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Measurement, while usually, quantitative, is the process of assigning a number to a person or characteristic of a performance or value.
Measurement, while usually, quantitative, is the process of assigning a number to a person or characteristic of a performance or value.
According to the book a test for this class is any instrument or tool used for measurement
According to the book a test for this class is any instrument or tool used for measurement
DSRP is a method/process of teaching, learning, and thinking that is aimed at helping students have a deeper understanding of information while also helping students transfer knowledge into their career rather than just a test.
DSRP is a method/process of teaching, learning, and thinking that is aimed at helping students have a deeper understanding of information while also helping students transfer knowledge into their career rather than just a test.
The different levels to measurements include Nominal, Ordinal, Interval, and Ratio.
The different levels to measurements include Nominal, Ordinal, Interval, and Ratio.

Nominal ex: Table that organized based on gender
Ordinal ex: ranking a product on a scale of 1-5
Interval: Results of a standardized test score
Ratio: Temperature measurements in Kelvin
Discrete variables are when the measurements are set apart by a specific intervals on a scale.  And continuous variables would be measurements that aren't restricted to set intervals but could be any range of numbers
Discrete variables are when the measurements are set apart by a specific intervals on a scale.  And continuous variables would be measurements that aren't restricted to set intervals but could be any range of numbers
 
Discrete ex: number in a household
Continuous: time 
An independent variable is one that can and is manipulated by the experimenter, while the dependant variable is held constant for all trials of an experiment.
An independent variable is one that can and is manipulated by the experimenter, while the dependant variable is held constant for all trials of an experiment.

ex: In an experiment we want to test how exercise affects test scores.  The independent variable would be number of hours of exercise, while the dependent variable would be the test scores. 
A population would represent the entire possible group that is relevant to a survey.  While a sample is only the select group that was actually chosen for said survey
A population would represent the entire possible group that is relevant to a survey.  While a sample is only the select group that was actually chosen for said survey

ex: Say we were to conduct a survey on the number of FHSU students that use the recreational services by passing out a survey in every HHP class on campus MWF.  The population would be all FHSU students, while the sample would only be students who have an on campus class MWF.
Descriptive statistics is using numbers to describe and summarize data, while inferential statistics involves generalizing based on a data set.  
Descriptive statistics is using numbers to describe and summarize data, while inferential statistics involves generalizing based on a data set.  
Descriptive Statistics Example: A table used to describe the average cost of different college tuitions

Inferential statistics example:  Taking a sample of jobs of students who graduates from FHSU in a certain department from last spring and inferring results from sample about students graduating in May.
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Knowledge Trail 2
Knowledge Trail 2
1. Define descriptive and inferential statistics. What is the distinction between the two (provide examples of both)?
1. Define descriptive and inferential statistics. What is the distinction between the two (provide examples of both)?
2. Define populations and samples. What is the distinction between the two (provide examples of both)?
2. Define populations and samples. What is the distinction between the two (provide examples of both)?
3. Define an independent and dependent variable. What is the distinction between the two (provide examples of both)?
3. Define an independent and dependent variable. What is the distinction between the two (provide examples of both)?
4. What is the distinction between a discrete and a continuous variable (provide examples of both)?
4. What is the distinction between a discrete and a continuous variable (provide examples of both)?
5. What are the different levels of measurement? Provide examples of the different levels.
5. What are the different levels of measurement? Provide examples of the different levels.
6. What is DSRP?
6. What is DSRP?
7. How is "Test" defined?
7. How is "Test" defined?
8. How is "Measurement" defined?
8. How is "Measurement" defined?
Have I taken the survey?
Have I taken the survey?
Yes

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