MODULE 3 Flashcards
Measures linear correlation between two numerical variables
Pearson Correlation Coefficient
It is a branch of statistics that involves using sample data to make conclusions or predictions about a larger population.
Inferential Statistics
a fundamental concept in inferential statistics used to make decisions based on sample data for population.
Hypothesis testing
Inferential statistics encompasses techniques and methods used to:
Test hypotheses and make decisions about population characteristics
(hypothesis testing).
Make predictions or forecast future outcomes based on data (predictive
modeling)
measures the strength and direction of the linear relationship between two variables.
correlation
It allows us to infer or generalize findings from a sample to the population it represents.
Inferential Statistics
guides our decision-making in hypothesis testing by setting a threshold for accepting or rejecting the null hypothesis based on the observed data
Significance level
when the population standard deviation (σ) is unknown and must be estimated from the sample.
T-test
Functions of Diagnostic Analytics
Identify Anomalies
Drill into Analytics (Discovery)
Determine Casual Relationships
is used to determine whether there is a significant association between two categorical variables
Chi-Square Test
a statistical test used to determine whether there is a significant difference between sample and population means, or between the means of two samples
Z-test
is robust for small sample sizes and is appropriate when dealing with less than 30 samples or when the population standard deviation is unknown
T-test
Independent variable does influence dependent variable
Alternative hypothesis
in simple terms is like a range or a “guess” about where a population value might fall. It’s not an exact value, but rather a range of values that we can be reasonably confident the true population value lies within
Confidence interval
Steps in hypothesis testing
Formulate hypothesis
Choose significant level
Select test statistic
Calculate P-value
Make decision
Draw conclusion