8-4 Modeling with Quadratic Functions – We used quadratic functions fitted to data to model real-world situations. Then we learned to use the vertical motion model to write an equation. Next we compared a model to a data set by analyzing and evaluating residuals.
Assignment: Complete the assigned problems for homework.

We will observe examples of frequency distributions and we will create frequency distributions for data. Examples will be given and discussed. We will identify possible ways to display the frequency distributions, such as histograms and stem plots.

Our emphasis today will be on measurers of center: mean, median, mode, and midrange. We will discuss how to find the values of each and also when to use the appropriate one in a given context.

We will solve problems involving frequency distributions, histograms, and stem-and-leaf plots.

We will define basic terms such as data, statistics, population, and sample. We will look at examples representing the meaning of each of these terms. We will begin analyzing data using a frequency distribution, histogram, and stem-and-leaf plot.

We explored quadratic graphs this afternoon, which served to be a helpful review for Kaitlin. She ordered quadratic functions from widest to narrowest, without graphing, and subsequently graphed and compared graphs in other problems. We discussed parabolas, which Kaitlin graphed noting they represent a plane curve which is mirror symmetrical and typically U shaped - exactly as she graphed.

We will create frequency distributions from a set of data. We will then apply graphs to represent the frequency distributions. We will do histograms and stem-and-leaf plots.

A test on probability will be given. This test is not a high-stakes test but is designed to determine if more session time is needed to complete the probability unit.

I planned for math.

We will do a practice test to review for the probability test tomorrow.