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Formulae for Hypothesis Testing

Lesson 20/26 | Study Time: 0 Min

Course: Statistics for Data Science and Analytics.

# populations

Population

variance

Samples

Statistic

Variance

Formula for

test statistic

Formulae
for
Hypothesis
Testing

Decision rule

There are several ways to phrase
the decision rule and they all have the same meaning.

Reject the
null if:

1) |test statistic| > |critical value|

2) The absolute
value of the test statistic
is bigger than the absolute
critical value

3) p-value < some significance level

most often 0.05

Usually, you will be using the p-value
to make a decision.

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Class Sessions

1- Types of data and level of measurement 2- Graphs and Tables that Represent Categorical Variables 3- Excel formulas 4- Graphs and tables that represent numerical variables 5- Graphs and Tables for Relationships Between Variables. 6- Mean, Median, Mode 7- Variance and Standard Deviation 8- Covariance and Correlation 9- Distributions 10- The Central Limit Theorem 11- Estimators and Estimates 12- Confidence Intervals and the Margin of Error 13- Student’s T Distribution 14- Formulas for Confidence Intervals 15- Scientific method 16- Hypotheses 17- Decisions You Can Take 18- Statistical Errors (Type I Error and Type II Error) 19- P-Value 20- Formulae for Hypothesis Testing 21- Basics 22- Linear regression equation 23- How to do linear regression in Excel with Analysis ToolPak 24- Interpret regression analysis output 25- How to make a linear regression graph in Excel 26- How to do regression in Excel using formulas