Suppose the management claims that the proportion of games that your team wins when scoring 80 or more points is 0.50. You tested this claim using a 5% level of significance. Explain the steps you took to test this problem and interpret your results.

See Step 5 in the Python script to address the following items:

• In general, how is hypothesis testing used to test claims about a population proportion?
• Summarize all important steps of the hypothesis test. This includes:
• Null Hypothesis (statistical notation and its description in words)
• Alternative Hypothesis (statistical notation and its description in words)
• Level of Significance
• Report the Test Statistic and the P-value in a formatted table as shown below:

Table 4: Hypothesis Test for the Population Proportion

Statistic	Value
Test Statistic	0.00
P-value	1.00

• Conclusion of the hypothesis test and its interpretation based on the P-value