Worksheet on graphing and analyzing scientific data, including types of graphs, parts of a graph, and a bar graph exercise with deer population data.

Solution to the Problem: Graphing Deer Population Data

We are asked to create a bar graph using the provided data on the number of deer observed each month from September to February. Let's go step by step.

---

Step 1: Understand the Data

The table provides:

| Month | # of Deer |
|-------|-----------|
| Sept | 38 |
| Oct | 32 |
| Nov | 26 |
| Dec | 20 |
| Jan | 15 |
| Feb | 12 |

- The independent variable is the month, which we control and place on the X-axis.
- The dependent variable is the number of deer, which changes based on the month, so it goes on the Y-axis.

---

Step 2: Determine Scales for Axes

#### X-axis (Months):
- Label: Month
- Categories: Sept, Oct, Nov, Dec, Jan, Feb
- Each month gets one bar, so we need 6 bars evenly spaced.

#### Y-axis (Number of Deer):
- Range: From 12 to 38
- Maximum value = 38
- Minimum value = 12
- So, we need to cover at least 0 to 40 to allow room for labeling and clarity.
- Choose a scale where each grid line represents 5 units:
- 0, 5, 10, 15, 20, 25, 30, 35, 40

This gives us enough space and makes the graph easy to read.

---

Step 3: Draw the Bar Graph

Now, let’s sketch this on the provided grid:

#### Labeling:
- Title: "Deer Population by Month"
- X-axis label: "Month"
- Y-axis label: "# of Deer"

#### Bars:
For each month, draw a bar with height corresponding to the number of deer:

| Month | Height (in units of 5) | Bar Height (approx.) |
|-------|------------------------|----------------------|
| Sept | 38 → ~7.6 units | ~7.6 squares |
| Oct | 32 → ~6.4 units | ~6.4 squares |
| Nov | 26 → ~5.2 units | ~5.2 squares |
| Dec | 20 → ~4.0 units | ~4.0 squares |
| Jan | 15 → ~3.0 units | ~3.0 squares |
| Feb | 12 → ~2.4 units | ~2.4 squares |

> Since the grid is likely 10x10 or similar, you can use the full vertical space. For example, if each square is 1 unit, then just mark the Y-axis from 0 to 40 in increments of 5.

---

Final Graph Description (as you would draw it):

```
Deer Population by Month

# of Deer
40 |
35 | █
30 | █
25 | █ █
20 | █ █ █
15 | █ █ █ █
10 | █ █ █ █ █
5 | █ █ █ █ █ █
0 +----------------------------------
Sept Oct Nov Dec Jan Feb
Month
```

(Note: This is a rough ASCII representation; actual bars should be drawn proportionally.)

Each bar's height corresponds to the number of deer:
- Sept: 38 → tallest
- Oct: 32
- Nov: 26
- Dec: 20
- Jan: 15
- Feb: 12 → shortest

---

Explanation of the Graph

- The bar graph is appropriate because we are comparing the number of deer across different months (categorical data).
- The X-axis shows time (months), which is the independent variable.
- The Y-axis shows the dependent variable (number of deer).
- The graph clearly shows a decreasing trend in deer population from September to February.

---

✔ Final Answer:

You should now have a properly labeled bar graph with:
- Title: *"Deer Population by Month"*
- X-axis: Labeled "Month", with categories: Sept, Oct, Nov, Dec, Jan, Feb
- Y-axis: Labeled "# of Deer", scaled from 0 to 40 in increments of 5
- Bars drawn to correct heights based on data

This visual representation helps scientists quickly see patterns—such as a decline in deer numbers over winter months.

Let me know if you'd like a digital version or help drawing it!