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Portage Statistics 101 Module 1 Study Guide – Introduction to Statistics, Practice Questions & Exam Review

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Master Portage Statistics 101 Module 1 with a comprehensive study guide covering basic statistical concepts, populations and samples, variables, levels of measurement, descriptive statistics, and practice questions with explanations.

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Portage Statistics 101 Module 1
Study online at https://quizlet.com/_jmwr8t

1. random sample every member of the population has an equal chance of being selected; simple is
when each sample has equal chance of being selected

2. statistics the science of data

3. data things about which information can be collected on

4. data set rectangular array containing various categories of data for a particular study

5. element the individual and unique entry in a data set about which data has been collected

6. variable measurable attribute needed to describe the element

7. observation all the information collected for each element in a study

8. qualitative categorical; not measured numerically; can be numerical or non-numerical

9. quantitative recorded on a scale, answers how much or how many; only numerical

10. cross sectional data collected at the same point in time
data

11. time series data data collected over several time periods

12. descriptive statis- numerical and graphical methods to explore data to find patterns, summarize data
tics and present information; a compiled summary of the data analysis

13. histogram summary count of items in each category in a single variable; categorization, visual
indicator of data center, shows spreads of data, observes distribution shapes

14. mean/average most common numerical statistic

15. inferential data sample data collection to make estimations, decisions or predictions about larger
set of data


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, Portage Statistics 101 Module 1
Study online at https://quizlet.com/_jmwr8t

16. population larger group, cannot reach entirely

17. sample smaller group selected that we will collect to infer about the larger group

18. nominal, ordinal, 4 levels of measurement of data from lowest to highest
interval, ratio

19. nominal mea- qualitative measurement only; no math operations
surement

20. ordinal measure- qualitative or quantitative, data can be arranged in order or ranked but differences
ment does not matter

21. interval and ratio two highest measurements

22. interval measure- quant only; ordered and differences can be calculated, zero represents a position
ment

23. ratio measure- quant only; zero entry is an inherent zero
ment

24. inherent zero zero applies none; piggy bank is empty example

25. research gather- existing data that was already collected or by collecting new information
ing methods

26. experimental or 2 types of statistical study
observational

27. experimental researcher manipulates variables while others remain constant
studies

28. observational no influencing, simply observing the variable in action; either passive or active
studies

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