Matching Pairs Data Literacy VocabularyOnline version Match the word with the definition by Jennifer McClinton 1 Mode 2 Normal Distribution 3 Skew 4 Standard Deviation 5 Measures of Central Tendency 6 Percentile 7 Data 8 Progress Monitor 9 Median 10 Population 11 Mean 12 Composite 13 Outliers 14 Statistics Is a combination of multiple scores and provides the best overall estimate of the student's skills. 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 High values pull the mean to the right causing positive skew. Low values pull the mean to the left causing negative skew. Mean, median, and mode are called measures of central tendency. They each give important information about the distribution of data. Used to show how far a data point is from the mean. Can be used to identify outliers (more than 2 SD). When mean, median, and mode are not the same. A rank order out of 100. When the mean, median, and mode are the same: “Bell Curve” Is used to quantify a student rate of improvement or responsiveness to instruction, and to evaluate the effectiveness of instruction. 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. 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. 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. 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.
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