Question
he table at the right shows the random sample that Jeremy generated from the same population as Morgan’s and Maddy’s samples. Make a histogram from Jeremy’s sample.
Drag the points on the graph to create bars.
A chart showing "Jeremey's sample". First row is 77, 8, 32, 17. Second row is 34, 95, 81, 57. Third row is 125, 116, 30, 126. Fourth row is 92, 61, 22, 36. Fifth row is 111, 68, 110, 69.
Drag the points on the graph to create bars.
A chart showing "Jeremey's sample". First row is 77, 8, 32, 17. Second row is 34, 95, 81, 57. Third row is 125, 116, 30, 126. Fourth row is 92, 61, 22, 36. Fifth row is 111, 68, 110, 69.
Answers
GPT-4o mini
To create a histogram from Jeremy's sample data, we first need to organize the data points and determine the frequency distribution.
Based on your description, Jeremy's sample contains the following values:
- Row 1: 77, 8, 32, 17
- Row 2: 34, 95, 81, 57
- Row 3: 125, 116, 30, 126
- Row 4: 92, 61, 22, 36
- Row 5: 111, 68, 110, 69
### Step 1: Combine the values into a single list
Combining all the values:
```
8, 17, 22, 30, 32, 34, 36, 57, 61, 68, 69, 77, 81, 92, 95, 110, 111, 116, 125, 126
```
### Step 2: Determine the range
The minimum value is **8** and the maximum value is **126**.
### Step 3: Choose the bins
You can choose bins based on a range. For example, intervals of 10 could work well:
- 0-9
- 10-19
- 20-29
- 30-39
- 40-49
- 50-59
- 60-69
- 70-79
- 80-89
- 90-99
- 100-109
- 110-119
- 120-129
### Step 4: Tally frequencies
Now, count how many values fall into each bin:
- **0-9**: 1
- **10-19**: 2
- **20-29**: 3
- **30-39**: 6
- **40-49**: 0
- **50-59**: 2
- **60-69**: 4
- **70-79**: 2
- **80-89**: 1
- **90-99**: 2
- **100-109**: 2
- **110-119**: 3
- **120-129**: 2
### Step 5: Create the Histogram
To visualize this on a histogram, you would plot the bins along the x-axis (representing the ranges) and the counts (frequencies) along the y-axis. Each bin would be represented as a bar that extends to the respective frequency.
### Example Bar Heights:
- **0-9**: 1
- **10-19**: 2
- **20-29**: 3
- **30-39**: 6
- **40-49**: 0
- **50-59**: 2
- **60-69**: 4
- **70-79**: 2
- **80-89**: 1
- **90-99**: 2
- **100-109**: 2
- **110-119**: 3
- **120-129**: 2
With this data, you can plot the histogram accordingly. Each bar's height corresponds to the frequency count for that particular bin of values.
Based on your description, Jeremy's sample contains the following values:
- Row 1: 77, 8, 32, 17
- Row 2: 34, 95, 81, 57
- Row 3: 125, 116, 30, 126
- Row 4: 92, 61, 22, 36
- Row 5: 111, 68, 110, 69
### Step 1: Combine the values into a single list
Combining all the values:
```
8, 17, 22, 30, 32, 34, 36, 57, 61, 68, 69, 77, 81, 92, 95, 110, 111, 116, 125, 126
```
### Step 2: Determine the range
The minimum value is **8** and the maximum value is **126**.
### Step 3: Choose the bins
You can choose bins based on a range. For example, intervals of 10 could work well:
- 0-9
- 10-19
- 20-29
- 30-39
- 40-49
- 50-59
- 60-69
- 70-79
- 80-89
- 90-99
- 100-109
- 110-119
- 120-129
### Step 4: Tally frequencies
Now, count how many values fall into each bin:
- **0-9**: 1
- **10-19**: 2
- **20-29**: 3
- **30-39**: 6
- **40-49**: 0
- **50-59**: 2
- **60-69**: 4
- **70-79**: 2
- **80-89**: 1
- **90-99**: 2
- **100-109**: 2
- **110-119**: 3
- **120-129**: 2
### Step 5: Create the Histogram
To visualize this on a histogram, you would plot the bins along the x-axis (representing the ranges) and the counts (frequencies) along the y-axis. Each bin would be represented as a bar that extends to the respective frequency.
### Example Bar Heights:
- **0-9**: 1
- **10-19**: 2
- **20-29**: 3
- **30-39**: 6
- **40-49**: 0
- **50-59**: 2
- **60-69**: 4
- **70-79**: 2
- **80-89**: 1
- **90-99**: 2
- **100-109**: 2
- **110-119**: 3
- **120-129**: 2
With this data, you can plot the histogram accordingly. Each bar's height corresponds to the frequency count for that particular bin of values.