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.

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
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