Suppose a university wishes to compare the effectiveness of four learning modalities (Face-to-Face,Online, Blended, Course Learning Module) for a particular course. Twenty-four students are randomlyassigned to the learning modalities, with 7, 6, 6 and 5 respectively. At the end of course, a test (out of 50)was given and the performance of the students were recorded as follows:OnlineBlended30CLM25Face-to-Face23202823301535281515182833202523253328402518What statistical test is appropriate for the givendata?Select the correct response.:O One-Way ANOVAone-sample t- testO z-testO two samples t-test

A statistical test is a procedure to find the relationship between defined variables. There are…

Answered: Suppose a university wishes to compare…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.6: Summarizing Categorical Data

Problem 10CYU

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List the sample space of each experiment. Picking a one-digit number
What is a sample space?
A developmental psychologist who wanted to see if children who started walking earlier performed better in the school divided 30 children into 3 groups: early walkers, middle walkers, and late walkers. At the end of second grade, the psychologist computed a composite school performance score based on teachers' reports. Here is the data: Early walkers: M=2.94 (SD=.61) Middle walkers: M=2.84 (SD=.70) Late walkers: M=2.77 (SD=.64) The psychologist ran an ANOVA and found that F(2,27) = .86. What jumps out at you about these results? Were these significant findings? Can you tell just by comparing the means? What number here tells you if there is the significance? You will have to go to the table to find the cutoff score to finish solving this puzzle.....then discuss this problem amongst yourselves. Note: You're not working anything out; you're just looking at the output I have provided.
If you were asked to develop a training program for taxicab drivers, how would you do it? How would you evaluate the program?
To determine the amount of sugar in a typical serving of breakfast cereal, a student randomly selected 60 boxes of different types of cereal from the shelves of a large grocery store. The student noticed that the side panels of some of the cereal boxes showed sugar content based on one-cup servings, while others showed sugar content based on three- quarter-cup servings. Many of the cereal boxes with side panels that showed three-quarter-cup servings were ones that appealed to young children, and the student wondered whether there might be some difference in the sugar content of the cereals that showed different-size servings on their side panels. To investigate the question, the data were separated into two groups. One group consisted of 29 cereals that showed one-cup serving sizes; the other group consisted of 31 cereals that showed three-quarter cup serving sizes. The boxplots shown below display sugar content (in grams) per serving of the cereals for each of the two serving sizes.…
A school psychologist wants to test the effectiveness of a new method of teaching biologybiology. She recruits 500500 firstfirst-grade students and randomly divides them into two groups. Group 1 is taught by means of the new method, while group 2 is taught by traditional methods. The same teacher is assigned to teach both groups. At the end of the year, an achievement test (graded on a scale from 1-10) is administered and the results of the two groups are compared. Complete parts (a) through (i) below.(a) What is the response variable in this experiment? A.The scores on the achievement tests of both group 1 and group 2 B.The students' ability in biologybiology C.The score of group 1 on the achievement test D.The score of group 2 on the achievement test (b) Is the response variable qualitative or quantitative? A.The response variable is quantitative because it is a measurement. B.The response variable is quantitative because it is a characteristic. C.The response variable is…
A marketing firm is tracking the effectiveness of its new Instagram advertising campaign on Californian users. They are measuring 6 different variables to determine how successful the campaign has been. The manager is interested in the following variables: the number of times an account has seen their advertisement (views) and the amount of money spent on the product given the advertisement (sales) was seen. The manager also collected demographic information based on who viewed the advertisement: age (i.e., Baby Boomers, Generation X, Millennials, and Generation Z), gender, ethnicity, and income level (i.e., Low Income and Upper Income). The marketing firm is interested in determining how the different demographic variables affect the number of views and sales of the product. List the variables in this scenario (i.e., 1. ____, 2. ____,..., ).
OpenIntro, the textbook publisher, occasionally experiments with design and link placement on their website. One experiment tested three different placements of a download link for their textbook on the book's main page to see which location, if any, led to the most downloads. The total number of site visitors included in the experiment was 701 and results are tabulated in the following table: Calculate the actual number of site visitors in each of the six response categories. For example, how many people downloaded the textbook when the link was in position 1, etc? Complete an appropriate hypothesis test to check whether there is evidence that there is a higher rate of site visitors clicking on the textbook link in any of the three groups. Downloaded Textbook Did not download textbook Link Position 1 13.80% 18.30% Link Position 2 14.60% 18.50% Link Position 3 12.10% 22.70%
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Twenty-five volunteer athletes participated in a study of cross-disciplinary athletic abilities. The group was comprised of athletes from football, baseball, water polo, volleyball, and soccer. None had ever played organized basketball, but did acknowledge interest and some social participation in the game. Height (inches), weight (pounds), and speed in the 100-yard dash (seconds) were recorded for each subject. The basketball test consisted of the number of field goals that could be made in a 60-min. period. The data are given in Table 8.29. We are interested in predicting GOALMADE using some combination of WEIGHT, HEIGHT, DASH100. QUESTION: What is the unit of measure for the regression coefficient related to HEIGHT? (Hint: Recall, Bheightis a slope)
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