The television show Ghost Whistler has been successful for many years. That show recently had a share of 32, meaning that among the TV sets in use, 32% were tuned to Ghost Whistler. Assume that an advertiser wants to verify that 32% share value by conducting its own survey, and a pilot survey begins with 11 households have TV sets in use at the time of a Ghost Whistler broadcast. (Round answers to four decimal places) Find the probability that none of the households are tuned to Ghost Whistler. P(none) = Find the probability that at least one household is tuned to Ghost Whistler. P(at least one) = Find the probability that at most one household is tuned to Ghost Whistler. P(at most one) = If at most one household is tuned to Ghost Whistler, does it appear that the 32% share value is wrong? (Hint: Is the occurrence of at most one household tuned to Ghost Whistler unusual?) yes, it is wrong no, it is not wrong

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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.