Suppose the management claims that the proportion of games that your team wins when scoring 102 or more points is 0.90. Test this claim using a 5% level of significance. Make the following edits to the code block below:

1. Replace ??COUNT_VAR?? with the variable name that represents the number of games won when your team scores over 102 points. (Hint: this variable is in the code block below).
2. Replace ??NOBS_VAR?? with the variable name that represents the total number of games when your team scores over 102 points. (Hint: this variable is in the code block below).
3. Replace ??NULL_HYPOTHESIS_VALUE?? with the proportion under the null hypothesis.

from statsmodels.stats.proportion import proportions_ztest

your_team_gt_102_df = your_team_df[(your_team_df['pts'] > 102)]

# Number of games won when your team scores over 102 points counts = (your_team_gt_102_df['game_result'] == 'W').sum()

# Total number of games when your team scores over 102 points nobs = len(your_team_gt_102_df['game_result'])

p = counts*1.0/nobs

print("Proportion of games won by your team when scoring more than 102 points in the years 2013 to 2015 =", round(p,4))

# Hypothesis Test # ---- TODO: make your edits here ---- test_statistic, p_value = proportions_ztest(??COUNT_VAR??, ??NOBS_VAR??, ??NULL_HYPOTHESIS_VALUE??, prop_var=??NULL_HYPOTHESIS_VALUE??)

print("Hypothesis Test for the Population Proportion") print("Test Statistic =", round(test_statistic,2)) print("P-value =", round(p_value,4))

I cannot seem to figure out what to insert. Would love help because I keep getting errors

test_statistic, p_value = proportions_ztest( counts, nobs, 0.90, prop_var=??NULL_HYPOTHESIS_VALUE??)