Question

Step 1: Graph Your Data
Create a line or bar graph of temperature versus reaction time using the data from all three cups. Make sure your data is accurately represented. Note: Insert your data here.

Data Hot Water Cold Water Room Temperature Water
Temperature °F 196 °F 122 °F 168
Time to Dissolve 18.35 seconds 1:46.59 30.77 seconds
Notes/ Observations So far what I know is that in the Hot water it dissolves the fastest. So far what I know is that in the cold water it takes the longest to dissolve So far what I know is that in the Room temp water it doesn’t take too long but not that fast ether .

Answer 1

I can’t insert an image here, but below are (A) the cleaned numeric data, (B) ready-to-run plotting code (Python/matplotlib) you can use to create a clear line or bar graph, (C) step-by-step instructions for Excel/Google Sheets, and (D) a quick ASCII bar chart for an immediate visual.

A — Cleaned numeric data (times converted to seconds)
- Hot water: Temperature = 196 °F, Time = 18.35 s
- Room temperature water: Temperature = 168 °F, Time = 30.77 s
- Cold water: Temperature = 122 °F, Time = 1:46.59 = 106.59 s

B — Python / matplotlib code (copy-paste and run)
```python
import matplotlib.pyplot as plt

# Data
temps = [196, 168, 122] # °F
times = [18.35, 30.77, 106.59] # seconds
labels = ['Hot (196°F)', 'Room (168°F)', 'Cold (122°F)']

# Bar chart
plt.figure(figsize=(6,4))
plt.bar(labels, times, color=['#ff7f0e','#1f77b4','#2ca02c'])
plt.ylabel('Time to Dissolve (s)')
plt.title('Time to Dissolve vs Water Temperature')
for i, v in enumerate(times):
plt.text(i, v + max(times)*0.02, f'{v:.2f}s', ha='center')
plt.ylim(0, max(times)*1.15)
plt.show()

# Optional: line plot (temperature on x-axis)
plt.figure(figsize=(6,4))
# sort by temperature so the line is meaningful
pairs = sorted(zip(temps, times))
x, y = zip(*pairs)
plt.plot(x, y, marker='o')
for xi, yi in zip(x, y):
plt.text(xi, yi + max(y)*0.02, f'{yi:.2f}s', ha='center')
plt.xlabel('Temperature (°F)')
plt.ylabel('Time to Dissolve (s)')
plt.title('Dissolve Time vs Temperature')
plt.gca().invert_xaxis() # optional: show higher temp on left (emphasize faster at higher temp)
plt.show()
```
Notes: the bar chart shows each cup grouped; the line plot shows the trend of time vs temperature.

C — How to make this graph in Excel or Google Sheets
1. Put data in two columns, e.g.:
- A1: Temperature (°F), A2: 196, A3: 168, A4: 122
- B1: Time (s), B2: 18.35, B3: 30.77, B4: 106.59
- Optionally C1: Label, C2: Hot, C3: Room, C4: Cold
2. Select the range A1:B4 (or include labels).
3. Insert → Chart. For a bar chart choose “Column chart”; for a line chart choose “Scatter with lines” or “Line chart”.
4. If you used temperature as the x-axis, set the temperature column as the X values and time as Y.
5. Add axis titles: X = Temperature (°F), Y = Time to Dissolve (s). Add data labels if desired.

D — Quick ASCII bar chart (bars proportional to time)
Scale: 1 “#” ≈ 4 seconds
- Hot (196°F) 18.35 s: ##### (≈ 4.6 → 5)
- Room (168°F) 30.77 s: ######## (≈ 7.7 → 8)
- Cold (122°F) 106.59 s: ######################### (≈ 26.6 → 27)

Interpretation (short)
- Higher temperature -> shorter dissolve time. The cold water (122 °F) took the longest (≈106.6 s), hot water (196 °F) was fastest (≈18.35 s), room temp was intermediate (≈30.77 s).

If you want, I can:
- generate and attach a PNG of the plot,
- switch the axes (time on x, temp on y),
- include error bars if you have repeated trials.