1 / 6

EQ2,3,4: How can I interpret graphs and tabular representations of data?

EQ2,3,4: How can I interpret graphs and tabular representations of data?. Notes & Vocabulary Classwork: p.759, #3,4 Workbook – p.247-8 Mid-Chapter Quiz - GRADED. 13.05 13.11. 13.18. 13.19. Measures of Central Tendency.

vida
Download Presentation

EQ2,3,4: How can I interpret graphs and tabular representations of data?

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. EQ2,3,4: How can I interpret graphs and tabular representations of data? Notes & Vocabulary Classwork: p.759, #3,4 Workbook – p.247-8 Mid-Chapter Quiz - GRADED 13.05 13.11 13.18 13.19

  2. Measures of Central Tendency • Measures of central tendency describe the center of a set of data and include mean, median and mode. • Mean – sum of data divided by number of items in the data set • Median – middle number of the data ordered from least to greatest • Mode – number or numbers that occur the most

  3. Stem-and-Leaf Plots • Stem-and-Leaf Plots list numerical data in ascending or descending order. The greatest place value of the data is used for the stems. The next greatest place value forms the leaves. • List them from least to greatest in the Stem column. Write the leaf in the corresponding Leaf column. • Order leaves from least to greatest and write a key that explains how to read the stems and leaves.

  4. Measures of Variation • Measures of variation describe the distribution of data. • The range is the difference between the greatest and the least value of the set. • The quartiles divide the data into four equal parts. • The median separates the data set in half. • The interquartile range is the difference between the upper quartile and the lower quartile. • Outliers are values that are more than 1.5 times the value of the interquartile range beyond the quartiles.

  5. Box-and-Whisker Plots • A Box-and-Whisker plot uses a number line to show the distribution of a data set. • It divides a data set into four parts using the median and the quartiles. • A box is drawn around the quartile values and whiskers extend from each quartile to the extreme data points that are not outliers.

  6. Histograms • A histogram displays numerical data that has been organized into equal intervals with bars that have the same width and no space between them. • While a histogram does not show exacgt data points, its shape shows the distribution of the data. • Histograms can be used to compare data although the mean, median, mode and range cannot be determined.

More Related