2. Two-factor ANOVA - Emphasis on calculationsW. Thomas Boyce, a professor and pediatrician at the University of British Columbia, Vancouver, has studied interactions between individual differencesin physiology and differences in experience in determining health and well-being. Dr. Boyce found that some children are more sensitive to theirenvironments. They do exceptionally well when the environment is supportive but are much more likely to have mental and physical health problemswhen the environment has challenges.You decide to do a similar study, conducting a factorial experiment to test the effectiveness of one environmental factor and one physiological factoron a physical health outcome. As the environmental factor, you choose two levels of oral hygiene. As the physiological factor, you choose three levelsof cortisol value. The outcome is number of cavities, and the research participants are kindergartners.You conduct a two-factor ANOVA on the data. The two-factor ANOVA involves several hypothesis tests. Which of the following are null hypotheses thatyou could use this ANOVA to test? Check all that apply.O Cortisol value has no effect on number of cavities.There is no interaction between oral hygiene and cortisol value.O The effect of oral hygiene on number of cavities is no different from the effect of cortisol value.O Oral hygiene has no effect on number of cavities.The results of your study are summarized by the corresponding sample means below. Each cell reports the average number of cavities for 5kindergartners. The results of your study are summarized by the corresponding sample means below. Each cell reports the average number of cavities for 5kindergartners.Factor A: Oral HygieneLowHighFactor B: Cortisol ValueLowMediumM = 2.20M = 2.60T = 11T = 13SS = 0.8SS = 1.2M = 1.40T = 7SS = 1.2TCOL1 = 18M = 1.80T = 9SS = 0.8TCOL2 = 22HighM = 1.80T = 9SS = 0.8M = 1.20T = 6SS = 0.8TCOL3 = 15TROW1 = 33TROW2 = 22ΣΧ2 = 113You perform an ANOVA to test that there are no main effects of factor A, no main effects of factor B, and no interaction between factors A and B.Some of the results are presented in the following ANOVA table.

A researcher conducted a factorial experiment to test the effectiveness of one environmental factor…

