Interpreting Confidence Intervals
Confidence intervals are often misunderstood. Let’s use an example. You have a population of oak trees in your […]
Confidence intervals are often misunderstood. Let’s use an example. You have a population of oak trees in your […]
Inferential statistics uses sample data to draw conclusions or make predictions about a larger population. Sampling is the […]
The normal distribution is a continuous probability distribution that is symmetrical on both sides of the mean and […]
The Poisson distribution is a probability distribution that models the probability that a certain number of events will […]
Identifying the distribution of your data is a key step in any analysis. It might be binomial or […]
The successful study of probability distributions depends on your understanding of basic probability. You can use probability distributions […]