stats

• Descriptive uses data to provide descriptions of population
• Inferential makes prediction about a population based on sample data
• data is facts and figures collected on characteristics of population or sample
• population is the totality of people observed
• sample is the subset of population
• parameters are the characteristics of a population
• estimate is the measure of a sample considering the population
• data, population, sample, parameters, and estimate are statistical terms
• statistical question is answered by collecting data with variation thru survey/research
• non-statistical question answers a required specific facts
• Probability is a likelihood of some event occuring
• Probability is greater than 0 but less than 1
• qualitative variable generates categorical data
• quantitative variable generates numerical data
• we use capital letters to represent a random variable
• random variable is a numerical quantity that is derived from the outcome of an experiment
• sample space is where elements are placed
• variables are associated with probabilities
• discrete variable and continuous variable are two types of quantitative variable
• statistics is the science that studies data to make decision
• statistics are the tools in decision making
• discrete random variable are set of possible outcomes that are countable
• discrete variables are finite and specific
• continuous variable represents measured data
• continuous variable is infinite number of values within a specific interval
• ordinal - names + ordered variables
• nominal - named variables
• interval - named + ordered + proportionate interval
• ration - named + ordered + proportionate interval + accomadate absolute zero
• proxy is something that is related to what we want to measure, but isn't exactly what we want to measure
• random variables is a variable whose value are determined by chance
• random variables are numerical quantity
• sample space is a collection or set of possible outcomes
• variable is the characteristics or attribute that can assume different values
• probability distribution are probabilities associated with each possible values
• probability histogram is a bar graph representation of probability distribution
• asking your favorite color is an example of nominal
• asking your education level is an example of ordinal
• temperature in Celsius is an example of interval
• asking temperature in kelvin is an example of ratio