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Hypothesis Testing with Men's and Women's Soccer Matches
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Hypothesis Testing with Men's and Women's Soccer Matches
Hypothesis Testing with Men's and Women's Soccer Matches
- 1
Perform an appropriate hypothesis test to determine if more goals are scored in women's soccer matches than men's.
FAQs
Is this project suitable for beginners?
Yes, this project is suitable for beginners. It covers the fundamentals of hypothesis testing as well as basic programming in R.
What is the programming language of this project?
This project is programmed using R.
Can I add this project to my Data Portfolio?
Yes, users can add this project to their Data Portfolio after completion.
Do I need to download any software to complete this project?
No, users do not need to download any additional software as they can complete the project in DataCamp Workspace.
What type of hypothesis test will I be performing?
You will be performing a one-sample two-tailed t-test.
What is the null hypothesis?
The null hypothesis is that there is no difference in the number of goals scored in women's soccer matches and men's soccer matches.
What is the alternative hypothesis?
The alternative hypothesis is that there is a difference in the number of goals scored in women's soccer matches and men's soccer matches.
How do I interpret the results?
You will interpret the results by calculating the p-value. A p-value of less than 0.05 means that there is statistically significant evidence that the null hypothesis is false.
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