# Statistics terms

 Statistics Science of collecting, organizing, summarizing, and analyzing information to draw conclusion or answer questions. Stages of statistics 1 Collect.2 Analize.3 Draw a conclusion or answer. Types of statistics 1 Descriptive.2 Inferential. Descriptive statistics: It consist of organizing and summarizing data using table graph or simple calculation Inferential: It uses methods that take a result from a sample extend of population and measure the reliability of the results. Population: Is the entire group. Sample: is a subgroup of from the population. Parameter: Numerical value used to describe population. Statistic: Numerical value used for a sample. Quantitative data: Numerical data. 1 discrete2 continuous. Qualitative data: Descriptive data/ Discrete: Numbers can be counted Ex: 45 students Continuous: Numbers can not be counted: Ex: - 355 ml coke can.      - 10:00 am Levels of measurement: 1 Nominal.2 Ordinal.3 Interval.4 Ratio. Nominal: Measurements are names, labels, or categorical data. As addition: There is no ordering system.EX: Quiz, HW, Final. (order doesnt matter, once added, give same result) Ordinal: Names, labels, (similar as ordinal. Difference is: Names have no mathematical difference)EX: S (small), M (Medium), L (large). Interval: Numbers. difference has a meaning as addition: Zero is not a natural starting point. EX: Temperature, elevation. Observation study: It measures the value of the response variable without attempting to influence the value of either the response or explanatory values. (Only observes, gathers data) Experiment study: A research assigns the individuals in a study to a certain group, Intentionally changes the value of the explanatory value, and then records the value of response. (Do a lab, then records the change) Random sample: (chance varies) The process of using chance to select an individual from a population to ve included in a sample. (pick one by one) Simple random sample:  (Always same chance, group) A sample of size "n" from a population size "N" is obtained through simple random sample if every possible sample size "n" has an equal chance of being selected. Other effective methods of sampling: 1 convenience sample.2 Systematic.3 Stratified.4 Cluster. Convenience sample: Individuals are easily obtained. Systematic sample: Select every kth individuals from a population Ex: HW 1.1- Do 1-100 every odd Stratified sample: Separate population into non-overlaping groups then obtain samples from each group. Cluster sample: Obtain samples by selecting all samples from a selected group. Stratified         VS        Cluster 1.- Divide population into some groups2.- Pick all groups       l   2.- pick some groups3.- Pick some samples l  3.- pick all samples Authormahp ID322882 Card SetStatistics terms Descriptionfeafea Updated2016-09-03T04:59:36Z Show Answers