Descriptive StatisticsNameQNT/561 Date Instructor’s Name SHORT TITLE OF PAPER 1 Running head: DESCRIPTIVE STATISTICS 1 Descriptive Statistics Determine the appropriate descriptive statistics. Note: If the data was normally distributed, use the mean and standard deviation. If the data was skewed significantly, use the median and interquartile range. Numeric Variable Name1 Distribution: State if not normally distributed Central Tendency: Dispersion: Number: Min/Max: Confidence Interval: (if distribution is normal) Numeric Variable Name2 (if applicable) Distribution: State if not normally distributed Central Tendency: Dispersion: Number: Min/Max: Confidence Interval: (if distribution is normal) Attribute Variable Name (if applicable) Create a bar chart. Describe the proportions. Descriptive Statistics Interpretation Numeric Variable Name1 Describe the variable in laymen terms. Numeric Variable Name2 (if applicable) Describe the variable in laymen terms. DESCRIPTIVE STATISTICS 2 Appendix A Raw data used in the analysis Fit data to one page. Appendix B Charts and Tables This part of the paper will include items that are then cited in the body of the paper. Usually, large items are placed here not to distract from reading the paper. Appendix C Descriptive Statistics This part of the paper will include descriptive statistics. Create a Microsoft® Excel® spreadsheet with the two variables from your learning team's dataset. Analyze the data with MegaStat®, StatCrunch®, Microsoft® Excel®or other statistical tool(s), including: (a) Descriptive stats for each numeric variable (b) Histogram for each numeric variable (c) Bar chart for each attribute (non numeric) variable (d) Scatter plot if the data contains two numeric variables Determine the appropriate descriptive statistics. (a) For normally distributed data use the mean and standard deviation. (b) For significantly skewed data use the median and interquartile range. Use the Individual Methodology Findings Template to complete the descriptive statistics. Use the Descriptive Statistics and Interpretation Example to develop an interpretation of the descriptive statistics. Format your paper consistent with APA guidelines. Submit both the spreadsheet and the completed Individual Methodology Findings Template. Click the Assignment Files tab to submit your assignment. Please use the variables from this except: The size of this population is 20 suppliers. These suppliers exclusively produce and make available for sale the material that is needed for manufacturing. In order to develop the sampling design it is important to identify the independent and dependent variables. Independent variables are variables that are manipulated or treated in a study in order to see what effect differences in them will have on those variables proposed as being dependent on them (Riyami, 2008). The independent variable in this research is the cost of the raw material. Dependent variables are variables .

1. Descriptive StatisticsNameQNT/561
Date
Instructor’s Name
SHORT TITLE OF PAPER
1
Running head: DESCRIPTIVE STATISTICS
1
Descriptive Statistics
Determine the appropriate descriptive statistics.
Note: If the data was normally distributed, use the mean and
standard deviation. If the data was skewed significantly, use the
median and interquartile range.
Numeric Variable Name1
Distribution: State if not normally distributed
Central Tendency:
Dispersion:
Number:
Min/Max:
Confidence Interval: (if distribution is normal)
Numeric Variable Name2 (if applicable)
Distribution: State if not normally distributed
Central Tendency:
Dispersion:
Number:
Min/Max:
Confidence Interval: (if distribution is normal)

2. Attribute Variable Name (if applicable)
Create a bar chart. Describe the proportions.
Descriptive Statistics Interpretation
Numeric Variable Name1
Describe the variable in laymen terms.
Numeric Variable Name2 (if applicable)
Describe the variable in laymen terms.
DESCRIPTIVE STATISTICS
2
Appendix A
Raw data used in the analysis
Fit data to one page.
Appendix B
Charts and Tables
This part of the paper will include items that are then cited in
the body of the paper. Usually, large items are placed here not
to distract from reading the paper.
Appendix C
Descriptive Statistics
This part of the paper will include descriptive statistics.
Create a Microsoft® Excel® spreadsheet with the two variables
from your learning team's dataset.
Analyze the data with MegaStat®, StatCrunch®,
Microsoft® Excel®or other statistical tool(s), including:

