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# Statistics empirical approach and context, see the ppt then answer 10 questions

Directions: After reviewing the Statistics in a
research context 1.25.16, provide succinct technical answers to the following
questions.

1. How does statistics  fit into the research context?
2. If samples yield statistics, what do
populations yield?
3. What is the most important characteristic of a
good sample?
4. How many variables are in the following
statement?
There is a positive
relationship between academic achievement and self-esteem.

5.
Does everyday application employ the empirical
approach?

6.
What is the name for a subset of the population?

7.
Explain the differences between an independent
and dependent variable. Identify a potential independent and dependent variable
for a research study.

8.
Compare and contrast the different sampling
techniques.

9.
Based on the scenarios
below, identify the correct level of measurement.

a.
Melissa has an SAT score of 1100, while Kevin
has an SAT score of 1090.  Melissa scored
10 more points that Kevin

b.
Melissa’s college record shows 36 credit hours
earned, while Kevin’s record shows 72 credit hours earned. Kevin has twice as
many credit hours earned as Melissa.

c.
Students at a University are classified by the
scale in which they are enrolled using a nonnumeric label such as Business,
Humanites,  Education, etc. (A numeric
code can also be utilized)

d.
Students of a University are classified by their
class standing using a nonnumeric code (Freshman, Sophomore, Junior).  (numeric codes 1-4 can be used as well)

10.
identify the correct scale of measurement for the types of data listed below
and explain why this is the correct level of measurement. (be sure to explain
why this is the correct level of measurement).

a.
Political
Party Affiliation

b.
The
weight of 10 year olds in America

c.
First,
second, and third place winners in a race.

d.
Emma
IQ is 120, whereas Frank’s 100