Question

Asked Nov 16, 2019

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Here is a data set:

152 | 157 | 165 | 206 |

208 | 212 | 219 | 235 |

236 | 246 | 248 | 260 |

262 | 267 | 273 | 273 |

274 | 275 | 283 | 286 |

304 | 310 | 315 | 334 |

335 | 343 | 345 | 395 |

Construct a frequency distribution table for this data set.

- Number of classes: 10
- Use a "nice" class width, such as a multiple of 5 or 10.
- Label classes using interval notation.
- For example, if the class is 70-79, label it as [70,79].
- The lower class limit should be a multiple of the class width.
- For example, if the class width is 10, the lower class limit should be a number like 30 or 40 (depending on the data).

Data range | Frequency |
---|---|

Step 1

From the given data set, construct a frequency distribution table.

Let’s take class width =25 and number of classes = 10

As per ask in question, here lower class limit multiple of class width.

Like, 150 = 25 x 6

175 = 25 x 7

200 = 25 x 8 and so on.

Frequency: Number of values between lower limit to upper limit is called as frequency.

Step 2

From the given data set, construct a frequency distribution table.

Let’s take class width =25 and number of classes = 10

As per ask in question, here lower class limit multiple of class width.

Like, 150 = 25 x 6

&...

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