September 8th 2015 (Tue.)
Classroom Expectations:
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September 9th 2015 (Weds.)
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September 10th 2015 (Thurs.)
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September 11th 2015 (Fri.)
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September 14th 2015 (Mon.)
PRE-TEST- Chapter 1 (Getting Started) on the Clickers Upon Completion of the Chapter 1 Pre-Test, Students will receive their Text Book,and put there binders together with labeled tabs, Students will receive a log in sheet for the week. (Due Friday) |
September 15th 2015 (Tues.)
Notes 1.1- What is Statistics? Students will read/discuss/ take notes over section 1.1 within their groups Teacher will distribute a outline guide for section 1.1 (expectations for what teacher is looking for in students notes) Teacher will collect notes 1.1 at the end of the hour. I will be able to ·
Success Criteria: Q&A Notes
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September 16th 2015 (Weds.)
Groups will be assigned an example from the reading 1.1. They will discuss the solutions to better understand the material and present their reasoning to the solutions of the examples to their peers (Smart-Board). Teacher will pass back notes 1.1 students took from yesterday. Also, teacher will supply notes for section 1.1 to help with the example assigned to each group. Extra Practice Questions that relate to examples groups will be presenting. Example 1: pg. 10 #5 Example 2: pg. 11 #9 In-Class Assignment: pg. 10-11 #'s 1-13 all Students are to HELP each other with the in-class assignment with teachers help. I will be able to ·
Q&A Notes
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September 17th 2015 (Thurs.)
Warm-up: Hand-Out review over section 1.1 (Random Samples) Notes 1.2 Random Samples Students will read/discuss/ take notes over section 1.2 within their groups Teacher will distribute a outline guide for section 1.2 (expectations for what teacher is looking for in students notes) Teacher will collect notes 1.2 at the end of the hour. I will be able to:
Success Criteria: Q&A Notes
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September 18th 2015 (Fri.)
Groups will be assigned an example from the reading 1.2. They will discuss the solutions to better understand the material and present their reasoning to the solutions of the examples to their peers (Smart-Board). Teacher will pass back notes 1.2 students took from yesterday. Also, teacher will supply notes for section 1.2 to help with the example assigned to each group. Extra Practice Questions that relate to examples groups will be presenting: Guided Example 3 pg. 17 #4 Example 3: pg. 18 # 8 Guided Example 4: pg. 18 #11 Sampling Techniques: pg. 19 #15 In-Class Assignment: pg. 17-19 #'s 1-16 all I will be able to:
Success Criteria: Q&A Notes |
September 21st 2015
Notes 1.2- Random Samples Students will read/discuss/ take notes over section 1.2 within their groups Teacher will distribute a outline guide for section 1.2 (expectations for what teacher is looking for in students notes) Teacher will collect notes 1.2 at the end of the hour. I will be able to ·
Success Criteria: Q&A Notes |
September 22nd 2015\
Groups will be assigned an example from the reading 1.2. They will discuss the solutions to better understand the material and present their reasoning to the solutions of the examples to their peers (Smart-Board). Teacher will pass back notes 1.2 students took from yesterday. Also, teacher will supply notes for section 1.2 to help with the example assigned to each group. In-Class Assignment: pg. 17-19 #'s 1-16 all Students are to HELP each other with the in-class assignment with teachers help. I will be able to ·
Q&A Notes |
September 23rd 2015
Students will continue working on the Practice problems from section 1.2 ( Random Samples) In-Class: pg. 17-19 1-16 due at the end of the hour. If completed early students will study for their quiz on Thursday over sections 1.1-1.2 |
September 24th 2015
Quiz over sections 1.1-1.2 After quiz: Notes 1.3- Introduction to Experimental Design Students will read/discuss/ take notes over section 1.3 within their groups Teacher will distribute a outline guide for section 1.3 (expectations for what teacher is looking for in students notes) Teacher will collect notes 1.3 at the end of the hour. I will be able to · Discuss what it means to take a census Describe simulations, observational studies, and experiments. Identify control groups,. placebo effects, completely randomized experiments, and randomized block experiments. Discuss potential pitfalls that might make your data unreliable. Success Criteria: Q&A Notes |
September 25th 2015 Groups will be assigned an example from the reading 1.3. They will discuss the solutions to better understand the material and present their reasoning to the solutions of the examples to their peers (Smart-Board). Teacher will pass back notes 1.3 students took from yesterday. Also, teacher will supply notes for section 1.3 to help with the example assigned to each group. In-Class: pg. 26-27 #'s 1-7 all I will be able to · Discuss what it means to take a census Describe simulations, observational studies, and experiments. Identify control groups,. placebo effects, completely randomized experiments, and randomized block experiments. Discuss potential pitfalls that might make your data unreliable. Success Criteria: Q&A Notes |
Sept. 28th 2015
Warm-up: Pass Back Quiz/ Go through Quiz with class.
