose their political affiliation (Democrat, Independent, Republican) and also answer the question "Would you be willing to pay higher taxes if the tax revenue went directly toward deficit reduction?" Create a contingency table and determine whether the results suggest there is an association between political affiliation and willingness to pay higher taxes to directly reduce the federal debt. Use the a= 0.05 level of significance. Click the icon to view the results of the survey. Construct a contingency table. Democrat Independent Republican Willing to pay higher taxes? Yes. No 9 7 6 3 11 14
ReAb. a question can influence eyewitness memory. In the study, college students watched a film of ap automobile accident and then were asked questions about what they saw. One group was asked, "About how fast were the cars going when they smashed into each other?" Another group was asked the same question except the verb was changed to "hit" in- stead of "smashed into." The "smashed into" group reported significantly higher estimates of speed than the "hit" group. Suppose a researcher repeats this study with a sample of today's college students and obtains the following results. Estimated Speed Smashed into Hit n 15 n = 15 M = 40.8 M = 34.0 SS = 510 SS = 414 a. Do the results indicate a significantly higher esti- mated speed for the "smashed into" group? Use a one-tailed test with a = .01. b. Compute the estimated value for Cohen's d to measure the size of the effect. the hypothesis test and the measure of effect size would appear in a research report. nort higher 18. In and a classic
Kindly assist with creating bar charts, or pie charts for the below results; Housekeeping respondents were questioned about their observations regarding changes or improvements in gender diversity over recent months or years. All respondents (100%) acknowledged witnessing recent promotions between both genders within Housekeeping and other departments. Similarly, 80% of Guest Services department respondents shared similar observations. Conversely, 75% of respondents from the food and beverage department indicated that they have not observed any changes or improvements in gender diversity, particularly within their own department.
One strategy that may have an impact on employee retention, turnover and engagement is a successful employee recognition program. Surveying small organizations, those with 500 to 2,499 employees, and large organizations, those with10,000 or more employees, a survey organization showed that 323 (78%) of the 414 small organizations have employee retention programs as compared to 171 (87%) of the 196 large organizations. a. Determine the zstat, and the p-value. b.Determine the critical values and a conclusion c. Construct a 95% confidence interval estimate of the difference between the two population proportions.
Using data from a survey to Stat 201 students, a decision tree can help analyze whether or not a student is likely to have cheated in college. Use the following JMP output to answer several questions. Variable definitions: Q60 - Friend with Parents: Are you "friends" on Facebook with one or more of your parents? Q43 - Weekly Texts: On a typical school day last semester, approximately how many text messages would you send during class (while you were attending class)? Q29 - Smoked Weed: Have you ever smoked marijuana? Using the Decision Tree output, What is the value for RSquare? Enter your value with 3 decimal places (e.g. 0.201) OPartition for Cheated in College Split Prune Number RSquare N of Splits 0.063 806 3 All Rows Count G^2 LogWorth 806 858.59351 6.4857542 Q29 - Smoked Weed(Yes) Q29 - Smoked Weed(No) Count G^2 LogWorth Count G^2 LogWorth 452 544.20179 4.2698915 354 288.30707 2.0449453 Q60 - Friend with Parent(Yes) CQ60 - Friend with Parent(No) Q43 - Weekly Texts>=50 043 -…
esearch Study: The following data collected lists the typing speed as measured by a standard typing test for 12 college students, along with the number of pages they had to type for their project.Instructions: Use the data collected to compute the values listed in Table#1. Use .05 significance. Each correct answer is worth one point. Hint: follow the steps reviewed in your Chapter 14 videos, formulas, F ratio Table and activity sheet. Data Collected: Student Number of pages typed Y Typing speed X Chris 37 73 Mary 6 24 Paul 12 36 Juan 24 72 Marcelo 16 50 Olga 7 19 Norma 22 49 Robert 4 6 Sandra 34 48 Jason 32 59 Kevin 17 38 Lisa 8 16 Table #1 Compute and report these values SP r r2 ∑x ∑y ∑xy SSx SSy a b Regression Equation Standard error of estimate SS residual…

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