Test the claim below about the mean of the differences for a population of paired data at the level of significance a. Assume the samples are random and dependent, and the populations are normally distributed. Claim: Hg 20; a = 0.01. Sample statistics: d = - 2.5, sg = 0.9, n= 16 Identify the null hypothesis by writing its complement. O A. Ho: Ha s0 Hai Hy>0 OC. Ho: Ha <0 Hai Hy zO O B. Ho: Ha *0 Hai Ho =0 D. Ho: Ha 20 O E. Ho: Ha >0 Hai Hg sO OF. Ho: Ha =0 Hai Ho #0 The test statistic is t= (Round to two decimal places as needed.)
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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