Prob/Stat Chapter 1 Word Scramble
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Term | Definition |
Statistics | science of conducting studies to collect, organize, summarize, analyze, and draw conclusions from data |
3 examples of how Statistics is used in everyday life | human endeavor (sports, public health, education), analyze results of a survey, and as a tool in scientific research to make decisions based on controlled experiments |
3 reasons to use statistics | To understand statistical studies, to be able to conduct research, design experiments, make predictions, and communicate results, and to become better consumers |
branch areas of statistics | Descriptive: collection, organization, summarization, and presentation of data Inferential: generalizing from samples to populations, performing estimations and hypothesis tests, determining relationships among variables, and making predictions |
Examples of variables | Qualitative: placed into distinct categories (gender, color, etc.) Quantitative: ordered by rank (age, height etc) Discrete variable: countable (number of children, etc) Continuous variable: infinite numbers between 2 numbers (height of kids, etc) |
How to find boundaries | Boundaries contain one more decimal place than the initial value, with it being .x5 less and more than the number where x is the number of decimal places in the original value. Ex. 14 (13.5 - 14.5) .43 (.425 - .435) |
Examples of each of the measurement levels | Nominal: Gender, zip code, etc. Ordinal: Letter grades, ranking (1st, 2nd, etc.) Interval: IQ Tests, SAT Scores, Temperature, etc. Ratio: Height, weight, area, etc. |
2 purposes for data collection | To describe situations or events, and to help people make better decisions before acting |
3 ways to collect data | Surveys, mailed questionnaires, sampling |
Advantage and disadvantage for the 3 kinds of surveys | Questionnaire: cover wider area, but interviewers need to be trained Telephone surveys - less costly, people may not be home Sampling - random people, but may not have a good sample |
Examples of each of the sampling methods | Random: numbering cards Systematic: numbering, then selecting every kth number Stratified: dividing population into groups based on characteristics, then getting a sampling from each group Cluster: dividing population in groups that represent clusters |
Examples of the kinds of studies | |
2 advantages and 2 disadvantages of the 2 kinds of study | |
Identify the dependent and independent variables from studies | |
5 uses of statistics | |
7 misuses of statistics | |
Things that make a survey question bad | |
Problems for getting random samples and systematic samples |
Created by:
BaconBoy2015
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