Inferential Statistics and its Importance of inferential statistics
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The document discusses inferential statistics, which is the process of using data analysis to infer properties of a broader population based on a sample. It highlights methods such as hypothesis testing and regression analysis, including various tests like t-tests, z-tests, chi-square tests, and ANOVA. The document emphasizes the importance of inferential statistics in testing theories and making conclusions about populations using sample data.
![Inferential
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Inferential Statistics and its Importance of inferential statistics
- 1. Inferential Statistics Types of Inferential Statistics 1. Hypothesis testing 2. Regression analysis f-Test t-Test z-Test Chi-Square Test ANOVA Importance of Inferential Statistics Linear Regression Nominal Regression Logistic Regression Ordinal Regression Dr Muhammad Yousuf Ali PhD (Library & Information Science) Scholarly Communication Consultant Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher
- 2. Types of Inferential Statistics 1. Hypothesis testing Linear Regression Nominal Regression Logistic Regression Ordinal Regression Importance of Inferential Statistics Inferential statistics 2. Regression analysis Scheme of Presentation f-Test t-Test z-Test Chi-Square Test ANOVA Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher
- 3. Inferential Statistics Inferential statistics is the process of using data analysis to infer properties of a probability distribution. It involves using a sample of data to draw conclusions or generalizations about a broader population. Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher
- 4. Inferential Statistics Types of Inferential Statistics Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher 1. Hypothesis testing 2. Regression analysis
- 5. 1. Hypothesis testing Types of Inferential Statistics Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher Hypothesis testing, a type of inferential statistics, involves subjecting research assumptions about a specific population parameter to examination. It’s used to determine the relationship between two or more variables.
- 6. Hypothesis testing Methods Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher t-Test A t-test is a statistical method of hypothesis test. It determines if there is a statistically significant difference between the means of two groups. Inferential Statistics
- 7. An F-test is a statistical test that compares the variances of two samples or the ratio of variances between multiple samples. It's used in hypothesis testing to check whether the variances of two populations or two samples are equal. Hypothesis testing Methods Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher F-Test Inferential Statistics
- 8. Z-test is a statistical hypothesis test that determines whether two population means are different. It's based on the normal distribution and is used when the variances are known and the sample size is large. Hypothesis testing Methods Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher z-Test Inferential Statistics
- 9. The chi-square test is a statistical tool that determines if two categorical variables are related or independent. Hypothesis testing Methods Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher Chi-Square Test Inferential Statistics
- 10. Analysis of Variance (ANOVA) is a statistical method that compares the means of multiple groups. It's used when one independent variable has three or more levels. Hypothesis testing Methods Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher ANOVA Test Inferential Statistics
- 11. Regression analysis is part of inferential statistics, Regression analysis comprises a series of statistical procedures aimed at estimating the relationship between one dependent variable and one or more independent variables. Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher 2. Regression analysis Types of Inferential Statistics Inferential Statistics
- 12. Regression analysis Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher 1. Linear Regression Linear regression is a statistical method that uses data analysis to predict the value of unknown data. It’s also known as simple regression or ordinary least squares (OLS). Inferential Statistics
- 13. Regression analysis Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher Nominal Regression Nominal logistic regression is a statistical modeling technique that examines the relationship between a set of predictors and a nominal response. A nominal response is a result that has three or more outcomes that are not in order. Inferential Statistics
- 14. Regression analysis Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher Logistic Regression Logistic regression is a statistical analysis method that uses mathematics to predict a binary outcome based on prior observations. Inferential Statistics
- 15. Regression analysis Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher Ordinal Regression Ordinal regression is a statistical technique that predicts the behavior of ordinal level dependent variables with a set of independent variables. It is also called ordinal classification. Inferential Statistics
- 16. Imprtance of Inferential Statistics Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher Inferential Statistics •Inferential statistics helpful to Testing theories and make conclusions about populations. •Inferential statistics uses analytical tools to determine what a sample’s data says about the whole population. •Inferential statistics include things like testing a hypothesis and looking at how things change over time.
- 17. Imprtance of Inferential Statistics Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher Inferential Statistics •Inferential statistics utilize sampling methods to identify samples that accurately represent the entire population. •Inferential statistics tests employs (Z test, the t-test, and linear regression) what is ongoing occurrence. • Inferential statistics provide population estimations.
- 18. Inferential Statistics Connect me Muhammad Yousuf Ali [Twitter]: @iam_usuf Facebook: https://www.facebook.com/muhammad.yousuf.7524 Google Scholar : https://scholar.google.com/citations?user=aUSK_kIAAAAJ&hl=en ResearchGate: https://researchgate.net/profile/Muhammad_Ali118 Website http://profileusuf.wordpress.com YouTube 5minutes Information Channel https://www.youtube.com/c/MuhammadYousufAli E-mail : usuf12@gmail.com Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher