T-test
Definition of T-test
T-test: A T-test is a type of statistic that is used to compare two groups of data. It can be used to determine whether the means of the two groups are statistically different from each other.
T-test: A T-test is a type of statistic that is used to compare two groups of data. It can be used to determine whether the means of the two groups are statistically different from each other.
Definition of Exact p-value Exact p-value: The Exact p-value is the probability of obtaining a test statistic at least as extreme as the one that was actually observed, assuming that the null hypothesis is true. What is Exact p-value used for? Exact p-values are used to help assess the strength of evidence for a hypothesis…
Definition of Quality Control Quality Control: In the context of data science, quality control is the process of ensuring that data is accurate and reliable. This can be done through a variety of techniques, such as checking for inconsistencies, verifying the source of the data, and performing statistical tests. By making sure that data is…
The Chi-square Test is a statistical hypothesis test used to determine the significance of the difference between the observed and expected values of a given data set. The chi-square statistic is used to …
Definition of Data Scientist Data Scientist: A data scientist is a professional who extracts knowledge and insights from data in order to solve problems. What does a Data Scientist do? A Data Scientist is a professional who specializes in using extensive scientific, mathematical and computer programming knowledge to extract meaningful insights from vast amounts of…
Definition of Inferential Statistics Inferential Statistics: Inferential statistics are a type of statistics that are used to make estimations about populations based on samples. This is done by using the data from the sample to calculate a statistic, which is then used to make an inference about the population. What are Inferential Statistics used for?…