My team that I choose was the Lakers import scipy.stats as st# Mean relative skilL level of your teammean_elo_your_team = your_team_df['elo_n'].mean()print("Mean Relative Skill of your team in the years 2013 to 2015 =", round(mean_elo_your_team,2))# Hypothesis Test# ---- TODO: make your edits heretest_statistic, p_value = st.ttest_1samp (??DATAFRAME_YOUR_TEAM??[??RELATIVE_SKILL??],??NULL_HYPO1print("Hypothesis Test for the Population Mean")print("Test Statistic =", round (test_statistic, 2))print("P-value =", round(p_value, 4)) Step 3: Hypothesis Test for the Population Mean (I)A relative skill level of 1342 represents a critically low skill level in the league. The management of your team hashypothesized that the average relative skill level of your team in the years 2013-2015 is greater than 1342. Test this claimusing a 5% level of significance. For this test, assume that the population standard deviation for relative skill level is unknown.Make the following edits to the code block below:1. Replace ??DATAFRAME_YOUR_TEAM?? with the name of your team's dataframe. See Step 2 for the name of yourteam's dataframe.2. Replace ??RELATIVE_SKILL?? with the name of the variable for relative skill. See the table included in the Project Twoinstructions above to pick the variable name. Enclose this variable in single quotes. For example, if the variable name isvar2 then replace ??RELATIVE_SKILL?? with 'var2'.3. Replace ??NULL_HYPOTHESIS_VALUE?? with the mean value of the relative skill under the null hypothesis.After you are done with your edits, click the block of code below and hit the Run button above.

Given: import scipy.stats as st# Mean reLative skill Level of your teammean elo_your_team =…

import scipy.stats as st # Mean relative skilLL Level of your team mean_elo_your_team = your_team_df['elo_n'].mean() print("Mean Relative Skill of your team in the years 2013 to 2015 =", round(mean_elo_your_team, 2)) # Hypothesis Test # ---- TODO: make your edits here ---- test_statistic, p_value = st.ttest_1samp(??DATAFRAME_YOUR_TEAM??[??RELATIVE_SKILL??], ??NULL_HYPOT print("Hypothesis Test for the Population Mean") print("Test Statistic =", round(test_statistic, 2)) print("P-value =", round(p_value,4))

import scipy.stats as st # Mean relative skilLL Level of your team mean_elo_your_team = your_team_df['elo_n'].mean() print("Mean Relative Skill of your team in the years 2013 to 2015 =", round(mean_elo_your_team, 2)) # Hypothesis Test # ---- TODO: make your edits here ---- test_statistic, p_value = st.ttest_1samp(??DATAFRAME_YOUR_TEAM??[??RELATIVE_SKILL??], ??NULL_HYPOT print("Hypothesis Test for the Population Mean") print("Test Statistic =", round(test_statistic, 2)) print("P-value =", round(p_value,4))

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Question

My team that I choose was the Lakers

import scipy.stats as st
# Mean relative skilL level of your team
mean_elo_your_team = your_team_df['elo_n'].mean()
print("Mean Relative Skill of your team in the years 2013 to 2015 =", round(mean_elo_your_team,2))
# Hypothesis Test
# ---- TODO: make your edits here
test_statistic, p_value = st.ttest_1samp (??DATAFRAME_YOUR_TEAM??[??RELATIVE_SKILL??],
??NULL_HYPO1
print("Hypothesis Test for the Population Mean")
print("Test Statistic =", round (test_statistic, 2))
print("P-value =", round(p_value, 4))

Step 3: Hypothesis Test for the Population Mean (I)
A relative skill level of 1342 represents a critically low skill level in the league. The management of your team has
hypothesized that the average relative skill level of your team in the years 2013-2015 is greater than 1342. Test this claim
using a 5% level of significance. For this test, assume that the population standard deviation for relative skill level is unknown.
Make the following edits to the code block below:
1. Replace ??DATAFRAME_YOUR_TEAM?? with the name of your team's dataframe. See Step 2 for the name of your
team's dataframe.
2. Replace ??RELATIVE_SKILL?? with the name of the variable for relative skill. See the table included in the Project Two
instructions above to pick the variable name. Enclose this variable in single quotes. For example, if the variable name is
var2 then replace ??RELATIVE_SKILL?? with 'var2'.
3. Replace ??NULL_HYPOTHESIS_VALUE?? with the mean value of the relative skill under the null hypothesis.
After you are done with your edits, click the block of code below and hit the Run button above.

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