Descriptive statistics includes statistical procedures that we use to describe the population we are studying. The data could be collected from either a sample or a population, but the results help us organize and describe data. Descriptive statistics can only be used to describe the group that is being studying. That is, the results cannot be generalized to any larger group. Inferential statistics is concerned with making predictions or inferences about a population from observations and analyses of a sample. That is, we can take the results of an analysis using a sample and can generalize it to the larger population that the sample represents. In order to do this, however, it is imperative that the sample is representative of the group to which it is being generalized. Starting point of analysis is determining the level of measurement of unit of analysis.

Measures of central tendency
Aim: to (univariately) describe the distribution of variables on different levels of measurement MEAN
Mean: a first a first measure of central tendency
for the sample: for the population:

Characteristics of the mean:
* Changing a score will change mean
* Adding or removing a score will change mean (unless the score is equal to mean) * Adding, subtracting, multiplying, dividing each score by a constant value causes mean to change accordingly * Sum of differences from the mean is zero:

* Sum of squared differences from the mean is minimal or Sum of Squares (SS) a larger SS means that scores deviate more from the mean
Why minimal?
‘Minimal’ because if we had used any other value than the mean (5) to subtract, SS would have been larger than 42

MEDIAN
A second measure of central tendency: the median (ordinal)
to find the median:
1) sort all cases based on their value on x
2) the value of the „middle case“ equals the median (equal amount of cases below and above)

Note that the median is not responsive to outliers like...

...averages last year is an example of what type of statistics? Determining the averages they can expect next year is an example of what type of statistics?
A. They are both examples of inferential statistics because averages are inferred in both instances.
B. Inferential statistics; descriptive statistics.
C. They are both examples of descriptive statistics because they deal with analyzing data.
D....

...What are the characteristics of a population for which a mean/median/mode would be appropriate? Inappropriate?
The analysis of data begins with descriptive statistics such as the mean, median, mode, range, standard deviation, variance, standard error of the mean, and confidence intervals. These statistics are used to summarize data and provide information about the sample from which the data were drawn and the accuracy with which the sample represents the...

...Descriptive Statistics Paper
By
September 27, 2010
In this paper Team B will examine the data that we have collected and we will draw a conclusion based on your findings, to get to the conclusion we will analyze the data using descriptive statistics, we will calculate the measures of central tendency, and dispersion, we will also show all the information with graphics and tables for a better understanding of the date, after all these steps are executed we...

...Descriptive Statistics: Real Estate
University of Phoenix
RES/341 Research and Evaluation I
Descriptive Statistics: Real Estate
Does having a pool increase the price of houses that have the same number of bedroom? In order to answer that question, we divided our data set into two groups; houses with 1 to 3 bedrooms and houses with 4 and more bedrooms. We then compared the prices of houses with a pool to houses without a pool in each group. Different...

...Descriptive Statistics paper
RES/341
July 24, 2011
Descriptive Statistics paper
The information below is a continuance of week two, week three, and on week four. The previous assessment in week two on “real estate research” for thinking of hypothesis on home values in Alvarado, Texas. The evaluating on real estate prices reveals a purpose of this research paper and its importance findings. The discoveries include problem definition, and on variables....

...Air Force Assignment
1. Use appropriate descriptive statistics to summarize the training time data for each method. What similarities or differences do you observe from the sample data?
Descriptive analysis in excel has been used to come up with relevant figures of the given data samples which is tabulated below:
Descriptive Statistics | Current | Proposed |
Mean | 75.06557 | 75.42623 |
Standard Error | 0.505094 | 0.32091 |
Median | 76 | 76 |
Mode |...

...Descriptive and Inferential Statistics
Greg Hagen, Jean Parker, Jade Riley, Nanika Woods, Myron Hamilton, Tajah Gutierrez, Treva Eley
PSY/315
June 9, 2012
Nancy A. Walker
Descriptive and Inferential StatisticsStatistics is a vital part of the psychological field as the analysis of statistics provides researchers with a means of both describing the results of research and surmising from those results, as well as drawing...

...Points Received: 1 of 1
Comments:
5. Question : The science of using a sample to make generalizations about the important aspects of a population is known as
Student Answer: Statistical Process Control.
Descriptive Statistics.
A random sample.
Statistical Inference.
Points Received: 1 of 1
Comments:
6. Question : The standardized value of any value in a population or sample is called
Student Answer:...