What are the factors in a factorial design? A. The independent variables B. The experimental variables C. The organismic variables D. The dependent variables
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- Canvas ← →X COA O Depression, Nominal DPW ENTAL LASKA 1 pts Read the following scenario, then identify the correct dependent variable and its level of measurement: Sandra is a statistics professor who wants to know how anxious her students are about the upcoming final exam. She conducts a poll and asks the students the following question(s): Select the level of correctness of the following statement: "In general, I am a more anxious test-taker than the average student." 1) Not at all true, 2) Somewhat untrue, 3) Somewhat true, 4) Very true Question 12 O The student, Ordinal O Statistics Anxiety, Nominal O Statistics Anxiety, Ordinal O The student, Nominal 1 pts A group of researchers is studying whether there is a difference in the average number of hours of exercise between different racial/ethnic groups (Caucasian, African American, Asian, and Hispanic) in a particular town. However, they are concerned that the number of people of Asian decent in the population is so small compared…Statistics are widely used in Major League Baseball. Are the number of runs batted in (RBI) correlated to a hitter's batting average (AVG)? The following is a chart of 25 baseball players' statistics from 2016. Let the explanatory variable x = RBI and the response variable y = AVG. Player RBI HR AVG Salary (in millions) Justin Turner 90 27 0.277 5.100 Chris Iannetta 24 7 0.210 4.550 Coco Crisp 55 13 0.231 11.000 Adam Jones 83 29 0.265 16.000 Adrian Gonzalez 90 18 0.285 21.857 Jason Heyward 49 7 0.230 21.667 Jayson Werth 70 21 0.244 21.571 Evan Gattis 72 32 0.251 3.300 Jorge Soler 31 12 0.238 3.667 Brian McCann 58 20 0.242 17.000 David Ortiz 127 38 0.315 16.000 Chris Davis 84 38 0.221 21.119 Matt Wieters 66 17 0.243 15.800 J.D. Martinez 68 22 0.307 6.750 Leonys Martin 47 15 0.245 4.150 Hunter Pence 57 13 0.289 18.500 Aaron Hill 38 10 0.262 12.000 Jean Segura 64 20 0.320 2.600 Shin-Soo Choo 17 7 0.242 20.000 Mike Trout 100 29 0.315 16.083…A statistical study found a correlation between the percent of family income spent on food and the percent of family income spent on leisure activities. This is an example of O a) a cause-and-effect relationship O b) a common-cause factor a presumed cause-and-effect relationship a reverse cause-and-effect relationship Oc) O d)
- #21How much customers buy is a direct result of how much time they spend in the store. A study of average shopping times in a large national houseware store gave the following information (Source: Why We Buy: The Science of Shopping by P. Underhill). Women with female companion: 8.3 min.Women with male companion: 4.5 min. Stores that sell mainly to women should figure out a way to engage the interest of men! Perhaps comfortable seats and a big TV with sports programs. Suppose such an entertainment center was installed and you now wish to challenge the claim that a woman with a male friend spends only 4.5 minutes shopping in a houseware store.Need B, C and D please
- A researcher designs a study to determine whether female preschoolers prefer sweetened or unsweetened cereal. The researcher uses a box of sweetened colorful cereal and a box of unsweetened tan colored cereal. The research finds that the group of preschoolers ate more of the sweetened colorful cereal and therefore prefers the sweetened cereal. Which two variables are confounded in this experiment? A. color of the cereal and children's gender O B. color of the cereal and sweetness of the cereal O C. sweetness of the cereal and amount of eating D. children's gender and amount of eating Reset Selection MAR 18 étv AA A O gO F3 AA F4 F7 F8 F9 F10 F11 F12 #3 2$ % & * 3 4 5 dele E R Y U %3D G H J K1. A survey of 1712 high school seniors in 421 high schools across the country revealed that 74% percent of students think that their teachers are doing a good or excellent job. Twenty-two percent of those surveyed said that they would like to become teachers. Although the seniors reported that their teachers generally have good content knowledge and are competent, the seniors also said that many of their teachers were not as interesting or creative as they should be. Independent variable (construct): Levels (operational def): Organismic/Manipulated: B/W or W/I: Dependent variable (Construct & Operational def): Туре of Hypothesis: Type of Statistic: Research Design:Consider the following scenario and answer the questions below: The ornithologist decided to investigate the effect of temperature on the migration of North American birds. Develop a hypothesis in the appropriate format. Identify the independent variable. Identify the dependent variable. Plan an investigation (what would she do to collect data?). Did she engage in basic science or applied science? Explain. Did she engage in inductive or deductive reasoning? Explain
- A study investigates the effects of a Method's course and sex of student on willingness to believe in ESP ten years after college. This study has: two independent variables two dependent variables O two cells in its design two possible interactions to evaluateStatistics are widely used in Major League Baseball. Does a baseball player's batting average (AVG) determine their salary? The following is a chart of 25 baseball players' statistics from 2016. Let the explanatory variable x = AVG and the response variable y= Salary. Player RBI HR AVG Salary (in millions) Buster Posey 80 14 0.288 20.802 Mark Teixeira 44 15 0.204 23.125 Aaron Hill 38 10 0.262 12.000 Hunter Pence 57 13 0.289 18.500 Coco Crisp 55 13 0.231 11.000 Jacoby Ellsbury 56 9 0.263 21.143 Chris Davis 84 38 0.221 21.119 Jean Segura 64 20 0.320 2.600 Troy Tulowitzki 79 24 0.256 20.000 Justin Smoak 34 14 0.217 3.900 Leonys Martin 47 15 0.245 4.150 Hanley Ramirez 111 30 0.286 22.750 Adrian Beltre 104 32 0.300 18.000 Adrian Gonzalez 90 18 0.285 21.857 Adam Jones 83 29 0.265 16.000 Joe Mauer 49 11 0.261 23.000 Chris Iannetta 24 7 0.210 4.550 Curtis Granderson 59 30 0.237 16.000 Jason Heyward 49 7 0.230 21.667 Prince Fielder 44 8 0.212 18.000…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…