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Statistics 101: Understanding Data and Statistical Analysis, Quizzes of Statistics

Ohio Northern University (ONU)Statistics

Definitions and explanations of key terms related to statistics, including data, quantitative and qualitative data, variables, random variables, discrete and continuous variables, population, sample, statistics, descriptive statistics, inferential statistics, levels of measurement, and methods of data collection. It also covers various descriptive statistics such as mean, median, mode, quartiles, range, variance, and standard deviation.

Typology: Quizzes

2010/2011

Uploaded on 03/15/2011

alsoftball19 🇺🇸

8 documents

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TERM 1

statistics

DEFINITION 1

the science of collecting, organizing, analyzing, and

interpreting data in order to make decisions

TERM 2

Data

DEFINITION 2

information

TERM 3

Quantitative Data

DEFINITION 3

always numerical, measurements and counts

TERM 4

Qualitative Data

DEFINITION 4

categorical data

TERM 5

Where does data come from?

DEFINITION 5

routinely kept records, experiments, surveys

Partial preview of the text

Download Statistics 101: Understanding Data and Statistical Analysis and more Quizzes Statistics in PDF only on Docsity!

statistics

the science of collecting, organizing, analyzing, and

interpreting data in order to make decisions

TERM 2

Data

DEFINITION 2

information

TERM 3

Quantitative Data

DEFINITION 3

always numerical, measurements and counts

TERM 4

Qualitative Data

DEFINITION 4

categorical data

TERM 5

Where does data come from?

DEFINITION 5

routinely kept records, experiments, surveys

variable

any quality or characteristic that can take on different values

in different individuals

TERM 7

random variable

Statistics 101: Understanding Data and Statistical Analysis, Quizzes of Statistics

Related documents

Partial preview of the text

Download Statistics 101: Understanding Data and Statistical Analysis and more Quizzes Statistics in PDF only on Docsity!

statistics

the science of collecting, organizing, analyzing, and

interpreting data in order to make decisions

TERM 2

Data

DEFINITION 2

information

TERM 3

Quantitative Data

DEFINITION 3

always numerical, measurements and counts

TERM 4

Qualitative Data

DEFINITION 4

categorical data

TERM 5

Where does data come from?

DEFINITION 5

routinely kept records, experiments, surveys

variable

any quality or characteristic that can take on different values

in different individuals

TERM 7

random variable

DEFINITION 7

value occurs by chance

TERM 8

discrete variable

DEFINITION 8

variables restricted to specific values

TERM 9

continuous variable

DEFINITION 9

variable can take on any value within an interval (a person's

height...doesn't jump over numbers)

TERM 10

population

DEFINITION 10

the largest group of individuals of interest

nominal level of measurement

names, labels, classifications (qualitative info - jersey

numbers...)

TERM 17

ordinal level of measurement

DEFINITION 17

ranking (small medium large)

TERM 18

Interval level of measurement

DEFINITION 18

distance between two measurements is meaningful, zero is

arbitrary (temperature scales, number line)

TERM 19

ratio level of measurement

DEFINITION 19

ratios are meaningful, zero is inherent (does it make sense to

say it is twice as big?) - 40 degrees is not twice as warm as

20 degrees but i weigh twice as much as a kid

TERM 20

simple random sample

DEFINITION 20

every member of a sample has the same chance or being

chosen (random sample generated by table of random

numbers) - be able to do on calc

steps of collection of data

*identify population and variables 1. develop plan for data

collection 2. collect data 3. describe the data using

descriptive statistics 4. interpret data using inferential

statistics 5. draw conclusions using inferential statistics 6.

identify possible errors

TERM 22

4 ways to collect data

DEFINITION 22

1. observational study - watch in habitat 2. Experiment -

apply treatment to part of population 3. simulation - model to

imitate experiment 4. survey - questions + distribution with

no bias