Question
Probability and Statistics Step1of4 Installations Let's get the installations done, prior to creating tasks. Run the command given below. pip install --user numpy scipy prettytable
Probability and Statistics
Step1of4
Installations
Let's get the installations done, prior to creating tasks.
Run the command given below.
pip install --user numpy scipy
prettytable
Step2of4
Editor Usage
Instructions
- Open app.py file using vim editorvim app.py
- Pressifor inserting content into file.
- Write the required python code.
- Save the file by pressingEsckey and typing:wqin editor.
- Execute the script with commandpython app.py | tee output.txt
- Click on Continue to move to next Task.
Step3of4
Do the Hypothesis Testing
The table shows the contingency table of marital status by education. Use Chi-Square test for testing Homogenity.contingency table of marital status by education.
View the table by executing the following command
python
from prettytable import PrettyTable
t = PrettyTable(['Marital Status','Middle school', 'High School','Bachelor','Masters','PhD'])
t.add_row(['Single',18,36,21,9,6])
t.add_row(['Married',12,36,45,36,21])
t.add_row(['Divorced',6,9,9,3,3])
t.add_row(['Widowed',3,9,9,6,3])
print (t)
exit()
Step4of4
Hypothesis
Null Hypothesis: There is no difference in distribution between the types of education level in terms of marital status.
Alternate Hypothesis: There is a Difference
Code it
Coding
1.Importchi2_contingencyandchi2fromscipy.statspackage.
2.Declare a 2D array with the values mentioned in the contingency table of marital status by education.
3.Calculate and print the values of
- Chi-Square Statistic - Degree of Freedom - P value - Hint: Use chi2_contingency() function
4.Assume the alpha value to be 0.05
5.Compare the P value with alpha and decide whether or not to reject the null hypothesis.
- If Rejected print "Reject the Null Hypothesis" - Else print "Failed to reject the Null Hypothesis"
Execute the script with commandpython app.py | tee output.txt
Sample output 2.33 4.5 8.9 Reject the Null Hypothesis
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