What does this data tell us by itself before we do anything with it such as doing hypothesis testing or comparing it to other data?

How can this be used by the M&M company?

Part 2
The management of the M&M company is concerned that they are either overfilling the bags for the 1.69 size or underfilling them

They have contracted with us - the UOP 342 research institute (that's you) to help them analyze what is going on an determine if they really have a problem. Historically they have seen an average of 56.5 M&M's in a bag - with a standard deviation of 1.2 M&M's.

Develop a hypothesis based on the problem statement above that you can test.

What is the null hypothesis? What is the alternative or test hypothesis?

What is the Mean, Median, Mode and StandardDeviation using the following:
SAMPLE DATA: 2, 5, 7, 11, 12, 16, 16
1) What is the mean of X of the data above (TO THE NEAREST 1/10)?
2) What is the median of the data above?
3) What is the mode of the data above?
4) What is the standarddeviation of the data ab

3-21
The following is a set of data for a population with N=10;
7 5 11 8 3 6 2 1 9 8
a. compute the population mean
b. compute the population standarddeviation
3-37
The following is a set of data from a sample of n=11 items
X 7 5 8 3 6 10 12 4 9 15 18
Y 21 15 24 9 18 30 36 12 27 45 54
a. Compute t

A population of scores has μ = 20 and σ = 5. If every score in the population is multiplied by 2, then the new values for the mean and standarddeviation would be:
standarddeviation = _______________
A sample of scores has M = 30 and s = 10. If 3 points are added to every score in the population, then the n

The standard error of the mean:
A. is never larger than the standarddeviation of the population
B. decreases as the sample size increases
C. measures the varability of the mean from sample to sample
D. All of the above

What is the sampling distribution of sample means?
What is the mean of the sampling distribution of sample means?
What is its standarddeviation?
How is that standarddeviation affected by the sample size?
What does the central limit theorem state about that distribution?

1. A bank located in a commercial district of a city has developed an improved process for serving customers during the noon to 1:00PM peak lunch period. The waiting time (as defined as the time the customer enter the line until he or she is served) of all customers during this hour is recorded over a period of 1 week. A random