Differences Between Association Relationship and Inference Analysis Paper

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fhaalsybjre

Business Finance

Description

Please answer each question well. Make the answer simple. Write clearly about the definition and differences between terms.


1. Differences between association analysis, relationship analysis, inference analysis

2. Understand mean, median, mode, and variance

3. What is statistical inference, why is it important, what are some of the factors

4. Know the difference between market targeting, market research, market planning, market segmentation

5. What is a knova, what does is measure and what does it do?

6. How do researchers deal with small sample sizes? what is a t-test and a z-test & when do you use these? How does spss help eliminate researches worrying about t-test and z-test?

7. what is the difference between the following types of relationships: monotonic, linear, curva linear, and non-monotonic

8. How do you know a correlation is strong, weak, or medium? What is the range of values in a correlation?

9. What is chi-square analysis, what does it do?

10. What is the difference between correlation, prediction, analysis of variables, regression analysis?

11. Define the difference parts of the regression equation. Ex: what is y, what is x, what is the difference between the independent or dependent variables?

12. Related to the same stuff as #11

13. How does a researcher improve regression analysis? *exact question*

14. Might be T/F: what is web based/dashboards?

15. How do you use visuals in the market research report, what are the different types of visuals and what are the common ones? Ex: bars, lines, etc. When would you use a bar, line, etc.? Know the different types of visuals and what they do

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Explanation & Answer

Attached.

Surname: 1

Marketing
Professor’s name
Student’s name
Date

1. Differences between association analysis, relationship analysis, inference analysis


Association analysis is an analysis that tries to make an understanding of how large sets
of data relates among themselves.



Relationship analysis is a process of explaining howdifferent variables are affects each
other in a given distribution.



Inference analysis is process of using data analysis to explain probability distribution
properties. It relates to inferring of properties of a given population

2. Understand mean, median, mode, and variance


Mean is and average. It is a computation of sum of recorded outcomes from a raw data
divided by the number of total events.
An example can be the random height of certain plants in a given field.

50 + 46 + 81 + 117 + 227 + 90
= 101.83

The sample mean will be 101.83
6

Surname: 2


Median is the score recorded in the middle of all outcomes. It is arrived at getting the
average of the two middle outcomes.

Example
Suppose there 8 students in a class picked randomly and their heights in centimeters
recorded as
181,157,190,156,176, 189, 181, 148. Then their mean will be

156 + 176
= 166
2


Mode is the most repeated score or the number with the highest frequency. In the above
example the mode is 181 since it appears twice.



Variance is defined as the squared differences arrived at from the mean. It is denoted by
the formula below. s2 represents the variance.

3. what is statistical inference, why is it important, what are some of the factors


Statistical inference is regarded as the process that allows a set of units to statements
about a new unit to be transitioned from the data. It is whereby inferences from the
sample population are made by calculating certain statistics data samples drawn from that
population.

Surname: 3


It is importance in case where the researcher cannot asses the whole population he is
interested in. therefore it enables each item in the sample population to have a chance to
be included in the sample...


Anonymous
Really helpful material, saved me a great deal of time.

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