Create a Histogram, Relative Frequency, and Cumulative Relative Frequency from a Grouped Data

Описание: Grouped Data, frequency distribution, relative frequency/probability.

(AP Statistics / Grouped Data lesson). ([YouTube][1])
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In this *AP Statistics* lesson, you’ll learn *Grouped Data* the easy way—how to build a complete *Frequency Distribution Table* and use it to create a *Histogram* step-by-step. We’ll also calculate **Relative Frequency**, **Cumulative Relative Frequency (Cumulative Probability)**, and **Class Midpoints**, then connect everything to real exam-style interpretation questions.

By the end of this video, you’ll be able to:
✅ Choose *class width* and create *class intervals*
✅ Complete a *frequency distribution table* (frequency, relative frequency, cumulative relative frequency)
✅ Interpret *relative frequency as probability*
✅ Find *cumulative probability* for “at most / less than” questions
✅ Calculate *class midpoints* correctly
✅ Draw and interpret a *histogram* from grouped data

📌 If you’re studying for **AP Stats, high school statistics, college stats, GED/SAT data questions**, this is a must-watch.

👍 Like, subscribe, and share with a friend who needs statistics support!

*Elevate with Roxanna.*

timestamps / Chapters

0:00 Intro: What you’ll learn (Grouped Data → Histogram)
0:40 What is grouped data? Why we group large datasets
1:30 Frequency distribution table overview (what each column means)
2:40 Choosing number of classes + class width (quick method)
4:10 Writing class intervals (limits & boundaries)
5:45 Tally marks → finding frequency
7:30 Relative frequency (formula + meaning)
9:10 Relative frequency as probability (exam interpretation)
10:55 Cumulative relative frequency (how to compute)
12:40 Cumulative probability: “at most / less than” questions
14:30 Class midpoints (formula + common mistakes)
16:10 Creating the histogram from the grouped table
18:20 Interpreting the histogram (peaks, spread, shape)
20:10 Summary recap + quick practice challenge
21:00 Outro + CTA (comment/subscribe)


By the end of this video, you’ll be able to:

Create class intervals (lower/upper limits & boundaries)
Complete a frequency distribution table
Calculate *relative frequency* and interpret it as *probability*
Find *cumulative relative frequency* and use it for “at most / at least” questions
Compute *class midpoints* correctly
Draw and interpret a *histogram* from grouped data

*Elevate with Roxanna.*

Timeline / Chapters (YouTube Timestamps)