3. A housewife wanted to know which soil is best for her pechay plants: the soil purchasedfrom an online seller, soil from her backyard compost or the soil underneath the nearbybamboo tree. She planted 30 pechay seeds into each soil source and then compared thegrowth of pechay after a month.Independent variable:Dependent variable:Extraneous variable:4. Jenny is only borrowing the cellphone chargers of her brother, sister and mother becauseshe lost her phone charger. All chargers are of the same specifications as hers eventhough they have different phone brands. However, she would like to know which chargerand charging cable combination would fill her phone battery the fastest. She used thefollowing codes as her reference and charged her phone uninterrupted using the followingcombination. The charging time of the phone was then compared.Brother's Charger: BBBrother's Cable: bbSister's Charger: SSSister's Cable: ssMother's Charger: MMMother's Cable: mmCombination ChargingCombination ChargingCombination ChargingtimetimetimeSSssMMmmBBssSSbbSSmmMMssIndependent variable:Dependent variable:Extraneous variable: What's MoreActivity 2: Identifying variablesDirections: Identify the Independent, Dependent and Extraneous variable/s in each of thefollowing situations.1. Three groups of students were placed in a classroom with controlled room temperaturesof 18°C, 20°C, 25°C. The math exam scores of the students were then taken and comparedto the other groups.Independent variable:Dependent variable:Extraneous variable:2. An online seller would like to know whether the indication of price on Facebook posts willattract consumers more. He posted 50 products for sale on Facebook market, 25 of whichhe indicated the price while the remaining 25 products, did not have prices. Buyers werejust instructed to send him a personal message (pm) if they want to know the price. Hethen identified which products have greater sales.Independent variable:Dependent variable:Extraneous variable:

"Since you have posted a question with multiple subparts, we will solve first 3 sub-parts for you.…

Answered: 3. A housewife wanted to know which…

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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What are two variables that will be can be used in a chi-square analysis based in social work? What would the best attributes be for each variable?
How to find independent and defendant variables
Suppose you have access to a database with the variables listed below. Choose two variables you are interested in exploring that may be related (a predictor and outcome). Which variable is your y (outcome) and which is your x (predictor)? *Hint: which one may predict the other? Example: hot weather may predict sunburns.
Suppose researchers at an abdominal transplant clinic are concerned about the rate of graft loss due to diabetes status prior to receiving a donor kidney. Research has shown that gender discordance, or receiving a gender from a donor of an opposite gender may increase the risk of both exposure and outcome after transplant. Assume the following tables represent the stratified analysis of the potential confounding variable. (9 points) Gender Discordance Graft Failure No Graft Failure Total Diabetes II 23 10 33 No Diabetes II 4 44 48 Total 27 54 81 Gender Concordance Graft Failure No Graft Failure Total Diabetes II 9 34 43 No Diabetes II 12 87 99 Total 21 121 142 A) Calculate the stratum specific estimates for the odds ratios in each strata. B) Observe the difference in the odds ratios. Based on observation alone, what are we likely to conclude regarding the relationship between outcome and exposure…
Suppose that, as part of a research methods class, Bailey was asked to write a summary of a research paper on the topic of the effects of visitor traffic on the relative humidity in bat caves. Identify the explanatory and the response variables. The number of visitors and the relative humidity are the response variables. The number of visitors is the response variable, and the relative humidity is the explanatory variable. The number of visitors and the relative humidity are the explanatory variables. The number of visitors is the explanatory variable, and the relative humidity is the response variable.
Cellulon, a manufacturer of home insulation, wants to develop guidelines for builders and consumers on how the thickness of the insulation in the attic of a home and the outdoor temperature affect natural gas consumption. In the laboratory, it varied the insulation thickness and temperature. A few of the findings are: Monthly Natural Gas Consumption (cubic feet), Thickness of Insulation (inches), Outdoor Temperature (ºF), y x1 x2 30.3 6.0 40.0 24.2 12 40 27.9 8 49 On the basis of the sample results, the regression equation is: yˆy⁢^⁢ = 56.26 − 0.66x1 − 0.59x2 How much natural gas can homeowners expect to use per month if they install 6 inches of insulation and the outdoor temperature is 40 degrees F? (Round your answer to 2 decimal places.) What effect would installing 7 inches of insulation instead of 6 have on the monthly natural gas consumption (assuming the outdoor temperature remains at 40 degrees F)? (Round your answers…
Indicate the dependent and independent variables, the number of levels for each independent variable, and whether each variable is within-subjects or between subjects 1. Individuals with anorexia and individuals with bulimia take a cognitive distortions test upon entering a treatment program for eating disorders and again three weeks later.
2. How do you identify which variable in a study is the factor? How do you identify the levels of a factor? How do you identify the dependent variable?
For each scenario below name one categorical and one quantitative used and write the complete answer in the box below. a) 9 randomly selected patients with 4 blood types (A , B, O, AB) were tested for their body temperature. Categorical variable: Quantitative variable: b) 10 faculty members from the Physics, Psychology and Biology department were asked about their annual salary. Categorical variable: Quantitative variable:

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