2) Constructing a confidence interval for the mean.
M&M Candies Use the following data of the weight in grams of M&M plain candies. Assume the population is normally distributed. **Hint: copy and paste the data into excel. Then use excel to find the sample mean and sample standard deviation you will need to complete the formula for error.
A) Construct a 95% confidence interval estimate of the mean weight of red M&MÃ?¢â?¬â?¢s.

B) Construct a 95% confidence interval estimate of the mean weight of green M&MÃ?¢â?¬â?¢s.
C) Compare the results from parts (A) and (B) and interpret them. Does there appear to be a difference? Why or why not?

The solution provides step by step method for the calculation of confidence interval for population mean. Formula for the calculation and Interpretations of the results are also included. Interactive excel sheet is included. The user can edit the inputs and obtain the complete results for a new set of data.

M&M Project: Part 3
Use the M&M data to complete this assignment. StatCrunch can be used to assist with the calculations. A link for StatCrunch can be found under Tools for Success in Course Home. Here is also a link:
http://statcrunch.pearsoncmg.com/statcrunch/larson_les4e/dataset/index.html. Submit your answers in Exce

We will be constructing confidenceintervals for the proportion of each color as well as the mean number of candies per bag.
Construct a 95% ConfidenceIntervalfor the proportion of blue M&Ms® candies.
Construct a 95% ConfidenceIntervalfor the proportion of orange M&Ms® candies.
Construct a 95% Confidence Interva

We will be constructing confidenceintervals for the proportion of each color as well as the mean number of candies per bag. Use the methods of 6.3 for the proportions and 6.1 for the mean.
If calculating by hand, be sure to keep at least 4-6 decimal places for the sample proportions to eliminate large rounding errors.

1) Does the M&M/Mars Corporation use the same proportion of red candies in its plain and peanut varieties? A random sample of 56 plains M&Ms contained 12 red candies, and another random sample of 32 peanut M&Ms contained 8 red candies.
a) Construct a 95% confidenceintervalfor the difference in the proportions of red candies f

A quality control engineer wanted to estimate the mean weight (in grams) of M&Mcandies being produced on a certain machine in the factory. After collecting an appropriate random sample of M&Mcandies, he obtained the following weights:
.81 .86 .85 .79 .98 .84
.9 .87 .77 .82 .86 .87
.87 .88 .94 .86 .96 .82
.88 .98 .75 .

See attached files.
Confidenceintervals for the proportion of each color as well as the mean total number of candies per bag. You will use the methods of 6.3 for the proportions and 6.1 for the mean. For the Bonus, you will use the sample size formula on page 338. Please keep at least 4-6 decimal places for the sample pro

Construct a 95% confidenceintervalfor the proportion of red candies.
Using your same data determine if the proportion of green candies in a package of M&Ms is different than what is claimed by the company. List null and alternative hypothesis, the test-statistic and the p-value.
If you wanted to estimate the proportion of

A candy company claims that 17% of its plain candies are orange, and a sample of 100 such candies is randomly selected.
a. Find the mean and standard deviation for the number of orange candies in such groups of 100.
b. A random sample of 100 candies contains 5 orange candies. Is this result unusual? Does it seem that t

Let X equal the weight in grams of a 52-gram snack pack of candies. Assume that the distribution of X is N(μ, 4). A random sample of n = 10 observations of X yielded the following data:
55.95 56.54 57.58 55.13 57.48
56.06 59.93 58.30 52.37 58.46
(a) Give a point estimate for μ and find the endpoints for