For this DB and all other DB’s, long passages of quoted material should be avoided, as should links you may expect classmates or myself to read. Of course this does NOT
mean to exclude reference citations.
In your discussion post NUMBER YOUR ANSWERS so they are easy to find!
DB#3
1.Conduct an experiment and record the data.
2.Then create a histogram.
3.What is the shape of the histogram?
4.How would you expect your datas distribution to looked? Flat, skewed to the right or left, bell shaped…
5.WHY?
6.Does it look like a normal curve? If so, why…if not…why not
7.How do the results differ from your “expected distribution shape”?
8.How does this relate to our understanding of the normal distribution (bell curve) and the use of sampling for measurement of population parameters?
9. WHY do you think this assignment was made part of the course?
A few Ideas you might choose from for your experiment:
Measure the size of a dozen eggs (circumference)
Measure the length of individual pieces of spaghetti in a box of spaghetti
Measure the length of beans in a bag of beans
Objectives:
Apply methods of data aggregation and reduction to business data in a manner that reveals insight about underlying pattern and key parameters of the data set.
0 Explain the various methodologies and applications relating to levels of measurement, central tendency, dispersion, and other key statistical metrics.
0 Explain the applications and limitations of statistical hypothesis testing as applied to business situations.
0 Apply the various discrete and continuous probability distributions, which are appropriate in business circumstances.
0 Explain the rationale and limitations for the application of the Normal Distribution as an approximation for other types of probability distributions.
0 Determine appropriate sampling methodologies for business settings and situations.
0 Apply various risk assessment tools to business circumstances and assess confidence, risk, and sampling error.
Assignment Objectives
0 Apply methods of data aggregation and reduction to business data in a manner that reveals insight about underlying pattern and key parameters of the data set.
0 Explain the various methodologies and applications relating to levels of measurement, central tendency, dispersion, and other key statistical metrics.
0 Explain the applications and limitations of statistical hypothesis testing as applied to business situations.
0 Apply the various discrete and continuous probability distributions, which are appropriate in business circumstances.
0 Explain the rationale and limitations for the application of the Normal Distribution as an approximation for other types of probability distributions.
0 Determine appropriate sampling methodologies for business settings and situations.
0 Apply various risk assessment tools to business circumstances and assess confidence, risk, and sampling error.