Elementary Statistics Term for Chapter 1
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| 128107087 | Statistics | The science of conducting studies to collect, organize, summarize, analyze, and draw conclusions from data. | 0 | |
| 128107088 | statistic | one number that goes with a sampe | 1 | |
| 128107089 | parameter | one number that goes with a population | 2 | |
| 128107090 | variable | a characteristic or attribute that can assume different values | 3 | |
| 128107091 | data | values (measurements or ovsercations) that the cariables can assume | 4 | |
| 128107092 | random variables | variables whose values are determined by chance | 5 | |
| 128107093 | data set | a collection of data values | 6 | |
| 128107094 | data value (datum) | each value in the data set | 7 | |
| 128107095 | sample | a group of subjects selected from a population | 8 | |
| 128107096 | Two types of Statistics | 1. Descriptive 2. Inferential | 9 | |
| 128107097 | Inferential | consists of generalizing from samples to populations, preforming estimations and hypothesis tests, determining relationships among variables, and making predictions | 10 | |
| 128107098 | Descriptive | consists of the collection, organization, summarization, and presentation of data | 11 | |
| 128107099 | probability | the chance of an event occuring | 12 | |
| 128107100 | population | consist of all subjects (human or otherwise) that are being studies | 13 | |
| 128107101 | Qualitative variables | variables that can be put into categories | 14 | |
| 128107102 | Quantitative variables | variables that differ in amounts or scale and can be ordered | 15 | |
| 128107103 | Discrete variables | assume variables that can be counted (no decimals) | 16 | |
| 128107104 | Continuous variables | assume an infinite number of values between any two specific values. They are obtained by measuring. They often include fractions and decimals. | 17 | |
| 128107105 | Measurement scales | how variables are categorized, counted, or measured | 18 | |
| 128107106 | Nominal Level of measurements | classifies data into mutually exclusive (non overlapping), exhausting categories in which no order or ranking can be imposed on the data | 19 | |
| 128107107 | Ordinal level of measurements | Classifies data into categories that can be ranked; however, precise differences between the ranks do not exist. | 20 | |
| 128107108 | Interval level of measurements | ranks data, and precise differences between units of measure do exist; however, there is no meaningful zero. | 21 | |
| 128107109 | Ratio level of measurements | possesses all the characteristics of interval measurements, and there exists a true zero. In addition, true ratios exist when the same variable is measured on two different members of the population | 22 | |
| 128107110 | hypothesis testing | a decision making process for evaluating claims about a population, based on information from samples | 23 | |
| 128107111 | random sample | using chance methods or random numbers | 24 | |
| 128107112 | systematic sample | numbering each subject of the population and then selecting every Kth subject | 25 | |
| 128107113 | stratified sample | dividing the population into groups, then sample each group | 26 | |
| 128107114 | cluster sample | population is divided into groups, select one group, and use all members in that group | 27 | |
| 128107115 | convenience sample | using subject that are convenient to researcher | 28 | |
| 128107116 | observational study | drawing conclusions on observing what has happened or happened in the past | 29 | |
| 128107117 | experimental study | manipulating one variable and tries to determine how the manipulation influences other variables | 30 | |
| 128107118 | quasi-experimental study | an experiment with an already intact group | 31 | |
| 128107119 | independent variable | variable being manipulated (explanatory variable) | 32 | |
| 128107120 | dependent variable | resultant variable (outcome variable) | 33 | |
| 128107121 | treatment group | group that received a special instruction | 34 | |
| 128107122 | control group | group that gets the 'sugar pill' (no special instruction0 | 35 | |
| 128107123 | Hawthorne effect | subjects who know they are in an experiment changed their behavior that affected the result | 36 | |
| 128107124 | confounding variable | influences the dependent variable but wasn't separated from the independent variable | 37 |
