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1. What are the typical levels of significance used in research?

19 / 01 / 2019 Database

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1.      What are the typical levels of significance used in research?

2.      The accepted level of risk of rejecting the null when it is true is called the _________ _________.

3.       ____________  include the summarizing of data through tables and charts

4.       Both variance and standard deviation measure the _________  _________ around the mean.

5.      When looking at variation from the mean,  we know how much variation is enough to prove or reject our hypotheses by looking at the ______________ ____________.

6.      The _____ hypothesis represents the status quo.

7.      The______   _______ challenges the _______ _______ and is what the researcher is trying to prove

8.      In your own words explain what a p<.05 in a study would mean.

9.      Sample demographics contained information such as:

10.   What does the following statement mean: “Data mining does not infer causality”

11.   What are the recommended steps in data mining?

12.   List at least 5 Data Mining Techniques

13.  _________   _________ includes the generation, aggregation, analysis, and visualization of data.

14.   __________ is about asking questions and exploring large amounts of dta for patterns and relationships.

15.  _____ ______ refers to the immense volumes of data available/acquired online and in the cloud.

16.  Finding answers you did not know you were looking for is ____ ______.

17.  _____ ______  is a statistical methodology that utilizes the relationship between two or more quantitative variables, so that one variable can be predicted from the others.

18.  Data ____________ is defined as the process of determining the appropriate data type and source, as well as suitable data collection instruments

    Data ____________ is defined as the process of determining the appropriate data type and source, as well as suitable data collection instruments.
    ______ and _______ are the two primary types of data.

21.   What should be the deciding factor when selecting data?

22.   Explain the concept of a representative sample:

23.   How can a researcher avoid bias?

24.   List three consequences deriving from improperly collected data

25.   What is the process of data selection dependent on?


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