Notes 1.3- Introduction to Experimental Design Students will read/discuss/ take notes over section 1.3 within their groups Teacher will distribute a outline guide for section 1.3 (expectations for what teacher is looking for in students notes) Teacher will collect notes 1.3 at the end of the hour. I will be able to · Discuss what it means to take a census Describe simulations, observational studies, and experiments. Identify control groups,. placebo effects, completely randomized experiments, and randomized block experiments. Discuss potential pitfalls that might make your data unreliable. Success Criteria: Q&A Notes |
Sept. 29th 2015
Groups will be assigned an example from the reading 1.3. They will discuss the solutions to better understand the material and present their reasoning to the solutions of the examples to their peers (Smart-Board). Teacher will pass back notes 1.3 students took from yesterday. Also, teacher will supply notes for section 1.3 to help with the example assigned to each group. In-Class: pg. 26-27 #'s 1-7 all I will be able to · Discuss what it means to take a census Describe simulations, observational studies, and experiments. Identify control groups,. placebo effects, completely randomized experiments, and randomized block experiments. Discuss potential pitfalls that might make your data unreliable. Success Criteria: Q&A Notes |
Sept. 30th 2015
Review for chapter 1 Test . |
Oct. 1st 2015
Review for Chapter 1 test |
Oct. 2nd 2015 CHAPTER 1 Test ! |
October 5th 2015
Warm-up: How did you feel you did on Test? Could you have done something differently to prepare for the test? Pass back test from Friday Collect Weekly Log Sheet Notes 1.3- Introduction to Experimental Design Students will read/discuss/ take notes over section 1.3 within their groups Teacher will distribute a outline guide for section 1.3 (expectations for what teacher is looking for in students notes) Teacher will collect notes 1.3 at the end of the hour. I will be able to · Organize raw data using a frequency table. Construct histograms, relative-frequency histograms, and ogives. Recognize basic distribution shapes: uniform, symmetric, skewed, and bimodal. Interpret graphs in the context of the data setting. |
October 6th 2015
Students will continue taking notes over section 2.1 from yesterday. Technology Lab Students will be able to use the graphing calculator to make histograms (hand-out) |
Oct. 7th 2015
Warm-up: NONE Groups will be assigned an example from the reading 2.1. They will discuss the solutions to better understand the material and present their reasoning to the solutions of the examples to their peers (Smart-Board). Teacher will pass back notes 2.1 students took from yesterday. Also, teacher will supply notes for section 2.1 to help with the example assigned to each group. Students will be working on Practice Problems from Section 2.1 (Notes were given on Friday) Students will be working together to communicate on how to solve these problems. pg. 46-49\ #'s 1-15 all Students will be able to:Organize raw data using a frequency table. Construct histograms, relative-frequency histograms, and ogives. Recognize basic distribution shapes: uniform, symmetric, skewed, and bimodal. Interpret graphs in the context of the data setting |
Oct.2nd 2014
Warm-up: NONE
Students will be working on Practice Problems from Section 2.1 (Notes were given on Friday) Students will be working together to communicate on how to solve these problems. pg. 46-49\ #'s 1-15 all Students will be able to: Organize raw data using a frequency table. Construct histograms, relative-frequency histograms, and ogives. Recognize basic distribution shapes: uniform, symmetric, skewed, and bimodal. Interpret graphs in the context of the data setting. |
Oct. 3rd 2014 Quiz over sections 2.1 and the use of the graphing calculator |
Oct. 6th 2014
