Inferential Statistics Inferential statistics involves methods of using information from a sample to draw conclusions regarding the population.The name of this flashcard set is the name of the class Im taking.
Terms in this set (76) Statistics the study of how to collect, organize, analyze, and interpret numerical information from data. Variable a characteristic of the individual to be measured or observed. Quantitative Variable has a value or numerical measurement for which operations such as addition or averaging make sense. Qualitative Variable describes an individual by placing the individual into a category or group, such as male or female. Population Data the data are from every individual of interest. Sample Data the data are from only some of the individuals of interest. Data from samples vary from sample to sample and are NOT complete. Parameter a numerical measure that describes an aspect of a population. Statistic a numerical measure that describes an aspect of a sample. Nominal Level The nominal level of measurement applies to data that consists of names, labels, or categories. There are no implied criteria by which the data can be ordered from smallest to largest. Ordinal Level The ordinal level of measurement applies to data that can be arranged in order. However, differences between data values either cannot be determined or are meaningless. We can order the data from smallest to largest or worst to best. Interval Level The interval level of measurement applies to data that can be arranged in order. We can order the data and also take the differences between data values. At this level, it makes sense to compare the differences between data values. For instance, we can say that one data value is 5 more than or 12 less than another data value. In addition, both differences between data values and ratios of data values are meaningful. We can order the data, take differences, and also find the ratio between data values. For instance, it makes sense to sat that one data value is twice as large as another. Descriptive Statistics Descriptive statistics involves methods or organizing, picturing, and summarizing information from samples or populations.
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