QNT 275 Week 2 participation Measuring Central Tendency and Variability | eBooks | Education

QNT 275 Week 2 participation Measuring Central Tendency and Variability

QNT 275 Week 2 participation Measuring Central Tendency and Variability PLDZ-3044 Instant Download Price
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QNT 275 Week 2 participation Measuring Central Tendency and Variability 

https://uopcourses.com/category/qnt-275-participations/

 

QNT 275 Week 2 participation Measuring Central Tendency and Variability

 

Watch the “Measuring Central Tendency and Variability” video.

Consider the following as you watch:

 

 

 

    • Define the three standard measurements of the central tendency and provide example of each.

 

 

    • Explain when you might want to use a median number.

 

 

    • Provide an example.

 

 

    • Define a standard deviation and what a standard deviation shows, provide an example

 

 

 

 

 

 

 

    • Measurement of Disperion

 

 

    • Team

 

 

 

 

    • The Measurement of Dispersion is made up of 3 mathematical techniques, the standard deviation, variance and the range. Of the 3, the standard deviation is the most accurate numeric. The purpose of the Measurement of Dispersion is to tell a researcher how close or far data points are from each other. That is it! Which means that with the Measurement of Dispersion alone, we really do not know much about the sample population.

 

 

 

 

    • It is not until we augment the Standard Deviation with a Z-Score, that we are able to infer a conclusion on how the sample population is behaving. The Z-Score is the most basic of statistical formulas that fall under the umbrella of Inferential Statistics. The Z-Score is the gateway to other, more sophisticated formulas such as the Z-Test, the T-test (all forms of T-Test), the ANOVA and the Regression Analysis (just to name a few).

 

 

 

 

  • What is a Z-score?

 

QNT 275 Week 2 participation Measuring Central Tendency and Variability https://uopcourses.com/category/qnt-275-participations/ QNT 275 Week 2 participation Measuring Central Tendency and Variability Watch the “Measuring Central Tend
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