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    }

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        vertical-align: top;
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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>gender</th>
      <th>race_ethnicity</th>
      <th>parental_level_of_education</th>
      <th>lunch</th>
      <th>test_preparation_course</th>
      <th>math_score</th>
      <th>reading_score</th>
      <th>writing_score</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>group B</td>
      <td>bachelor's degree</td>
      <td>standard</td>
      <td>none</td>
      <td>72</td>
      <td>72</td>
      <td>74</td>
    </tr>
    <tr>
      <th>1</th>
      <td>female</td>
      <td>group C</td>
      <td>some college</td>
      <td>standard</td>
      <td>completed</td>
      <td>69</td>
      <td>90</td>
      <td>88</td>
    </tr>
    <tr>
      <th>2</th>
      <td>female</td>
      <td>group B</td>
      <td>master's degree</td>
      <td>standard</td>
      <td>none</td>
      <td>90</td>
      <td>95</td>
      <td>93</td>
    </tr>
    <tr>
      <th>3</th>
      <td>male</td>
      <td>group A</td>
      <td>associate's degree</td>
      <td>free/reduced</td>
      <td>none</td>
      <td>47</td>
      <td>57</td>
      <td>44</td>
    </tr>
    <tr>
      <th>4</th>
      <td>male</td>
      <td>group C</td>
      <td>some college</td>
      <td>standard</td>
      <td>none</td>
      <td>76</td>
      <td>78</td>
      <td>75</td>
    </tr>
  </tbody>
</table>
</div>

   gender race_ethnicity parental_level_of_education         lunch  \
0  female        group B           bachelor's degree      standard   
1  female        group C                some college      standard   
2  female        group B             master's degree      standard   
3    male        group A          associate's degree  free/reduced   
4    male        group C                some college      standard   

  test_preparation_course  math_score  reading_score  writing_score  
0                    none          72             72             74  
1               completed          69             90             88  
2                    none          90             95             93  
3                    none          47             57             44  
4                    none          76             78             75  

stdout

T-statistic: -4.169913529142
P-value: 3.311973638243664e-05
We reject the null hypothesis. There is a statistically significant difference in scores between male and female students.


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    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>parental_level_of_education</th>
      <th>math_score</th>
      <th>reading_score</th>
      <th>writing_score</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>associate's degree</td>
      <td>67.882883</td>
      <td>70.927928</td>
      <td>69.896396</td>
    </tr>
    <tr>
      <th>1</th>
      <td>bachelor's degree</td>
      <td>69.389831</td>
      <td>73.000000</td>
      <td>73.381356</td>
    </tr>
    <tr>
      <th>2</th>
      <td>high school</td>
      <td>62.137755</td>
      <td>64.704082</td>
      <td>62.448980</td>
    </tr>
    <tr>
      <th>3</th>
      <td>master's degree</td>
      <td>69.745763</td>
      <td>75.372881</td>
      <td>75.677966</td>
    </tr>
    <tr>
      <th>4</th>
      <td>some college</td>
      <td>67.128319</td>
      <td>69.460177</td>
      <td>68.840708</td>
    </tr>
    <tr>
      <th>5</th>
      <td>some high school</td>
      <td>63.497207</td>
      <td>66.938547</td>
      <td>64.888268</td>
    </tr>
  </tbody>
</table>
</div>

  parental_level_of_education  math_score  reading_score  writing_score
0          associate's degree   67.882883      70.927928      69.896396
1           bachelor's degree   69.389831      73.000000      73.381356
2                 high school   62.137755      64.704082      62.448980
3             master's degree   69.745763      75.372881      75.677966
4                some college   67.128319      69.460177      68.840708
5            some high school   63.497207      66.938547      64.888268

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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
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    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>test_preparation_course</th>
      <th>math_score</th>
      <th>reading_score</th>
      <th>writing_score</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>completed</td>
      <td>69.695531</td>
      <td>73.893855</td>
      <td>74.418994</td>
    </tr>
    <tr>
      <th>1</th>
      <td>none</td>
      <td>64.077882</td>
      <td>66.534268</td>
      <td>64.504673</td>
    </tr>
  </tbody>
</table>
</div>

  test_preparation_course  math_score  reading_score  writing_score
0               completed   69.695531      73.893855      74.418994
1                    none   64.077882      66.534268      64.504673

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        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>race_ethnicity</th>
      <th>math_score</th>
      <th>reading_score</th>
      <th>writing_score</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>group A</td>
      <td>61.629213</td>
      <td>64.674157</td>
      <td>62.674157</td>
    </tr>
    <tr>
      <th>1</th>
      <td>group B</td>
      <td>63.452632</td>
      <td>67.352632</td>
      <td>65.600000</td>
    </tr>
    <tr>
      <th>2</th>
      <td>group C</td>
      <td>64.463950</td>
      <td>69.103448</td>
      <td>67.827586</td>
    </tr>
    <tr>
      <th>3</th>
      <td>group D</td>
      <td>67.362595</td>
      <td>70.030534</td>
      <td>70.145038</td>
    </tr>
    <tr>
      <th>4</th>
      <td>group E</td>
      <td>73.821429</td>
      <td>73.028571</td>
      <td>71.407143</td>
    </tr>
  </tbody>
</table>
</div>

  race_ethnicity  math_score  reading_score  writing_score
0        group A   61.629213      64.674157      62.674157
1        group B   63.452632      67.352632      65.600000
2        group C   64.463950      69.103448      67.827586
3        group D   67.362595      70.030534      70.145038
4        group E   73.821429      73.028571      71.407143

Statistical Analysis: Gender Differences in Student Scores

test the hypothesis which states that there will be no statistically significant difference in the scores of the male and female students.

Hypothesis Testing Summary

Continue the analysis

Analyzing the impact of parental level of education on student scores

Impact of Parental Level of Education on Student Scores

Investigate the impact of test preparation course on student performance

Impact of Test Preparation Course on Student Performance

Explore the relationship between race/ethnicity and student scores.

Relationship Between Race/Ethnicity and Student Scores