Source: https://www.analyticsvidhya.com/blog/2015/08/comprehensive-guide-regression/ Introduction Linear and Logistic regressions are usually the first algorithms people learn in predictive modeling. Due to their popularity, a lot of analysts even end up thinking that they are the only form of regressions. The ones who are slightly more involved think that they are the most important amongst all forms of regression analysis.… Continue reading 7 Types of Regression Techniques you should know!
Question: What is the mean age of our population? Data Take a random sample Sample mean = 27 Sample std = 3 n = 10 Assumption The population follows normal distribution Hypothesis H0: Mean = 30 Ha: Mean != 30 Pick test statistics Z = (SampleMean – M0)/sigma_sample = (SampleMean – M0)/(sigma/sqrt(n)) Since we don’t know sigma,… Continue reading Hypothesis testing steps
What is p-value? The p-value is the probability of getting the observed value of the test statistic, or a value with even greater evidence against H0, if the null hypothesis is actually true. = A measure of the strength of the evidence against the null hypothesis The smaller the p-value, the greater the evidence against… Continue reading Hypothesis testing