Summarize numerical data sets in relation to their context, such as by:
a. reporting the number of observations.
b. describing the nature of the attribute under investigation, including how it was measured and its units of measurement.
c. giving quantitative measures of center (median and/or mean) and variability (interquartile range and/or mean absolute deviation), as well as describing any overall pattern and any striking deviations from the overall pattern with reference to the context in which the data were gathered.
d. relating the choice of measures of center and variability to the shape of the data distribution and the context in which the data were gathered.
• justify the use of a particular measure of center or measure of variability based on the shape of the data.
• use a measure of center and a measure of variation to draw inferences about the shape of the data distribution.
• describe overall patterns and any deviations in the data and how they relate to the context of the problem.
• determine measures of variation by calculating the interquartile range (IQR) of a set of numerical data.
• determine the measures of variation by calculating the mean absolute deviation (MAD) of a set of numerical data.
• perform a statistical investigation, including the collection, organization, and analysis of the data. Analysis should include the appropriate statistics from mean, median, IQR, measures of venter, measures of variability, data, MAD, and upper and lower quartiles.
• calculate the mean absolute deviation (MAD) for a data set and explain that MAD is the mean of the absolute values of the differences of each point in the data set from the mean of the data set.
• communicate a deep understanding of (1) observations, (2) appropriate measure of center and spread for a particular data set, (3) appropriate section of a graph to represent data collected, and (4) overall patterns in a distribution, including outliers, through statistical investigation.
In class, we complete the MATH workshop each period. This is a blended, rotation model of teaching where your student is receiving the standards in multiple different settings while completing many different activities. This allows me to have time with your students in a very small group setting to help when necessary further develop the understanding of the standards.
The week students will be assigned the following on IXL to practice class concepts:
IXL: (Monday/Wednesday/Thursday) GG3, GG11, HH4
Mathspace: Mathspace DIA #3 Review Due Monday 12-3-18
If additional help is needed, students are encouraged to view a lesson regarding a given topic on Khan Academy. This website is free and provides both video instruction as well as practice problems.
Students are able to complete additional practice on both Mathspace and IXL
**** Accommodations provided as needed
Please contact me as needed: Remind @ih6advance or email: firstname.lastname@example.org