Question

Asked Sep 16, 2019

Are you more likely to be satisfied with your automobile purchase when it is new or used? The following data represent the level of satisfaction of the buyer for both new and used cars.

New | Used | |

Not satisfied | 10 | 20 |

Satisfied | 50 | 30 |

A) Identify the explanatory variable/response variable/row variable/column variable.

B)Construct a frequency marginal distribution.

New | Used | Marginal Distribution | |

Not Satisfied | 10 | 20 | |

Satisfied | 50 | 30 | |

Marginal Distribution |

C) Construct a relative frequency marginal distribution

New | Used | Relative Frequency Marginal Distribution | |

Not Satisfied | 10 | 20 | |

Satisfied | 50 | 30 | |

Relative frequency distribution |

Step 1

The given data represent the level of satisfaction of the buyer for both new and used cars.

Step 2

- A)

**Explanatory variable:**

The variable that is controlled in the experiment is called explanatory variable. Here, the explanatory variable is **new or used car**.

**Response variable: **

The response variable is the outcome variable on which comparisons of different explanatory variable will be made. Whether or not satisfied with automobile purchase when it is used or not is the outcome variable here. Therefore, the response variable is **level of satisfaction of the buyer.**

The row variable here is **level of satisfaction of the buyer.**

And, the column variable is **new or used car.**

Step 3

B)

**Frequency marginal distribution:**

The sum of row entries is the row frequency marginal distribution whereas the sum of column frequency is the c...

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