Relier Pairs Data Literacy VocabularyVersion en ligne Match the word with the definition par Jennifer McClinton 1 Mode 2 Standard Deviation 3 Composite 4 Outliers 5 Population 6 Statistics 7 Percentile 8 Measures of Central Tendency 9 Data 10 Progress Monitor 11 Normal Distribution 12 Median 13 Skew 14 Mean Used to show how far a data point is from the mean. Can be used to identify outliers (more than 2 SD). Mean, median, and mode are called measures of central tendency. They each give important information about the distribution of data. Ways of summarizing data to make sense of it. An easy way to understand the story behind the data or ask questions about the data. Also called average. It is determined by adding all the data points in a population and then dividing the total by the number of points. Averages can be misleading because every value in the set affects an average. It may not represent the group very well. Ex: 5,5,5 has an average of 5. 0,5,10 has an average of 5 as well. Observable and measurable; if you can observe it, it’s data. Data is used to make inferences and becomes information. Qualitative/Quantitative Is used to quantify a student rate of improvement or responsiveness to instruction, and to evaluate the effectiveness of instruction. It is calculated when we arrange the observations in order from smallest to largest value. If there is an odd number of observations, it is the middle value. If there is an even number of observations, it is the average of the two middle values. The score in the middle 1,1,2,3,4,4,5,5,5,6,6,7,7,7,7,7,8 Because it’s the middle value, it shows if the data is skewed. Includes all members of a defined group that we are studying or collecting information on for data driven decisions. A part of it is called a sample. When mean, median, and mode are not the same. Is a combination of multiple scores and provides the best overall estimate of the student's skills. When the mean, median, and mode are the same: “Bell Curve” The most common number in a set. It is found by collecting and organizing data to count the frequency of each result. It is the result with the highest number of occurrences in a set. High values pull the mean to the right causing positive skew. Low values pull the mean to the left causing negative skew. A rank order out of 100.
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