**Educational Website Content**---### Understanding Variables in Research**Q21.** Determine whether each of the following variables is an example of an independent variable (I) or a quasi-independent variable (Q). Indicate with I or Q:i. **Gender:** ii. **Ethnicity:** iii. **Exposure to supplements during the experiment:** iv. **Environment of research setting:** v. **Sexual orientation:** vi. **Physical activity:** ---### Data Analysis Task**Q22.** Below is the age data for 20 students in the Highrove community. Follow the instructions to analyze this data:1. **Construct a simple frequency distribution for grouped data; display your findings in a table:** - Determine that the number of intervals should be 5. 2. **Add a column to your table with the relative percent.**3. **Add a column to your table with the cumulative percent (from bottom up).**4. **Construct a histogram:** - Distribute the intervals along the horizontal scale (x-axis). - List the frequency of scores in each interval on the vertical scale. 5. **Construct a pie chart:** - When drawing the chart, an exact representation in terms of angles is not necessary.**Age Data:**| Grade ||-------|| 8 || 14 || 11 || 6 || 17 || 9 || 14 || 19 || 15 || 10 || 15 || 12 || 0 || 16 || 13 || 24 || 8 || 10 || 14 || 7 |Explore these exercises to enhance your understanding of data distribution, visualization, and interpretation.

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Answered: Q21. State whether each of the…

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 research conducts a study to identify the relationship between variable A and Variable B. The data collected from a random sample is presented in Table 2 Subject Dependent Variable Independent Variable (variable A) (variable B) 1 23.5 19.6 2 21.5 24.7 3 17.5 16.9 4 45.6 22.1 32.1 26.4 6 61.0 55.2 7 15.9 21.5 8 22.6 77.2 9. 34.5 35.8 10 22.1 23.9 11 26.4 23.7 12 23.5 24.2 13 59.9 60.5 14 45.7 46.0 15 43.2 44.1 16 28.4 29.3 17 54.8 55.9 18 37.4 23.5 19 42.3 59.9 20 32.1 45.7 a. What is the suitable correlation test for analyzing the data? b. Analyze the data by using the calculation method. What percentage of the variance in variable A is influenced by Variable B? Explain your answer. c. Report the results of the analysis
Dif-in-Dif requires: 1. Identical characteristics between treatment and control groups II. Panel or repeated cross-sectional data III. Time-varying unobservables to be similar across treatment and control groups IV. Time-invariant unobservables to be similar across treatment and control groups O l and IV I and III None of the other answers is correct III and IV O Il and III
A non-spurious relationship implies that: Select one: A. there is a potential causal link between the independent and dependent variables. B. the relationship would not be maintained if relevant variables were controlled in the research. C. the explanatory power of the independent variable is due to error. D. the dependent variable is, in fact, the control variable.
For each of the following epidemiological scenarios, draw a DAG that represents the relationships between the variables: A researcher is studying the association between experiencing childhood abuse (A) and the occurrence of depression (D) as an adult. She has reason to believe that alcohol consumption (C) may mediate the relationship between (A) and (D).
Please indicate the dependent and independent variables in the following hypotheses. People with higher education are more prone to read books than people with less education. Independent variable: Dependent variable:
Identify each of the variables as quantitative or categorical. Also, identify each of the variables as an explanatory variable or a response variable.
Indicate for each which type of t test is appropriate (independent, dependent). An educator would like to assess the effectiveness of a new instructional program for reading. The control group consist of n= 4 second grade students who are provided with the traditional instruction used at school. Later these students are given the experimental instruction and measured again on reading.
The question is…are pre and post shows a dependent test or an independent test? Explain why.
4. An experimenter studies vision in low light by having participants sit in a darkened room for 5, 15, or 25 minutes and then tests their ability to correctly identify 20 objects. What is te independent variable? Give the levels of the independent varibale - What is the level of measurement of the independent variable? What is the dependent variable? - What is the level of measurement of the dependent variable? - Would you use the values from the independent variable or the dependent variable to create a frequency distribution?
The hypothesis should revolve around one of the variables collected for all subjects. Your results section should describe the general course of one subject’s response from your individual analysis and then evaluate your hypothesis for a specific collective variable. Please explain this in plain english. I dont understand the instructions. Here is a reference of the subjects.
Mr. James, president of Daniel-James Financial Services, believes that there is a relationship between the number of client contacts and the dollar amount of sales. To document this assertion, he gathered the following information from a sample of clients for the last month. Let X represent the number of times that the client was contacted and Y represent the valye of sales ($1000) for each client sampled. Number of Contacts (X) Sales ($1000) 14 24 12 14 20 28 16 30 23 30 b) compute the correlation coefficient and coeffcient of determination. Interpret the coefficients.
Lecture(8.4): Researchers were interested in whether the number of books children carried differed between gender. It was hypothesized that girls would carry more books than boys.Twenty children were recruited and matched based on age and SES..Researchers then collected the number of the age of the appropiate books the children carried. A Summary of the result is given below: Girls 15 7 22 13 26 14 12 11 18 30 Boys 12 10 16 8 17 9 15 10 20 15 Test the hypotheses at (alpha=0.05) level of signifance

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