1. Find the 5-number summary for the Midterm 1 data.

2. Find the 5-number summary for the Midterm 2 data.

3. Draw two boxplots *– one for the Midterm 1 data and one for the Midterm 2 data – *side-by-side and compare.

4. Compute the mean and standard deviation for the Midterm 1 data.

5. Compute the mean and standard deviation for the Midterm 2 data.

6. Create a new variable for the *differences *in the score. For example, the first student in the Excel file scored 50 on Midterm 1 and 44 on Midterm 2, so this student should have a difference of Midterm 2 – Midterm 1 = 44 – 50 = -6 (the score went down from MT1 to MT2 so the difference should be negative.

7. Find the 5-number summary, mean, and standard deviation for Differences data. Create a histogram for the Differences.

8. Create a scatterplot for the Midterm 1 vs. Midterm 2 paired data, using Midterm 1 as the explanatory variable.

9. Find the equation of the linear regression model for the data you plotted in #8. Compute the R^2 value for this fit.

10. Write a paragraph or two interpreting all of the results from questions #1-9.

Midterm 1 | Midterm 2 |

50 | 44 |

50 | 36 |

49 | 25 |

48 | 43 |

45 | 38 |

43 | 50 |

43 | 41 |

42 | 40 |

41 | 44 |

41 | 43 |

37 | 17 |

36 | 25 |

36 | 23 |

35 | 19 |

33 | 43 |

33 | 14 |

33 | 17 |

32 | 29 |

32 | 15 |

32 | 29 |

32 | 21 |

32 | 27 |

30 | 3 |

29 | 13 |

29 | 31 |

23 | 9 |

21 | 11 |

21 | 15 |

18 | 18 |