Part 1 | What is Statistical Analysis | Descriptive, Inferential, Correlation & Regression Analysis
Part 1 | What is Statistical Analysis | Descriptive, Inferential, Correlation & Regression Analysis
Statistical analysis is the process of collecting, organizing, and interpreting data to extract meaningful insights. It is a powerful tool that can be used to answer a wide range of questions, from understanding the basic characteristics of a population to testing hypotheses about relationships between variables.
There are two main types of statistical analysis: descriptive and inferential.
Descriptive statistics is used to summarize and describe the characteristics of a data set. This can include measures such as central tendency (mean, median, mode), dispersion (standard deviation, range), and distribution (shape of the data). Descriptive statistics can be used to create charts and tables that help to visualize and interpret the data.
Inferential statistics is used to make inferences about a population based on a sample. This can include testing hypotheses about relationships between variables, estimating population parameters, and predicting future events. Inferential statistics uses a variety of statistical tests, such as t-tests, chi-squared tests, and ANOVA, to draw conclusions about the population based on the sample data.
In addition to descriptive and inferential statistics, there are two other important types of statistical analysis: correlation analysis and regression analysis.
Correlation analysis is used to measure the strength and direction of the relationship between two variables. Correlation coefficients, such as Pearson's r and Spearman's rho, can be used to quantify the strength of the relationship, and to determine whether the relationship is positive or negative.
Regression analysis is used to model the relationship between a dependent variable and one or more independent variables. Regression models can be used to predict the value of the dependent variable based on the values of the independent variables.
Statistical analysis is a powerful tool that can be used to answer a wide range of questions in a variety of fields, including science, engineering, medicine, business, and social sciences.
Correlation and Regression Analysis: Learn Everything With Examples
Descriptive Vs Inferential Statistics: Difference Between them with definition & comparison
Difference between Descriptive Statistics and Inferential Statistics|Types of Statistic
What is Descriptive Statistics And Inferential Statistics
Data Analysis using SPSS Software
Data Entry and import
Descriptive Analysis
Correlation and Regression
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