1. Replace ??MEAN with the ython funct 2. Replace ??MEDIAN_FUNCTION?? 3. Replace ??VAR_FUNCTION?? 4. Replace ??STD_FUNCTION?? with the name of Python function that calculates the standard deviation. with the name of Python function that calculates the median. with the name of Python function that calculates the variance. After you are done with your edits, click the block of code below and hit the Run button above. print("Points Scored by Your Team in Home Games (2013 to 2015)") print(". -") your_team_home_df = your_team_df[your_team_df['game_location'] == 'H']. copy() TODO: make your edits here your_team_home_df['pts'].mean() # mean = median = your_team_home_df['pts'].median() variance = your_team_home_df['pts'].var() stdeviation your_team_home_df['pts'].std() print('Mean = ', round(mean, 2)) print('Median =', round (median, 2)) print('Variance =', round(variance, 2)) print('standard Deviation =', round(stdeviation, 2)) Points Scored by Your Team in Home Games (2013 to 2015) Mean = 98.82 Median = 99.5 Variance = 107.67 Standard Deviation = 10.38
1. Replace ??MEAN with the ython funct 2. Replace ??MEDIAN_FUNCTION?? 3. Replace ??VAR_FUNCTION?? 4. Replace ??STD_FUNCTION?? with the name of Python function that calculates the standard deviation. with the name of Python function that calculates the median. with the name of Python function that calculates the variance. After you are done with your edits, click the block of code below and hit the Run button above. print("Points Scored by Your Team in Home Games (2013 to 2015)") print(". -") your_team_home_df = your_team_df[your_team_df['game_location'] == 'H']. copy() TODO: make your edits here your_team_home_df['pts'].mean() # mean = median = your_team_home_df['pts'].median() variance = your_team_home_df['pts'].var() stdeviation your_team_home_df['pts'].std() print('Mean = ', round(mean, 2)) print('Median =', round (median, 2)) print('Variance =', round(variance, 2)) print('standard Deviation =', round(stdeviation, 2)) Points Scored by Your Team in Home Games (2013 to 2015) Mean = 98.82 Median = 99.5 Variance = 107.67 Standard Deviation = 10.38
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
I need help with this code.
I also attached the part 6 it references
Transcribed Image Text:Step 7 - Descriptive Statistics - Points Scored By Your Time in Away Games
The management also wants you to run descriptive statistics on the points scored by your team in games played at opponent's venue (Away) in 2013-2015.
They want you to analyze measures of central tendency (e.g. mean, median) and measures of spread (e.g. standard deviation) in explaining if the team is
doing better in Home games compared to Away games. Calculate descriptive statistics including the mean, median, variance, and standard deviation for points
scored by your team played in opponent's venue (Away). Make the following edits to the code block below:
You are to write this code block yourself.
Use Step 6 to help you write this code block. Here is some information that will help you write this code block.
1. Since you are calculating statistics for games played at opponent's venue, game_location variable should be set to 'A'.
2. Functions for all statistics are the same as those in step 6.
3. Your statistics should be rounded to two decimal places.
![1. Replace ??MEAN_FUNCTION?? with the name of Python function that calculates the mean.
2. Replace ??MEDIAN_FUNCTION?? with the name of Python function that calculates the median.
3. Replace ??VAR_FUNCTION?? with the name of Python function that calculates the variance.
4. Replace ??STD_FUNCTION?? with the name of Python function that calculates the standard deviation.
After you are done with your edits, click the block of code below and hit the Run button above.
In [19]: print("Points Scored by Your Team in Home Games (2013 to 2015)")
print("-
-")
your_team_home_df = your_team_df[your_team_df ['game_location'] == 'H']. copy()
# ---- TODO: make your edits here
mean = your_team_home_df['pts'].mean()
median = your_team_home_df['pts'].median()
variance your_team_home_df['pts'].var()
stdeviation = your_team_home_df['pts'].std()
print('Mean =', round(mean,2))
print('Median
, round (median, 2))
print('Variance =', round (variance, 2))
print('Standard Deviation =', round(stdeviation, 2))
Points Scored by Your Team in Home Games (2013 to 2015)
Mean 98.82
Median
99.5
Variance = 107.67
Standard Deviation = 10.38](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F974a6490-992c-41a2-b80f-51ad98fb1a32%2Ffc07b4ef-a2f2-47f9-8e4e-c5492d819e72%2Fek0oxtn_processed.png&w=3840&q=75)
Transcribed Image Text:1. Replace ??MEAN_FUNCTION?? with the name of Python function that calculates the mean.
2. Replace ??MEDIAN_FUNCTION?? with the name of Python function that calculates the median.
3. Replace ??VAR_FUNCTION?? with the name of Python function that calculates the variance.
4. Replace ??STD_FUNCTION?? with the name of Python function that calculates the standard deviation.
After you are done with your edits, click the block of code below and hit the Run button above.
In [19]: print("Points Scored by Your Team in Home Games (2013 to 2015)")
print("-
-")
your_team_home_df = your_team_df[your_team_df ['game_location'] == 'H']. copy()
# ---- TODO: make your edits here
mean = your_team_home_df['pts'].mean()
median = your_team_home_df['pts'].median()
variance your_team_home_df['pts'].var()
stdeviation = your_team_home_df['pts'].std()
print('Mean =', round(mean,2))
print('Median
, round (median, 2))
print('Variance =', round (variance, 2))
print('Standard Deviation =', round(stdeviation, 2))
Points Scored by Your Team in Home Games (2013 to 2015)
Mean 98.82
Median
99.5
Variance = 107.67
Standard Deviation = 10.38
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