welsh, davis, burke, and williams (2002) conducted a study to evaluate the effectiveness of a carbohydrate-electrolyte drink on sports performance and endurance. experienced athletes were given either s carbohydrate-electrolyte drink or a placebo while they were tested on a series of high-intensity exercises. one measure was how much time it took for the athletes to run to fatigue. data similar to the results obtained in the study are shown in the following table.
placebo- mean- 21.7 se-2.2
carbohydrate-electrolyte mean- 28.6 se- 2.7
a. construct a bar graph that incorprates all of the information in the table.
b. looking at your graph, do you think that the carbohydrate-electrolyte drink helps performance?
Although I cannot show a bar graph, you can still test the significance with the process indicated in response to your previous post.
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To construct a bar graph incorporating the information in the table, you would need to plot the means and their corresponding standard errors for the placebo and carbohydrate-electrolyte conditions. The x-axis should represent the different conditions (placebo and carbohydrate-electrolyte), and the y-axis should represent the mean time taken to run to fatigue.
Here is how you can craft your bar graph:
1. Draw the x-axis and label it with the conditions: "Placebo" and "Carbohydrate-Electrolyte."
2. Draw the y-axis and label it with a suitable scale (e.g., 0 to 30).
3. Find the mean values for each condition from the table. Place a bar on the graph for each condition, starting from the x-axis and reaching the corresponding mean value. Make sure the bars are properly labeled (e.g., "Placebo" and "Carbohydrate-Electrolyte").
4. Determine the appropriate lengths for error bars based on the standard errors. These error bars should extend above and below each mean value, representing the range of variability. Add the error bars to the top and bottom of each bar.
5. Include a key or legend to explain the meaning of the bars and error bars.
Now, let's interpret the graph to answer the second part of your question:
Examining the graph, the mean time taken to run to fatigue is higher for the carbohydrate-electrolyte drink condition (28.6) compared to the placebo condition (21.7). This suggests that, on average, the athletes who consumed the carbohydrate-electrolyte drink took more time to reach fatigue. Therefore, based on the graph, it seems that the carbohydrate-electrolyte drink might have a positive effect on sports performance and endurance. However, it is important to note that the standard errors also indicate some variability in the data, so further statistical analysis would be required to draw definitive conclusions.