Dr. Gavin decides that instead of conducting a 2 x 4 independent-groups factorial design, he is goingto conduct a 2 × 4 within-groups factorial design. Which of the following things will change?the number of participants neededO the number of cellsthe number of interactions that need to be examinedthe number of main effects that need to be examined

Number of participants needed: Generally, within-groups designs require fewer participants compared…

Answered: Dr. Gavin decides that instead of…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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StarHortons Cup, the coffee company, wants to determine how long caffeine lasts throughout the day when individuals have a cup of one of their 3 types of coffee at 9am. They will then measure the levels of caffeine in these individuals’ systems at 10am, 12am, 2pm, 4pm, 6pm and 8pm. They want to have at least 20 observations per group. How many separate/distinct groups of participants are needed if they want to conduct this experiment using a mixed-measures ANOVA? 18 6 20 3
A health scientist is testing the effectiveness of three different diets (Diet A, Diet B, and Diet C). To determine diet effectiveness, a group of 72 participants were weighed and then randomly assigned to adhere to one of the three diets for a month (N = 24 for each group). At the end of the month, each participant was weighed again and the amount of weight lost was calculated in kilograms (kg). Using the variables “Diet” and “Weight Loss kg”, conduct a One-Way, Between Subjects, ANOVA, at α = 0.05, AND conduct Tukey's Post Hoc testing to find out which of the three diets was most effective. Identify the correct symbolic notation for the alternative hypothesis. A. HA: µ1 ≠ µ2 ≠ µ3 B. H0: µ1 = µ2 C. H0: µ1 = µ2 = µ3 D. HA: µ1 ≠ µ2
A health scientist is testing the effectiveness of three different diets (Diet A, Diet B, and Diet C). To determine diet effectiveness, a group of 72 participants were weighed and then randomly assigned to adhere to one of the three diets for a month (N = 24 for each group). At the end of the month, each participant was weighed again and the amount of weight lost was calculated in kilograms (kg). Using the variables “Diet” and “Weight Loss kg”, conduct a One-Way, Between Subjects, ANOVA, at α = 0.05, AND conduct Tukey's Post Hoc testing to find out which of the three diets was most effective. Identify the correct symbolic notation for the null hypothesis. A. HA: µ1 ≠ µ2 B. H0: µ1 = µ2 = µ3 C. HA: µ1 ≠ µ2 ≠ µ3 D. H0: µ1 = µ2
During one month, a blood donation center found that 45.5% of the donors had the A antigen. 14.5% of the donors had the B antigen. 4.6% of the donors had the A antigen and the B antigen. 84.6% of the donors were Rh+. 87.8% of the donors had the B antigen or were Rh+. (a) Find the percent of donors that have the A antigen or the B antigen. 55.4 % (b) Find the percent of donors that have the B antigen and are Rh+. ?
Let’s say a psychologist suspects that emotions affect people’s eating habits, but that the eating habits of anxious people are affected differently. Ten highly anxious subjects are randomly divided into two equal-sized groups, one of which views a horror movie while the other watches a comedy. Ten non-anxious control subjects are similarly divided. The number of ounces of popcorn eaten by each subject during the movie is recorded. How many independent variables are there in this design? Name each of the factors and levels (using appropriate descriptors from the paragraph): How many total conditions (groups) are there in this design? Name the dependent variable:
Basketball players can take shots worth 3 points, 2 points, or 1 point. A scout is assessing two players- Tabitha and Lauren-who play for different teams in different leagues. The scout wonders if they have similar or different shot selections. They take a random sample of Tabitha's games and a separate random sample of Lauren's games. They tally how many of each type of shot the players attempted in those games. Here is a summary and the results of a chi-square test: Chi-square test: Shot vs. player Tabitha Lauren 3-point 8 12 Expected 10.34 9.66 2-point 40 37 Expected 39.83 37.17 1-point 12 Expected 9.83 9.17 x² = 2.097, DF = 2, P-value = 0.350 %3D Assume that all conditions for inference were met. At the a = 0.05 significance level, what is the most appropriate conclusion to draw from this test? Choose 1 answer: This is convincing evidence that the distribution of shot type differs between Tabitha and Lauren.
21 subpart a
Give me an example of a single factor design and an example of a factorial design. Provide the independent variable (IV) with its levels and dependent variable (DV) for the single factor design and the independent variables with their levels and DV for the factorial design

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