Warm-up: Turn to page 50 of your textbook Students will read with their partners section 2.2 ( Bar Graphs, and Time-Series Graphs) Students will be able to: Determine types of graphs appropriate for specific data. Construct a bar graph, Pareto chars, circle graphs and time-series graphs. Interpret information displayed in graphs. |
Oct. 7th 2014
Warm-up: Take out book and turn to page 50 of your textbook,. Student will work on the exercise problems from section 2.2 pg. 55-57 #'s 1-12 all Students will be able to: Determine types of graphs appropriate for specific data. Construct a bar graph, Pareto chars, circle graphs and time-series graphs. Interpret information displayed in graphs. |
Oct. 8th 2014
Warm-up: Take out book and turn to page 57 of your textbook Notes 2.3 ( Stem-and-Leaf Displays) Students will be able to: Construct a stem-and-leaf display from raw data. Use a stem-and-leaf display to visualize data distribution. and compare a stem-and-leaf display to a histogram. |
Oct.9th 2014
Warm-up: Take out book and turn to page 62 of your textbook
Students will work on the exercise problems from section 2.3 ( Stem-and-Leaf Displays) pg. 62-64 #'s 1-6 all Students will work in groups to communicate and work through the practice problems, with teachers assistance Students will be able to: Construct a stem-and-leaf display from raw data. Use a stem-and-leaf display to visualize data distribution. and compare a stem-and-leaf display to a histogram. |
Oct. 10th 2014 TEST Sections 2.1-2.3 |
Oct. 6th 2014
Warm-up: Turn to page 50 of your textbook Students will read with their partners section 2.2 ( Bar Graphs, and Time-Series Graphs) Students will be able to: Determine types of graphs appropriate for specific data. Construct a bar graph, Pareto chars, circle graphs and time-series graphs. Interpret information displayed in graphs. |
Oct. 7th 2014
Warm-up: Take out book and turn to page 50 of your textbook,. Student will work on the exercise problems from section 2.2 pg. 55-57 #'s 1-12 all Students will be able to: Determine types of graphs appropriate for specific data. Construct a bar graph, Pareto chars, circle graphs and time-series graphs. Interpret information displayed in graphs. |
Oct. 8th 2014
Warm-up: Take out book and turn to page 57 of your textbook Notes 2.3 ( Stem-and-Leaf Displays) Students will be able to: Construct a stem-and-leaf display from raw data. Use a stem-and-leaf display to visualize data distribution. and compare a stem-and-leaf display to a histogram. |
Oct.9th 2014
Warm-up: Take out book and turn to page 62 of your textbook
Students will work on the exercise problems from section 2.3 ( Stem-and-Leaf Displays) pg. 62-64 #'s 1-6 all Students will work in groups to communicate and work through the practice problems, with teachers assistance Students will be able to: Construct a stem-and-leaf display from raw data. Use a stem-and-leaf display to visualize data distribution. and compare a stem-and-leaf display to a histogram. |
Oct. 10th 2014 TEST Sections 2.1-2.3 |
Oct. 12th 2014
Warm-up: Take out book and turn to page 50 of your textbook,.
Student will work on the exercise problems from section 2.2 pg. 55-57
#'s 1-12 all
Students will be able to:
Determine types of graphs appropriate for specific data. Construct a bar graph, Pareto chars, circle graphs and time-series graphs. Interpret information displayed in graphs.
Oct. 13th 2014
Warm-up: Take out book and turn to page 57 of your textbook
Notes 2.3 ( Stem-and-Leaf Displays)
Students will be able to:
Construct a stem-and-leaf display from raw data. Use a stem-and-leaf display to visualize data distribution. and compare a stem-and-leaf display to a histogram.
Oct. 14th 2014
Warm-up: Take out book and turn to page 62 of your textbook
Students will work on the exercise problems from section 2.3 ( Stem-and-Leaf Displays) pg. 62-64 #'s 1-6 all
Students will work in groups to communicate and work through the practice problems, with teachers assistance
Students will be able to:
Construct a stem-and-leaf display from raw data. Use a stem-and-leaf display to visualize data distribution. and compare a stem-and-leaf display to a histogram.
