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Agenda Message: 1. Weekly Basics Quarter 2 # 5 Due Friday 12/4/15. 2. Unit 3 Folder Project Due Thursday 12/3/15. 3. Unit 4 SLM Due Thursday 12/3/15. 11/30/15.

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Presentation on theme: "Agenda Message: 1. Weekly Basics Quarter 2 # 5 Due Friday 12/4/15. 2. Unit 3 Folder Project Due Thursday 12/3/15. 3. Unit 4 SLM Due Thursday 12/3/15. 11/30/15."— Presentation transcript:

1 Agenda Message: 1. Weekly Basics Quarter 2 # 5 Due Friday 12/4/15. 2. Unit 3 Folder Project Due Thursday 12/3/15. 3. Unit 4 SLM Due Thursday 12/3/15. 11/30/15 E Q: How do you know which type of graph to use when displaying data? MCC7.SP.1 MCC7.SP.2 MCC7.SP.3 MCC7.SP.4 A ctivating Strategy: Find the mean, median, mode, and range for the following data set: 25, 27, 35, 17, 42, 18, 20, 28, 67, 27, 24 Is there an outlier? If so, what is it? T eaching Strategy: Unit 4 vocabulary graphic organizer Copy the vocabulary words found on page 540 on your graphic organizer. Find and write out the definitions for each word. (back of the book) Give an example for each word. (found in chapter 7) This assignment is due at the end of class today. (NO Cutting or Pasting. This will go in your new folder.) S ummarizing Strategy: Based on the vocabulary terms, what do you expect to learn in this unit? (write your answers on the back of your graphic organizer.

2 Concept: Sampling Populations (SP.1) (SP.2) Lesson EQ: 1.How can data be collected and used to draw inferences about a population? 2. How do you determine if a sample represents valid results? KNOW: Random sampling guarantees that each element of the population has an equal opportunity to be selected in the sample (SP.1) A random sample must represent population to make valid inferences (SP.1) Representative samples can be used to make valid inferences about a population. (SP.1) A random sample increases the likelihood of obtaining a representative sample of a population. (SP.1) A random sample can be used to draw inferences about unknown characteristics of a population. (SP.2) DO: Determine if a sample is valid and representative of a population. (SP.1) (DOK 2) Use real-life situations to show the purpose for using random sampling to make inferences about a population. (SP.1) (DOK 2) Make inferences about a population based on a sample. (SP.2)(DOK 3) Explore the variation in estimates or predictions based on multiple samples of the same data. (SP.2)(DOK 2) Collect and use multiple samples of data to answer question(s) about a population. (SP.2) (DOK 2) Teaching Strategy: Chapter 7 Lesson 1 and 2. Read Examples and complete independent practice. S ummarizing Strategy: H.O.T. p.556 #5 How could the wording of a question or the tone of voice of the interviewer affect a survey? Provide an example.

3 Concept: Comparing Populations (SP.3) Lesson EQ: 1. What are measures of center? 2. What are measures of variation? KNOW: The measure of mean is independent of the measure of variability. (SP.3) Variability is responsible for the overlap of two data sets (SP.3) DO: Display numerical data in plots on a number line, including dot plots, stem-and-leaf plots, histograms, and box plots. (SP.3) (DOK 2) Use visual representations to compare and contrast numerical data from two populations using measures of variability and center. (SP.3) (DOK 3) Teaching Strategy: Power Point FIND THE MAD Power Point Measures of Variation Power Point Making a Box-And-Whisker PlotFIND THE MADMeasures of VariationMaking a Box-And-Whisker Plot

4 Concept: Comparing Populations (SP.4) Lesson EQ: 3. What measures are used to compare populations? 4. How can graphs and tables be used to compare data? KNOW: A set of data collected to answer a statistical question has a distribution which can be described by its center, spread, and overall shape. (SP.4) A measure of center for a numerical data set summarizes all of its values with a single number, while a measure of variation describes how its values vary with a single number. (SP.4) DO: Make comparative inferences about two populations using measures of center and variability. (SP.4) (DOK 3) Teaching Strategy: Chapter 7 Lesson 4 and 5. Read Examples and complete independent practice. Power Point Unit 4 Study GuideUnit 4 Study Guide

5 Agenda Message: Unit 4 CDA on Wednesday 12/16/15 Chapter 7 Test Thursday 12/17/15. A ctivating Strategy: 12/7/15 T eaching Strategy: Power Point Measures of Variation Chapter 7 Lesson 1 and 2. Read Examples and complete independent practice.Measures of Variation Determine the mode, range, median, and mean.

6 Agenda Message: Unit 4 CDA on Wednesday 12/16/15 Chapter 7 Test Thursday 12/17/15 A ctivating Strategy: 12/8/15 Find the mean, median, mode, and range for the following data set: 25, 27, 35, 17, 42, 18, 20, 28, 67, 27, 24 Is there an outlier? If so, what is it? Explain how it affects the measure of center. T eaching Strategy: Power Point FIND THE MAD Chapter 7 Lesson 4. Read Examples and complete independent practice.FIND THE MAD

7 Agenda Message: Unit 4 CDA on Wednesday 12/16/15 Chapter 7 Test Thursday 12/17/15 A ctivating Strategy: 12/9/15 Find the MAD for the data Dayhours Mon25 Tues36 Wed15 Thurs.40 Fri39 Sat35 Sun20 T eaching Strategy: Power Point Making a Box-And-Whisker PlotMaking a Box-And-Whisker Plot Chapter 7 Lesson 5. Read Examples and complete independent practice.

8 Agenda Message: Unit 4 CDA on Wednesday 12/16/15 Chapter 7 Test Thursday 12/17/15 A ctivating Strategy: 12/10/15 Find the 5 Number Summary, Make a Box-And-Whisker Plot, then find the IQR for the data below. 25, 20, 35, 15, 40, 20, 20, 30, 70 T eaching Strategy: Chapter 7 Review p. 599-560 Monday 12/14 and Tuesday 12/15 Unit 4 CDA Study Guide


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