Which of the following statements is true?Select one:O a. A factorial design is used when researchers are interested in the interaction effects between multipleindependent variables.O b. In a 2 x 2 factorial design, there are 4 independent variables.O c. In a higher-level factorial design, the first independent variable is always within-subjects.O d. None of the choicesO e. In a 3 x 2 x 2 factorial design, there are 3 possible interactions in total.

option b ) In a 2 x 2 factorial design , there are 2 independent variables . ( not 4 ) so, false…

Answered: Which of the following statements is…

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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The P&G marketing team has created two potential slogans for the new Smile toothpaste. The uplifting slogan is, “Smile when you buy Smile!”. The serious slogan is, “Buy Smile to keep your smile.” Before deciding which slogan to use, the marketing team runs an experiment to see how individuals respond to these two slogans. The marketing team recruits 46 people to participate in this experiment, randomly assigning 24 participants to read the uplifting slogan and 22 participants to read the serious slogan. After reading the slogans, all participants rate how likely they are to buy the new Smile toothpaste on a scale from 1 (definitely will NOT purchase) to 10 (definitely will purchase). The group of participants who read the uplifting slogan has a mean score of 6.67, with a sum of squares of 323. The group of participants who read the serious slogan has a mean score of 4.77, with a sum of squares of 221. Do participants who read the uplifting slogan versus the serious slogan differ…
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Determine which evaluation guideline(s) apply in questioning the results of the described study.A mathematics teacher wanted to determine whether assigning homework had a beneficial effect on student learning in first year algebra. His class met at 8:00 in the morning and he obtained the cooperation of another teacher of the same class that met at 2:00 in the afternoon. He gave his class no homework while the other teacher continued to assign homework as he usually did. Both teachers gave the same tests so that they could compare the results.A) Consider possible confounding variablesB) Consider the sampleC) Consider the measurement of the variable of interestD) All of the above
2. A researcher wants to determine which of three advertisements is most likely to encourage teens not to smoke. To assess the impact of each advertisement, she asks a sample of teenagers to view each ad and to rate the ad's effectiveness on a scale of 1 (not at all effective) to 7 (very effective). One ad used words only (no-cues condition), a second ad used a generic abstract picture (generic-cues condition), and a third showed a picture of a teen smoking and coughing (smoking-related cues condition). Fully test the question (5 steps) and determine the effect size. Participant ABCDEFG No Cues 2 3 1 4 4 5 2 T = 21 SS = 12 Generic Cues 5 5 4 5 3 4 2 T1 = 28 SS=8 Smoking- Related Cue 5 6 5 7 6 7 6 T2 = 42 SS = 4 P G = 91 ΣΧ2 = 451
I NEED THE ANSWER TO THE "NUMBER OF DUMMY VARIABLES" A manager of a local package delivery store believes that too many of the packages were damaged or lost. She extracts a sample of 75 packages with the following variables: the package number (Package), the status of the package (Status: Delivered, Damaged, or Lost), the delivery type (Delivery: Standard, Express, or Same day), and the size of the package (Size: S, M, L, and XL). A portion of the data is shown in the accompanying table. Package Status Delivery Size 1 Damaged Standard M 2 Lost Express L ⋮ ⋮ ⋮ ⋮ 75 Damaged Same day M a)Transform the Delivery variable into dummy variables. Use the most frequent category as the reference category. How many dummy variables should be created? Which category of Delivery is the reference category? Number of dummy variables: ???? Reference Category: Standard Package Status Delivery Size 1 Damaged Standard M 2 Lost Express L 3 Lost Standard S 4 Delivered…
Fast-food restaurants may be able to decrease yearly expenses simply by decreasing the size of the paper napkins they provide to patrons. Papel Paper Products is considering pitching the smaller-napkin idea to potential restaurant clients. To determine the receptiveness of different restaurants to the idea, Papel surveyed 400 fast-food establishments chosen at random, and looked at the data according to two variables: type of fast-food restaurant ("burger/sandwich", "Chinese/Mexican", or "other") and attitude toward the smaller-napkin idea ("receptive" or "not receptive.") The data are summarized in the contingency table below. Each of the 6 cells of the table contains three numbers: the first number is the observed cell frequency (f); the second number is the expected cell frequency (f) under the assumption that the two variables type of fast-food restaurant and attitude toward the smaller-napkin idea are not associated; and the third number is the following value. (fo-ƒE)² JE…
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 doctor wanted to study the effect of four different treatments on mental health. A group of 100 adults experiencing depression volunteered for the study. The doctor randomly assigned one-fourth of them to each of four groups. Group 1 followed a specific exercise plan, group 2 followed a specific diet plan, group 3 followed an exercise and diet plan, and group 4 did not follow any plan. After 4 weeks, the doctor contacted each participant and asked them if they felt any better. The results are displayed in the table. The doctor would like to know if these data provide convincing evidence that the distribution of responses differs across the treatment groups in the population of all patients like these. The random condition is met. The 10% condition is not needed because random sampling did not take place. This table of expected counts shows that all expected counts are at least 5. What is the value of the chi-square test statistic? χ‑2 = 5.03 χ‑2 = 6.26 χ‑2 = 25.33 χ‑2 = 39.22

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