= Unit 4 Lesson 14: Using Normal Distributions for Exper. Daslny Clasgbu 11 of 14 Next > A human resources experiment about job satisfaction takes 10 subjocts and divides them into 2 groups using a random process. The control group contains 5 subjects and the treatmrent group contains 5 subjocts. Each group is asked to rate their job satisfaction on a scale from 1 to 10. The control group rosults in the data: 3, 7, 8, 10, and 10. The treatment group results in the data: 5, 6, 7, 7, and 9. Statisticiens run 100 simulations regrouping the data into 2 groups at random and record the difforences in means for the groups in each simulation. The histogram shows the differences in means from the simulations. 20 What is the difference in means betwoen the two groups? 15 10 What proportion of the difference in means from the simulation haVo a differonce at icast as grcat as the aiflerence in means betwoen the control and trestmont groupu? -3.2-2.4 -1.6-0.8 0 0.8 1.6 2.4 3.2 Submit and Explain difference of means
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
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