1) Population is the entire set of items from which you draw data for a statistical study. a) All residents of a country. b) All residents who liv.e above the poverty line 2) A sample represents the group of interest from the population. a) All employees in an office. b) Out of all the employees, all managers in the office. 3) Qualitative data are the result of categorizing or describing attributes of a population. a) The street a person lives on. b) Amount of money you have 4) Quantitative data are the result of counting or measuring attributes of a population. a) Number of people living in y.our town b) Ethnic group 5) All data that are the result of counting are called quantitative discrete data. a) The number of books students carry in their backpacks. b) The tuition for your classes. 6) All data that are the result of measuring are quantitative continuous data. a) The distance it is from your home to the nearest grocery store. b) The number of pairs of shoes you own. 7) Nominal data are used to label variables without any quantitative value. a) names of people. b) Temperatures in degrees celsius. 8) Ratio data tells us about the order of variables, the differences between them, and they have that absolute zero. a) Test scores b) height 9) An ordinal scale is one where the order matters but not the difference between values. a) Marital status b) socio economic status 10) An interval scale is one where there is order and the difference between two values is meaningful. a) intelligence score in an IQ test b) Top 5 Olympic medallists

NATURE OF STATISTICS

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