Oct. 15th 2014
Review over sections 2.1 and 2.3
Oct. 16th 2014
Test over section 2.1-2.3
Warm-up: Take out book and turn to page 50 of your textbook,.
Student will work on the exercise problems from section 2.2 pg. 55-57
#'s 1-12 all
Students will be able to:
Determine types of graphs appropriate for specific data. Construct a bar graph, Pareto chars, circle graphs and time-series graphs. Interpret information displayed in graphs.
Oct. 13th 2014
Warm-up: Take out book and turn to page 57 of your textbook
Notes 2.3 ( Stem-and-Leaf Displays)
Students will be able to:
Construct a stem-and-leaf display from raw data. Use a stem-and-leaf display to visualize data distribution. and compare a stem-and-leaf display to a histogram.
Oct. 14th 2014
Warm-up: Take out book and turn to page 62 of your textbook
Students will work on the exercise problems from section 2.3 ( Stem-and-Leaf Displays) pg. 62-64 #'s 1-6 all
Students will work in groups to communicate and work through the practice problems, with teachers assistance
Students will be able to:
Construct a stem-and-leaf display from raw data. Use a stem-and-leaf display to visualize data distribution. and compare a stem-and-leaf display to a histogram.
Oct. 15th 2014
Review over sections 2.1 and 2.3
Oct. 16th 2014
Test over section 2.1-2.3
Oct. 19th 2015
Warm-up: Pre-Test over Chapter 3 (Averages and Variation) Once Completed with pre-test students will Turn to page 74 of your textbook. Students will read with their partners section 3.1( Measures of Central Tendency: Mode. Median, and Mean) Students will read/discuss/ take notes over section 1.3 Teacher will distribute a outline guide for section 1.3 (expectations for what teacher is looking for in students notes) Teacher will collect notes 3.1 at the end of the hour. Students will be able to: Compute mean, median and mode from raw data. Interpret what mean, median, and mode tell you. Explain how mean, median, and mode can be affected by extreme data values. What is trimmed mean? How do you compute it? Compute a weighted average. |
Oct. 20th 2015
Groups will be assigned an example from the reading 3.1. They will discuss the solutions to better understand the material and present their reasoning to the solutions of the examples to their peers (Smart-Board). Teacher will pass back notes 3.1 students took from yesterday. Also, teacher will supply notes for section 3.1 to help with the example assigned to each group. Students will be working on Practice Problems from Section 3.1 (Notes were given on Friday) Students will be working together to communicate on how to solve these problems. Students will be able to: Compute mean, median and mode from raw data. Interpret what mean, median, and mode tell you. Explain how mean, median, and mode can be affected by extreme data values. What is trimmed mean? How do you compute it? Compute a weighted average. |
Oct. 21st 2015
Warm-up: Graphing Calculator Lab- (Average and Variation) Students will be able to find the mean, median and mode on the graphing calculator. |
Oct.22nd 2015
Oct. 20 2015
Warm-up: none Notes 3.2( Measures of Variation) Students will be able to Find the range, variance, and standard deviation. Compute the coefficient of variation from raw data. Why is the coefficient of variation important? Apply Chebyshev's Theorem to raw data. What does a Chebyshev interval tell us? |
Oct. 23rd 2015 Warm-up: Students will work together on Exercise Practice Problems 3.2 ( Measures of variation. With teachers assistance. pg. 96-99 #'s 1-21 all Students will be given two days to complete the assignment. |
Oct. 26th, 2015
Notes Section 3.3 (Percentiles and Box-and Whisker Plots)
Students will be able to: Interpret the meaning of percentile scores, Compute the median, Quartiles, and five-number summary from raw data. Make a box-and-whisker plot. Interpret the results. Describe how a box-and-whisker plot indicates spread of data about the mean. |
Oct. 27th 2015
Students will work together on Exercise Practice Problems 3.3 ( Measures of variation. With teachers assistance. IN-class: pg. 109 #'s 1-9 odds (Section 3.3) |
Oct. 28th 2015
Warm-up: read through the chapter summary pg. 112 Chapter Review Problems on page 113-115 #'s 1-11 all |
Oct.29th 2015
