express a categorical attribute, such as sex (male or female), religion, martial status, region of residence, highest educational attainment. Are sometimes refered to as categorical variables. - Qualitative Variables, (otherwise called numerical) data, whose sizes are meaningful, answer questions such as "how many" or "how many". - Quantitative Variables, are those data that can be counted, eg. - Discrete Data, are those that can be measured, eg. - Continuous Data, a property or attribute of a sample or population that varies or changes for various people or things. - Variable, are variables that are predetermined in an experiment or study. - Fixed Variable, is a variable that can be manipulated or under a researcher's control. - Active Variable, is a variable that cannot be manipulated. - Attribute Variable, is the output being studied. It is also termed as criterion, response, presumed outcome or effect. - Dependent Variable, is the variable that is being controlled in a study, also termed as treatment, factor, predictor, actecedent, or presumed cause or influence.  - Independent Variable, _____ of measurement arises when we have  variables that are categorical and nonumueric have no sense of ordering.  - Nominal Level, _____ also deals like the nominal level, but in this level ordering is important, that is the values of the variable could be ranked. - Ordinal Level, _____ tells us that one unit differs by a certain amount of degree from another unit. - Interval Level, ____ also tells us that are unit has so many times as much of the property as does another unit. - Ratio Level, ______ uses any or combination of the five server ( sense of sight, touch, hearing, taste and smell) to measure the variable while the latter dotains data by getting responses through a questionaire.  - Objective, is anecdotal info that comes from opinions, perceptions, or experiences. - Subjective, the set of all possible outcomes of an experiment. - Sample Space, The normal curve's mathematical equation was created by mathematician - Abraham De Moivre , is a normal probability distribution that has a mean, and standard deviation. - Standard Normal Curve, is the entire group that you want to draw conclusion about. - Population, is the specific group of individuals that you will collect data from. - Sample, is the actual list of individuals that the sample will be drawn from. - Sampling Frame, the number of individuals in your sample depends on the size of the population and on how precisely you want the results to represent the population as a whole. - Sample Size, When you conduct research about a - Sample Method, involves random selection, allowing you to make statistical inferences about the whole group. - Probability Sampling, involves non-random selection based on convenience or other criteria, allowing you to easily collect initial data. - Non-Probability Sampling, means that every member of the population has a chance of being selected. - Probability Sampling Method, random sample, every member of the population has an equal chance of ebing delected. - Simple Random Sampling, is similar to simple random sampling, but it is usually slightly easier to conduct. n - Systematic Sampling , involves dividing the population into subpopulations that may differ is important ways. - Stratified Sampling, also dividing the population into subgroups but each subgroups should have similar characteristics to the whole sample. - Cluster Sampling, is a measurement or feature that is determined by using all of the population's data values. The parameter, which is sometimes referred to as the true value of the population, can be measured at the numerical or nominal level. A parameter might be, for instance, the median age of 67 for a group of N=1200 elderly residents in a certain barrio. - Parameter, is a measurement or feature that was determined solely by the sample's data values. Therefore, a statistic is an estimation of the parameter. In the example above, if 100 random samples were drawn from 1,200 senior citizens, the average age of those 100 samples would be considered a statistic. - Statistic, s the probability distribution when all possible samples of size n are repeatedly drawn from a population. - Sampling Distribution,

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