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Jim Frost
More books by Jim Frost…
“Without hypothesis tests, you risk drawing the wrong conclusions and making bad decisions. That can be costly, either in business dollars or for your reputation as an analyst or scientist.”
― Hypothesis Testing: An Intuitive Guide for Making Data Driven Decisions
― Hypothesis Testing: An Intuitive Guide for Making Data Driven Decisions
“The p-value for each independent variable tests the null hypothesis that the variable has no relationship with the dependent variable.”
― Regression Analysis: An Intuitive Guide for Using and Interpreting Linear Models
― Regression Analysis: An Intuitive Guide for Using and Interpreting Linear Models
“Continuous variables can take on almost any numeric value and can be meaningfully divided into smaller increments, including fractional and decimal values. You often measure a continuous variable on a scale. For example, when you measure height, weight, and temperature, you have continuous data. Categorical variables have values that you can put into a countable number of distinct groups based on a characteristic. Categorical variables are also called qualitative variables or attribute variables. For example, college major is a categorical variable that can have values such as psychology, political science, engineering, biology, etc.”
― Regression Analysis: An Intuitive Guide for Using and Interpreting Linear Models
― Regression Analysis: An Intuitive Guide for Using and Interpreting Linear Models
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