• the chicago bears are the best football team
• for the problem you chose, what would be the independent variable?
• i think the independent variable is the factor that we can manipulate in an experiment. my brain is saying that we can use new pair of shoes on the speed so we will use the manipaulte the new shoes or the old shoes!
• (measuring the independent variable)
• how would you measure your dependent variable?
• so what im thinking is that we can measure the depedent variable shoes by speed. by how long it takes to run a fixed disance from 100 meters...|
• what would you keep constant?
• which of the four options above doesn’t fit? why?
• draw (or attach a drawing) of a possible data table for your experiment.

Question

Accepted Answer

### 1. Independent Variable
# Brief Explanations:
The experiment seems to be about how shoe type (new or old) affects speed. The independent variable is what's manipulated, so here it's the type of shoes (new or old shoes).
# Answer:
The independent variable is the type of shoes (new shoes or old shoes).

### 2. Measuring Dependent Variable
# Brief Explanations:
The dependent variable is speed (related to how long it takes to run). To measure it, we can time how long it takes to run a fixed distance (like 100 meters) using a stopwatch. Record the time in seconds for each trial with different shoe types.
# Answer:
Measure the dependent variable (speed - related to running time) by using a stopwatch to record the time (in seconds) it takes to run a fixed distance (e.g., 100 meters) while wearing the shoes (new or old).

### 3. What to Keep Constant
# Brief Explanations:
To ensure a fair test, factors like the runner (same person to have consistent running ability), the running distance (keep it 100 meters always), the running track/terrain (same surface), and the weather conditions (test on similar days) should be kept constant. Also, the time of day (to avoid differences in energy levels) can be constant.
# Answer:
- The runner (use the same person for all trials).
- The running distance (e.g., 100 meters, keep it fixed).
- The running surface (e.g., same track or road).
- Weather conditions (test on days with similar temperature, wind, etc.).
- Time of day (run at the same time to have consistent energy levels).

### 4. Which Doesn't Fit?
# Brief Explanations:
The statement "The Chicago Bears are the best football team" doesn't fit. The rest are about an experiment (variables, measurement, constants, data table), but this is a subjective sports opinion unrelated to the experimental design context.
# Answer:
"The Chicago Bears are the best football team" doesn't fit. Reason: The other items are related to designing an experiment (variables, measurement, constants, data table), while this is a subjective statement about a football team, not related to the experimental process.

### 5. Data Table
# Brief Explanations:
A data table for this experiment would have columns for trial number, shoe type (independent variable), and time taken (dependent variable, in seconds for 100 meters). We can have multiple trials for each shoe type to get accurate results.
# Answer:

| Trial Number | Shoe Type | Time Taken (seconds) |
|--------------|-----------|----------------------|
| 1            | New Shoes |                      |
| 2            | New Shoes |                      |
| 3            | New Shoes |                      |
| 1            | Old Shoes |                      |
| 2            | Old Shoes |                      |
| 3            | Old Shoes |                      |

(Note: In an actual experiment, you would fill in the time taken for each trial after conducting the runs with new and old shoes.)

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QUESTION IMAGE

Question

Explanation:

1. Independent Variable

Answer:

2. Measuring Dependent Variable