3. (a) Descriptive stats for each numeric variable
(b) Histogram for each numeric variable
(c) Bar chart for each attribute (non numeric) variable
(d) Scatter plot if the data contains two numeric variables
Determine the appropriate descriptive statistics.
(a) For normally distributed data use the mean and standard
deviation.
(b) For significantly skewed data use the median and
interquartile range.
Use the Individual Methodology Findings Template to complete
the descriptive statistics.
Use the Descriptive Statistics and Interpretation Example to
develop an interpretation of the descriptive statistics.
Format your paper consistent with APA guidelines.
Submit both the spreadsheet and the completed Individual
Methodology Findings Template.
Click the Assignment Files tab to submit your assignment.
Please use the variables from this except:
The size of this population is 20 suppliers. These suppliers
exclusively produce and make available for sale the material
that is needed for manufacturing. In order to develop the
sampling design it is important to identify the independent and
dependent variables. Independent variables are variables that
are manipulated or treated in a study in order to see what effect
differences in them will have on those variables proposed as
being dependent on them (Riyami, 2008). The independent
variable in this research is the cost of the raw material.
Dependent variables are variables in which changes are results
of the level or amount of the independent variable (Riyami,
2008). The dependent variable in this research is the availability
of the raw material based on the price change as it relates to
consumption.

4. Descriptive Statistics and Interpretation Example
QNT/561 Version 7
1
University of Phoenix Material
Descriptive Statistics and Interpretation Example
Interpretation Phrases
Central Tendency:
Mean = average of a set of data
Median = half or equal number of data is above and half or
equal number of data is below. It is a midpoint in an ordered
(sorted) set of data, a physical location
Mode = most frequent value in a set of data
Dispersion:
Standard deviation = variation
Interquartile range (IQR) = the middle 50% of the data
Range = the difference between the largest and smallest value
of the data
Confidence Interval: (data must be normal)
There is 95% confidence that the population average is between
_____ and ____ units.
Normal or significantly skewed data:
MegaStat: Descriptive statistics Normal curve goodness of fit p-
value
· Normal, p-value > .05
· Significantly Skewed, p-value < .05
Histogram: Eyeball the histogram.
· Normal data will have a symmetrical or slightly skewed shape.
· Significantly Skewed shape will have extreme skewness
Use phrase combinations: Normally distributed: Mean and
Standard Deviation, Not normally distributed: Median and IQR

5. Descriptive Statistics
Body Weight (Lbs.)
Central Tendency:
Mean = 149 Lbs.
Dispersion:
Standard deviation = 30 Lbs.
Count:
100
Min/Max:
99 pounds and 234 Lbs.
Confidence Interval:
144 to 155 Lbs.
See the histogram in Appendix A, and descriptive statistics in
Appendix B.
Age
Distribution is not normally distributed
Central Tendency:
Median = 36 years
Dispersion:
Interquartile Range = 20.5 years / 2 = ± 10 years
Count:
100
Min/Max:
18 years and 74 years
Confidence Interval:
Not applicable (data is not normally distributed)
See the histogram in Appendix A, and descriptive statistics in
Appendix B. A scatter plot is in Appendix C.

6. Education Level
Thirteen percent of the subjects have no high school degree
while 44% have high school degree. Forty three percent have a
college or college graduate degree. See the bar chart in
Appendix D.
Descriptive Statistics Interpretation
Interpretation
Body Weight
One hundred subjects were randomly selected. Their body
weight was observed between 99 and 234 pounds. Their average
weight was 149 pounds, with a variation of plus or minus 30
pounds. One half or more were above 149 pounds. There is 95%
confidence that the population body weight average is between
144 and 155 pounds.
Age
The data was significantly skewed. One hundred subjects
were randomly selected. Their ages were between 18 and 74
years, with a variation of plus or minus 10 years. One half or
more subjects were 36 years of age or older. The middle half of
the subjects’ ages fell between 27 and 47 years. The most
frequent age was 36 years.
APPENDIX A
Body Weight and Age Histograms

7. APPENDIX B
Descriptive Statistics Body Weight and Age
APPENDIX C
Scatterplot Body Age versus Weight
APPENDIX D
Bar Chart Education Level
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