(Binomial Distribution) 1. A pharmaceutical company has developed a drug to restore hair growth in men. Like most drugs, this product has potential side effects. One of these side effects is increased blood pressure. The FDA has said the company can market the drug if there are blood-pressure increases in 2% or fewer of all men who will use the drug. The company is conducting a very small pilot trial with 10 men. Let X = number of men out of 10 with increased blood pressure after taking the drug. a. What are the possible values of X? b. For the computations below, assume for the moment, that the drug is safe (i.e., only 2% of men suffer increased blood pressure). Determine the probability that 3 or more men in the trial will have increased blood pressure. (Report this probability to 4 decimal places. Hint: Using the complement rule may be faster.)
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.
The pharmaceutical company can market the hair growth drug only when the blood pressure increases in 2% or fewer of all the men who will use the hair growth drug.
X = Number of men out of 10 with increased blood pressure after taking the drug
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