ath section of the ACT Normal Model is apprc n of ACT test takers we
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.
Let x denote the Act test takers score
Given that the math section of the Act test has a mean of 20.9 and a standard deviation of 5.3
That is,
Assume that the distribution is normal.
The objective is to compute the proportion of Act test takers score over 31 on the math section.
That is, P(X>31).
( since the test takers scores is given over 31).
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