In: Math
M&M'S MILK CHOCOLATE: 24% cyan blue, 20% orange, 16% green, 14% bright yellow, 13% red, 13% brown.
Confidence Interval for Small n
Choose the color of M&M’s you will be working with for this project
Color:
Using the collected data below from a single fun-sized bag, provide the frequency and proportion of M&M’s in your color of choice.
Red |
Orange |
Yellow |
Green |
Blue |
Brown |
2 |
1 |
2 |
3 |
5 |
1 |
Number of M&M's in your color:
Total number of M&M's:
Proportion of M&M's in your color:
Construct a 95% confidence interval for the proportion of M&M’s one can expect to find in the color of your choice.
Check the requirements for constructing a confidence interval for the proportion are satisfied. Show your work.
The conditions might not be satisfied, depending on how many candies were in your bag. If the conditions are not met, what could you do?
Part 2: Confidence Interval for Larger n
Now, use the data collected below from a collection of fun-sized bags to provide the frequency and proportion of M&M’s in your original color of choice.
Red |
Orange |
Yellow |
Green |
Blue |
Brown |
54 |
49 |
52 |
51 |
84 |
109 |
Number of M&M's in your color:
Total number of M&M's:
Proportion of M&M's in your color:
Construct a 95% confidence interval for the proportion of M&M’s one can expect to find in the color of your choice.
Write an interpretation of your confidence interval specific to your color.
Check the requirements for constructing a confidence interval for the proportion are satisfied. Show your work. (See the note in the blue box on page 426)
How are confidence intervals affected by sample size?
How does the margin of error for the confidence interval in Part 1 compare to the margin of error for your confidence interval in Part 2? (compute both and compare)
Does the confidence interval you constructed in Part 2 contain the claimed proportion given by Mars Inc?
Do you believe the claims given by Mars Inc?
Choose RED. You can choose any of The population proportion of RED is
i) Here in the sample RED occurs 2 times out of 14 times. The sample proportion of RED is
The sample size is only . Hence normality assumption is not possible. Use T-distribution.
We have to test
The two sided CI is . When
The 95% CI is
Since the 95% CI includes 0.13 we conclude that the sample
proportion is not different from the hypothesized proportion 0.13.
Accept null hypothesis.
ii) When the sample size is large , we can use normal distribution.
Here in the sample RED occurs 54 times out of 399 times. The sample proportion of RED is
The two sided CI is . When
The 95% CI is
Since the 95% CI includes 0.13 we conclude that the sample
proportion is not different from the hypothesized proportion 0.13 .
Accept null hypothesis.
iii) The width of the confidence interval reduces as the sample size increases. The margin of error ( ) is lesser for larger sample size.
The claims are right.