#### What is a Pivot Table, and what are the different sections of a Pivot Table?

#### Data Science

What is a Pivot Table, and what are the different sections of a Pivot Table?

How does the pivot tables get its name? But it turns out that Pito Salas came up with the concept in his product Improv. The first pivot tables used the mouse to drag category names into place. Let's say that you are using an Excel program.

#### Pivot Table

#### Data Science

A Pivot Table is a simple feature in Microsoft Excel which allows you to quickly summarize huge datasets.

pivot table is a table of statistics that summarizes the data of a more extensive table. This summary might include sums, averages, or other statistics, which the pivot table groups together in a meaningful way. Pivot tables are a technique in data processing.

#### Can you make a Pivot Table from multiple tables?

#### Data Science

Can you make a Pivot Table from multiple tables?

welcome for your reply. good question. What is the use of pivot table ? where it can be used?Any idea

#### What do you understand by the term Normal Distribution?

#### Data Science

What do you understand by the term Normal Distribution?

The black line indicates the values your sample should adhere to if the distribution was normal. The dots are your actual data.

#### What is A/B Testing?

#### Data Science

What is A/B Testing?

All the comment given by you are good. Its very relevant to that topic. Thanks for you comment. It is quite useul.

#### A/B testing

#### Data Science

A/B testing is the statistical hypothesis testing for a randomized experiment with two variables A and B. Also known as the split testing, it is an analytical method that estimates population parameters based on sample statistics.

A/B testing is a user experience research methodology. A/B tests consist of a randomized experiment with two variants, A and B. It includes application of statistical hypothesis testing or "two-sample hypothesis testing" as used in the field of statistics.

#### statistical power of sensitivity

#### Data Science

The statistical power of sensitivity is used to validate the accuracy of a classifier. This classifier can be either Logistic Regression, Support Vector Machine, Random Forest etc.

The statistical power of an A/B test refers to the test's sensitivity to certain magnitudes of effect sizes. More precisely, it is the probability of observing a statistically significant result at level alpha (α) if a true effect of a certain magnitude (MEI) is in fact present.

#### Alternative hypothesis

#### Data Science

Alternative hypothesis is again a statistical phenomenon which is contrary to the Null Hypothesis. Usually, it is considered that the observations are a result of an effect with some chance of variation.

How to observe the input?

#### Univariate

#### Data Science

: A descriptive statistical technique that can be differentiated based on the count of variables involved at a given instance of time.

Firth logistic regression ?

#### Bivariate

#### Data Science

: This analysis is used to find the difference between two variables at a time.

Bivariate analysis is one of the simplest forms of quantitative analysis. It involves the analysis of two variables, for the purpose of determining the empirical relationship between them. Bivariate analysis can be helpful in testing simple hypotheses of association.