UNIT 1 Flashcards

1
Q

what is the defintion of statics ?

A

statistics is a set of mathematical procedures for organizing summarizing, and interpreting data.

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2
Q

what is the definition of a population

A

a population is set of all the subjects in research study.

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3
Q

what is a sample and goal of a sample?

A

a sample is the subset of subjects from the population and the goal is to represent a population.

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4
Q

what does a parameter and statistic describe ?

A

parameter value describes a population.

statistic value that describes a sample.

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5
Q

what is descriptive statics vs inferiental statics ?

A

descriptive statics is a set of procedures used to simplify , organize, and summarize data.

inferential statics are techniques used to study sample and make generalizations about the population.

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6
Q

what is a sampling error ?

A

a sampling error is discrepancy or amount of error, that exists between sample stastic, and corresponding population matter.

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7
Q

what are the two types of research methods ?

A

there is a correlational method which is two different variables are observed to determine whether a relationship exists.

there is an experimental method which is a cause and effect relationship between two variables.

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8
Q

independant vs dependant variable

A

independant variable is when a researcher manipulates one variable by changing conditions.

dependant variables is the variable that is measured and all other variables controlled.

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9
Q

what are the thee basic techniques to control other variables.

A

random assignment
matching
hold constant

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10
Q

what are the types of quantative variables ?

A

discrete is the seperate conditon, counting value is zero or positive.( a variable who is obtained by counting)
Number of students in a class , number of workers in a company.

continous is an infinite number of possible values, and measures.

Number of stars in space, temperature, age, height, and weight.

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11
Q

what are the types of categorical variables ?

A

nominal are classified into categories, naming/ labeling, and no natural order.
Example: genotype, blood type, gender, race, and eye color.

ordinal is a scale and are categories that organized into a sequence.

Income level, social economic status, political orientation.

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