Q3W19 Algebra

MAFS.912.S-ID.1.4  Use the mean and standard deviation data set to fit it to a normal distribution and to estimate population percentages. Recognize that there are data sets for which such a procedure is not appropriate. Use calculators, spreadsheets, and tables to estimate areas under the normal curve.

• These Learning Targets will be reviewed and tested this week.

• use the mean and standard deviation of a set of data to fit the data to a normal curve

• use the 68-95-99.7 Empirical Rule to estimate the percent of a normal population that falls within 1, 2, 3 standard deviations of the mean

• recognize that normal distributions are only appropriate for unimodal and symmetric shapes

• estimate the area under a normal curve using a calculator, table, or spreadsheet

• • identify and interpret the similarities and differences in the shape, center, and spread of a data set and within real-world context if given.

  • describe the center of the data distribution (mean or median).

  • choose the histogram with the largest mean when shown several histograms.

  • describe the spread of the data distribution (interquartile range or standard deviation).

  • choose the histogram with the greatest standard deviation when shown several histograms.

  • choose the box-and-whisker plot with the greatest interquartile range when shown several box-and-whisker plots.

  • understand and be able to identify which measure of center and spread are appropriate depending of the shape of the distribution.

  • recognize the mean moves towards a skew or extreme value.

  • Students will identify similarities and differences in shape, center, and spread when given two or more data sets.

  

  • identify the outliers for the data set.

  • predict the effect an outlier will have on the shape, center,and spread of a data set.

  • decide whether to include the outliers as part of the dataset or to remove them.

  • use their understanding of normal distribution and the empirical rule to answer questions about data sets.