Distribution Plots in SeabornI created a project in a Jupyter Notebook under Anaconda that’s called Distribution Plots in Seaborn. For this […] March 26, 2024 in Data Visualization tagged plot / seaborn / chart / distribution by Mike
The Normal DistributionThe normal distribution is a continuous probability distribution that is symmetrical on both sides of the mean and […] April 16, 2023 in Statistics tagged distribution / probability / normal / bell / curve / Inferential Statistics by Mike
The Poisson DistributionThe Poisson distribution is a probability distribution that models the probability that a certain number of events will […] April 16, 2023 in Statistics tagged distribution / poisson / trials / times / Probability by Mike
Probability DistributionsThe successful study of probability distributions depends on your understanding of basic probability. You can use probability distributions […] April 16, 2023 in Statistics tagged distribution / probability / Probability by Mike
Student’s T DistributionThe Student’s T-distribution is one of the most important breakthroughs in statistics, as it allowed inference through small […] December 16, 2022 in Statistics tagged students / distribution / interval / confidence / t / student / Statistics Confidence Intervals by Mike
Central Limit TheoremThe Central Limit Theorem (CLT) states that no matter the distribution of the population (Binomial, Uniform, Exponential, or […] December 16, 2022 in Statistics tagged limit / theorem / sampling / MEAN / sample / distribution / central / Inferential Statistics by Mike
Inferential StatisticsUp to now in our study of the basics of Statistics we’ve covered descriptive statistics. Click on the […] December 16, 2022 in Statistics tagged statistics / distribution / inferential / Inferential Statistics by Mike
Marketing MixThe marketing mix is also known as the Four P’s of Marketing. Marketing objectives can be broken down […] August 5, 2017 in Marketing tagged marketing / strategy / price / product / place / promotion / p's / four / distribution by Mike