Sampling Distribution of the Sample Proportion

Sampling > Sampling Distribution of the Sample Proportion The Sampling Distribution of the Population Proportion gives you information about the population proportion, p. For example, you might want to know the proportion of the population (p) who use Facebook. You can’t survey everyone on the planet, so you use a sample and get the sample … Read more


Comments? Need to post a correction? Please Contact Us.

Finite Population Correction Factor FPC: Formula, Examples

Sampling > Finite Population Correction Factor What is the Finite Population Correction Factor? The Finite Population Correction Factor (FPC) is used when you sample without replacement from more than 5% of a finite population. It’s needed because under these circumstances, the Central Limit Theorem doesn’t hold and the standard error of the estimate (e.g. the … Read more


Comments? Need to post a correction? Please Contact Us.

Lilliefors Test for Normality & Exponential Distributions

Normality > Lilliefors Test What is Lilliefors Test? The Lilliefors test is a test for normality. It is an improvement on the Kolomogorov-Smirnov (K-S) test — correcting the K-S for small values at the tails of probability distributions — and is therefore sometimes called the K-S D test. Many statistical packages (like SPSS) combine the … Read more


Comments? Need to post a correction? Please Contact Us.

Assumption of Normality / Normality Test

Statistics Definitions > Assumption of Normality / Normality Test What is Assumption of Normality? Assumption of normality means that you should make sure your data roughly fits a bell curve shape before running certain statistical tests or regression. The tests that require normally distributed data include: Independent Samples t-test. Hierarchical Linear Modeling. ANCOVA. Goodness of … Read more


Comments? Need to post a correction? Please Contact Us.

Implicit Factors: Definition, Examples

Statistics Definitions > Implicit Factors What are Implicit Factors? Implicit factors imply some connection between items in a sample. If your sample has a lack of independence, that’s an indication that there may be one or more implicit factors in your sample. The word “factor” is extremely broad, and it means that practically anything can … Read more


Comments? Need to post a correction? Please Contact Us.

Wishart Distribution: Basic Definition, Uses

Types of Probability Distribution > What is the Wishart Distribution? The Wishart distribution is one of the more complicated distributions in statistics, partly because there are many ways to define it. First of all, the simplest definition: it is the multivariate counterpart of a chi-squared distribution when the degrees of freedom are not integers. For … Read more


Comments? Need to post a correction? Please Contact Us.

Prior Probability: Uniformative, Conjugate

Probability > Prior Probability: Uniformative, Conjugate What is Prior Probability? Prior probability is a probability distribution that expresses established beliefs about an event before (i.e. prior to) new evidence is taken into account. When the new evidence is used to create a new distribution, that new distribution is called posterior probability. In some ways, it’s … Read more


Comments? Need to post a correction? Please Contact Us.

Spurious Correlation: Examples from Real Life and the News

Regression Analysis > Spurious Correlation What is a Spurious Correlation? A spurious correlation wrongly implies a cause and effect between two variables. For example, the number of astronauts dying in spacecraft is directly correlated to seatbelt use in cars: This graph — showing that an increase in car seat belt results in a lower number … Read more


Comments? Need to post a correction? Please Contact Us.

Classical Probability: Definition and Examples

Statistics Definitions > Classical Probability Contents: What is Classical Probability? Classical Probability Examples in Real Life What is Classical Probability? Classical probability is a simple form of probability that has equal odds of something happening. For example: Rolling a fair die. It’s equally likely you would get a 1, 2, 3, 4, 5, or 6. … Read more


Comments? Need to post a correction? Please Contact Us.

Sign Test: Step by Step Calculation

Hypothesis Testing > Sign Test What is the Sign Test? The sign test compares the sizes of two groups. It is a non-parametric or “distribution free” test, which means the test doesn’t assume the data comes from a particular distribution, like the normal distribution. The sign test is an alternative to a one sample t … Read more


Comments? Need to post a correction? Please Contact Us.