Answered: W. Thomas Boyce, a professor and…

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 clinical psychologist is interested in the effect of a new treatment for treating depression. She randomly divides her clients into two groups. One group receives the new treatment and the other group receives the old treatment (control group). At the end of treatment, she assesses the severity of their depression on a scale ranging from 0 to 20 (higher scores indicate greater depression). Was there a significant difference in depression scores between the two treatments? New Treatment Old Treatment 2 7 5 10 3 6 8 8 11 4 4 8 6 10 4 4
In the early 1970s, a young man challenged an Oklahoma state law that prohibited the sale of 3.2% beer to males under age 21 but allowed its sale to females in the same age group. The case (Craig v. Boren, 429 U.S. 190, 1976) was ultimately heard by the U.S. Supreme Court. The state of Oklahoma argued that the law improved traffic safety. One of the three main pieces of data presented to the court was the result of a “random roadside survey.” This survey gathered information on gender and whether or not the driver had been drinking alcohol in the previous 2 hours. A total of 619 drivers under 21 years of age were included in the survey. The chi-square test statistic is approximately 1.64 for this data. Find the P-value State a conclusion at a 5% level of significance. Do you think that the data supports the Oklahoma law that forbids sale of 3.2% beer to males and permits it to females? See image.
You want to compare males and females in their use of coping strategies when engaged in conflict in relationships. You send surveys to couples obtained from marriage license application at the county clerk's office. You identify several distinct coping strategies on the survey and have the respondents rate their use of each strategy on a 7-point scale. You then compare scores that come from the two members of each relationship. If testing hypotheses about the effects of gender on use of coping strategies, it would be most appropriate to calculate a ... 1) independent-samples t 2) one sample t 3) paired samples t 4) z test
In an early study of the effects of frustration on feelings of hostility, Miller and Bugelski (1948) had a group of boys at a camp rate their attitudes toward two groups (Mexicans and Japanese). The campers then participated in a long, difficult, frustrating testing session that kept them away from their weekly movie. Finally the boys again rated their attitudes towards the minority groups. The scores below represent the number of unfavorable traits attributed to minorities and are similar to those of miller and Bugelski. Participant Before After A 5 6 B 4 4 C 3 5 D 3 4 E 2 4 F 2 3 G 1 3 H 0 2 a. Does the intervening unpleasant task alter attitudes toward the two…
A two-factor study investigates the effects of self-esteem (low vs. high) and gender (males vs. females) on anxiety scores. The following data represents the means for each treatment condition. Low self-esteem High self-esteem Male 5 11 Female 10 3 The data shows that there is a self-esteem by gender interaction. Explain the self-esteem by gender interaction (include individual means in your explanation)
Below is data from a study examining the effects of two different psychotherapy treatments on self-esteem. Specifically, two different treatment types (treat1 and treat2) were compared to a waiting list control group in terms of increasing self-esteem; the main question concerned whether each separate therapy type was different from no treatment at all. The values shown below are the self-esteem scores for the participants in each group (higher values indicate greater self-esteem). a. What are the null and alternative hypotheses? b. If there are differences between the groups, be specific with respect to which groups differ
In a study examining the effect of humor on interpersonal attractions, McGee and Shevlin (2009) found that a man's sense of humor had significant effect on how he was perceieved by woman. In the study, female college students were given brief descriptions of a po tential romantic partner and then rated the attractiveness of the male on a scale from 1 (low) to 7 (high). The fictitious male was described positively as being single , ambitious, and having good job prospects. In one dition, the description also said that he had a great sense of humor. The results showed that the description was rated significantly higher when "a sense of humor" was included. To further examine this effect, a researcher selected a sample of n = 16colle college males and asked them to read a brief description of a female and then rate the attractiveness of the woman in the description . The description had been used in previous research but was modified by adding a statement describing a good sense of humor…
Read the scenario below to determine which one of the time threats to internal validity (test reactivity, instrumentation, history, and maturation) is of most concern, and provide one way to control for the threat. A researcher examines students' perception of their body image by conducting a 2-year longitudinal study of middle-school students (grades 6 - 8). Body image is measured using a scale and the same scale is measured under the same conditions at the beginning and end of the study.
In an early study of the effects of frustration on feelings of hostility, Miller and Bugelski (1948) had a group of boys at a camp rate their attitudes toward two groups (Mexicans and Japanese). The campers then participated in a long, difficult, frustrating testing session that kept them away from their weekly movie. Finally the boys again rated their attitudes towards the minority groups. The scores below represent the number of unfavorable traits attributed to minorities and are similar to those of miller and Bugelski. Participant Before After A 5 6 B 4 4 C 3 5 D 3 4 E 2 4 F 2 3 G 1 3 H 0 2 a. Does the intervening unpleasant task alter attitudes toward the two…
Dr. Mackintosh believes a new olfactory therapy would be more successful in promoting weight loss among obese patients. His patients are first weighed and then randomly assigned to olfactory therapy, dance therapy, or a control condition. At the end of the three weeks, the amount of weight lost is recorded. The results indicate no significant difference in the amount of weight lost between the three conditions. Identify the independent variable along with each level and the dependent variable.
Study 2: Pill Appearance and Perceived Pain. Does the shape or color of a pain pill influence its effectiveness? Although logically it shouldn’t, whether we believe a drug will work does have a powerful effect on our perceptions (e.g., placebo effect). In this experiment, 4 groups of adult patients were given the same amount of Advil after dental surgery for pain relief, but the color and shape of the pill varied. Researchers hypothesized that an unusual shape or color would lead people to believe the pills were new and special and thus would expect them to be more effective than common round, white pills. Researchers also wanted to know if there is an interaction between shape and color Data Labels ShapePill {1=Round; 2=Diamond} ColorPill {1=White; 2=BlueGreen} Gender {0=Woman; 1=Man; 2=Nonbinary person) Descriptions of the Variables and Descriptive Statistics: Referring to the JASP output, and using sentences, present the descriptive statistics of each group: for example:…
Ms. Long studied her students' physics test scores and sleeping habits. She found that students who slept less tended to earn lower scores on the test. What conclusion should she make? There is no correlation between test score and amount of sleep. There is a correlation between test score and amount of sleep. There is probably also causation. This is because there is a decrease in a student's test score with a decrease in the amount of sleep. There is a correlation between test score and amount of sleep. There may or may not be causation. Further studies would have to be done to determine this.

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