Let's break down each part of your question regarding the gumball machine and the related statements.
Part (a): Percent Bar Graph for Gumballs
You provided the quantities of gumballs in the machine:
- Total Gumballs: 5000
- Blue Gumballs: 2900
- Red Gumballs: 2100
To calculate the percentages:
-
Blue Gumball Percentage: \[ \text{Percentage of Blue} = \left(\frac{2900}{5000}\right) \times 100 = 58% \]
-
Red Gumball Percentage: \[ \text{Percentage of Red} = \left(\frac{2100}{5000}\right) \times 100 = 42% \]
So the percent bar graph would show:
- Blue: 58%
- Red: 42%
Part (b): True or False Statements
Let's analyze each statement provided in part (b):
-
In a random sample of 4 gumballs, the red sample percentage can be 50%.
- False. The maximum possible number of red gumballs in a sample of 4 would be 4 (which corresponds to a percentage of 100%), and the minimum would be 0 (corresponding to 0%). The probability of getting exactly 50% red gumballs (i.e., 2 red and 2 blue) is possible but not guaranteed. The specific statement must be carefully considered based on the actual draw.
-
In a random sample of 4 gumballs, the red sample percentage can be equal to the red population percentage.
- True. While not guaranteed in every sample, it is possible for the sample percentage to match the population percentage, especially if the sample reflects the overall distribution of the gumballs.
-
With a very large sample size, there must be no difference between the red sample percentage and the red population percentage.
- False. While larger sample sizes tend to provide estimates closer to the population parameters due to the law of large numbers, they do not guarantee that there will be no differences. There may still be sampling variability, and the sample percentage may vary somewhat from the population percentage, though the differences are expected to be minor with sufficiently large sample sizes.
In summary:
- False
- True
- False