In a recent year, some professional baseball player complained that umpires were calling more strikes than the rate of 61% called the previous year. At one point in the season, umpire Dan Morrison called strikes in 2231 of 3581 pitches (based on data from USA Today. Use a 0.10 significant level to test the claim that Morrison's strike rate is higher than 61%.
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.
(5) In a recent year, some professional baseball player complained that umpires were calling more strikes than the rate of 61% called the previous year. At one point in the season, umpire Dan Morrison called strikes in 2231 of 3581 pitches (based on data from USA Today. Use a 0.10 significant level to test the claim that Morrison's strike rate is higher than 61%.
(6) A researching team conduct a survey, where out of 76 Americans surveyed, only 2 had seen or sensed the presence of an angel. Test the claim that 13% of Americans have seen or sensed the presence of an angel. Use αα=0.05.
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