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Welcome to the exciting realm of statistics! This tutorial is your gateway to understanding the essential concepts and applications of statistics in various fields such as science, economics, and social sciences and provides statistics calculators with further turoaisl to increase your knowledge on specific statistics disciplines. You can also access our Math Tutorials and Math Calculators from the quick links below.

Statistics can be defined as the practice, math or science of collecting and analysing data in large quantities with the aim of identifying common elements and math ratios and relationships to provide representational analysis, reports and equations. Each of the statistcis calculators below covers a different topic and has a supporting tutorial which provides further detail and information about statistics.

Embark on your journey into the world of statistics now!

- Statistics calculator and Graph Generator
- Advanced Statistics Calculator
- Statistics Calculator (Numeric Only)
- T-Value Calculator
- Z Score Calculator
- Margin of Error Calculator

Statistics is a branch of mathematics that deals with the collection, analysis, interpretation, presentation, and organization of data. It provides tools for understanding trends and patterns, making decisions, and evaluating theories.

**Population and Sample:**The population is the entire group that you want to draw conclusions about. A sample is a subset of the population.

**Measures of Central Tendency:**These are numbers that describe what is average or typical within a distribution of data. There are three main measures: mean, median, and mode.

**Measures of Dispersion:**These are numbers that indicate how spread out the data is. Common measures of dispersion include range, variance, and standard deviation.

**Correlation and Causation:**Correlation is a statistical measure that describes the size and direction of a relationship between two or more variables. Causation indicates that one event is the result of the occurrence of the other event.

**Probability:**Probability is a measure of the likelihood that a particular event will occur. It is used to quantify an attitude of mind towards some proposition of whose truth we are not certain.

p-value | The p-value is a quantitative measure used for the reporting the results of statistical hypothesis testing. |
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t-value | The t-value is a test statistic that is the result of a statistical test. |

z-value | The z-value or z-score is a value's relationship to the mean of a group of values. |

Degrees of Freedom | Degrees of Freedom is the number of values in the final calculation of a statistic that are free to vary. |

Significance Level | The significance level is the criterion used for rejecting the null hypothesis |

Null Hypothesis | The Null Hypothesis is the hypothesis that there is no significant difference between specified populations, any observed difference being due to sampling or experimental error. |

Test Statistic | A test statistic is a quantity, derived from the sample, used in statistical hypothesis testing |

t-test | A t-test is typically used in small samples when the test statistic of the population follows a normal distribution |

**Decision Making:**Statistics can help in decision making by providing accurate analysis of the available data.

**Quality Testing:**Companies use statistics to perform quality tests and create high-standard products.

**Forecasting:**Statistics is used in various fields such as economics and weather forecasting to predict future events.