observational See Clarifications/ In an observational study a researcher observes subjects and measures variables of study Teacher Notes for interest but does not attempt to influence the responses. Example: In an observational study S.ID.9 a researcher is interested in finding a relationship between time spent memorizing a list of words and how many words the students can recall. Students are told to record the amount of time they spent memorizing the list and then the next day are asked to record as many words as they can recall. population See Clarifications/ The entire set of items from which data can be selected is the population. For example, the Teacher Notes for population of all voters in a district, or a crop of apples that might be weighed or sorted in S.ID.6 some manner. quantitative data See the third Quantitative data consists of numbers representing counts or measurements. Mathematical column of the operations can be performed on these in a meaningful way. Example: average height is 3 Snap quantitative “Unit Shot” relative S.ID.5 Summarize Relative frequency is the ratio of the actual number of favorable events to the total possible frequency for two categories number of events; often taken as an estimate of probability in two-way frequency tables. Example: If a coin is tossed 50 times and the coin lands with Heads-up 30 times, the Interpret relative relative frequency with which a coin lands Heads-up in this experiment is . frequencies in the context of the data (including joint, marginal, and conditional relative frequencies). Recognize possible associations and trends in the data
observational study See Clarifications/ Teacher Notes for S.ID.9 In an observational study a researcher observes subjects and measures variables of interest but does not attempt to influence the responses. Example: In an observational study a researcher is interested in finding a relationship between time spent memorizing a list of words and how many words the students can recall. Students are told to record the amount of time they spent memorizing the list and then the next day are asked to record as many words as they can recall. population See Clarifications/ Teacher Notes for S.ID.6 The entire set of items from which data can be selected is the population. For example, the population of all voters in a district, or a crop of apples that might be weighed or sorted in some manner. quantitative data See the third column of the “Unit 3 Snap Shot” Quantitative data consists of numbers representing counts or measurements. Mathematical operations can be performed on these in a meaningful way. Example: average height is quantitative relative frequency S.ID.5 Summarize for two categories in two-way frequency tables. Interpret relative frequencies in the context of the data (including joint, marginal, and conditional relative frequencies). Recognize possible associations and trends in the data Relative frequency is the ratio of the actual number of favorable events to the total possible number of events; often taken as an estimate of probability Example: If a coin is tossed 50 times and the coin lands with Heads-up 30 times, the relative frequency with which a coin lands Heads-up in this experiment is .
A1_U3_UP_Descriptive_Statistics_Jan_15.docx