PPT-Quartiles

Author : myesha-ticknor | Published Date : 2016-06-25

What are they What is a Quartile There are 3 types of Quartiles The Quartile The Upper Quartile The Lower Quartile A Quartile is the median of an ordered data set

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Quartiles: Transcript


What are they What is a Quartile There are 3 types of Quartiles The Quartile The Upper Quartile The Lower Quartile A Quartile is the median of an ordered data set The Upper Quartile. . Whiteboardmaths.com. © 2004 - 2008 All rights reserved. Stand SW 100. In addition to the demos/free presentations in this area there are at least 8 complete (and . FREE. ) presentations waiting for download under the . Mean, Median, Mode, . Range. Measures of Variation. Box . Plots. Line . Plots. Histograms. CCGPS Standards. MCC6.SP.1. . Recognize a statistical question as one that anticipates variability in the data related to the question and accounts for it in the answers. For example, “How old am I?” is not a statistical question, but “How old are the students in my school?” is a statistical question because one anticipates variability in students’ ages. . Measures of location in comparison to the mean.. - standard scores. - percentiles. - deciles. - quartiles. Z score or Standard Score. 90 on a music test vs 45 on an English test. The Z score tells us how many standard deviations a data value is above or below the mean. . Measuring how . much . the . group as a whole deviates from . the center.. Gives you an indication of what is the spread of the data.. The common measures of variation in data are – . range. , . deviation. and Quartiles. Sixth Grade. Five Statistical Summary. When describing a set of data we have seen that we can use measures such as mean and median. . We can also get a sense of the data’s distribution by examining a five statistical summary.. STA 200 . Summer I . 2011. Measures of Center and Spread. Measures of Center:. median. mean. Measures of Spread:. quartiles & five number summary. standard deviation. Median. The median is the midpoint of a distribution.. Red: 0,1,1,2,2,3,3,3,3,3 total=21/10 2.1. Orange:0,1,2,2,2,3,3,3,4,4 total=24/10 2.4. Yellow:0,2,2,2,2,3,3,3,4,5 total=26/10 2.6. Green:2,2,2,2,3,3,3,4,4,6 total= 31/10 3.1. Purple:1,1,1,1,2,2,2,3,3,4 total=20/10 2.0. Showing how quantiles (esp. quartiles) are calculated in R.R offers different functions to calculate quartiles, which can produce different output.Examples data - c(1,12,14,3,96,111)&#x-0.3;䑃 Investigating leaf size for different trees . How can we collect a random sample of 20 leaves? . What measurement shall we take?. Leaf A length mm. Leaf B length mm. Leaf C Length mm. 54. 78. 46. 65. Study Procedures and Data Elements, Sources, Uses, and Issues . Thomas Delate, PhD, MS. Clinical Pharmacy Research Scientist. Learning Objectives. Class 3: Study Procedures and Data Elements, Sources, Uses, and Issues . Quartiles, Deciles,. Percentiles. Q. 1. , Q. 2. , Q. 3. . divides . ranked. scores into four equal . parts, using three quartiles.. Quartiles. 25%. 25%. 25%. 25%. Q. 3. Q. 2. Q. 1. Q. 1. , Q. 2. Sample – only a part of the whole. Based on sample, we’ll make a prediction about the population.. Bad sampling: convenience, bias, voluntary. Good sampling: simple random sample(SRS).. Inferential Stats: making predictions or. • What does the median of a box plot tell us about the rest of the data. • How can you use quartiles to describe the data?. WARM UP. How many times per day do you brush your teeth?. 1. Create a box plot of the following responses.. Phase I Results and Phase II Plans. 8/5/2020. Background. Chlorophyll-. a. data submitted to SWQMIS is currently analyzed using several different laboratory methods. Potential for high degree of variability when assessing the resulting data.

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