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

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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