Continue with chapter Review Problems on page 113-115 #'s 1-11 all
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Oct. 30th 2015 Test Chapter 3 |
November 2nd 2015
CHAPTER 3 TEST
averages and Variation measures of Central Tendency: Mode, Median, and Mean. Measures of Variation, Percentiles and Box and Whisker plots. |
November 3rd 2015
NO SCHOOL |
Nov. 5th 2014
Warm-up: Pre-Test over Chapter 4 Notes 4.1 ( what is probability?) Students will read with their partners section 4.1( ( what is probability?) Students will read/discuss/ take notes over section 4.1 Teacher will distribute a outline guide for section 4.1 (expectations for what teacher is looking for in students notes) Teacher will collect notes 4.1 at the end of the hour. I will be able to: Assign probabilities to events Explain how the law of large numbers relates to relative frequencies. Apply basic rules of probability in everyday life. Explain the relationship between statistics and probability. |
Nov. 6th 2014
Students will work together on Exercise Practice Problems 4.1 IN-class: pg. 130-132 #'s 1-12 all |
Nov. 7th 2014 Warm-up: pg. 77 in teachers book Review over section 4.1 ( What is probability with the students) |
November 9th 2015
Warm-up:
pass out notes 4.2 From Friday
Section 4.2 (Some Probability Rules-Compound Events)
Video over section 4.2
Students will take notes and include examples in the notes from the video
I will be able to:
Compute probabilities of general compound events
Compute probabilities involving independent events or mutually exclusive events
Use survey results to compute conditional probabilities.
November 10th 2015
Warm-up: Turn to page 146
Teacher will go through some practice problems from section 4.2
Students will work on In-Class assignment over section 4.2 with teacher and students assistance.
I will be able to: I
Compute probabilities of general compound events
Compute probabilities involving independent events or mutually exclusive events
Use survey results to compute conditional probabilities.
November 11th 2015
Warm-up: Take out in-class assignment from yesterday
Students will Continue working on the in-class assignment from yesterday , with students and teachers assistance.
I will be able to: I
Compute probabilities of general compound events
Compute probabilities involving independent events or mutually exclusive events
Use survey results to compute conditional probabilities.
November 12th 2015
Warm-up: turn to page 152 (Trees and Counting Techniques)
Students will take notes over section 4.3 providing Vocabulary and examples.
Will collect notes at the end of the hour.
November 13th 2015
Warm-up:
Warm-up:
pass out notes 4.2 From Friday
Section 4.2 (Some Probability Rules-Compound Events)
Video over section 4.2
Students will take notes and include examples in the notes from the video
I will be able to:
Compute probabilities of general compound events
Compute probabilities involving independent events or mutually exclusive events
Use survey results to compute conditional probabilities.
November 10th 2015
Warm-up: Turn to page 146
Teacher will go through some practice problems from section 4.2
Students will work on In-Class assignment over section 4.2 with teacher and students assistance.
I will be able to: I
Compute probabilities of general compound events
Compute probabilities involving independent events or mutually exclusive events
Use survey results to compute conditional probabilities.
November 11th 2015
Warm-up: Take out in-class assignment from yesterday
Students will Continue working on the in-class assignment from yesterday , with students and teachers assistance.
I will be able to: I
Compute probabilities of general compound events
Compute probabilities involving independent events or mutually exclusive events
Use survey results to compute conditional probabilities.
November 12th 2015
Warm-up: turn to page 152 (Trees and Counting Techniques)
Students will take notes over section 4.3 providing Vocabulary and examples.
Will collect notes at the end of the hour.
November 13th 2015
Warm-up:
November 17th 2014
November 18th 2014
I-READY TESTING
November 19th 2014
Warm-up: Hand-out over section 4.2 ( Some Probability Rules-Compound Events)
In-class: pg. 146-152 #'s 1-27 odds ( with teachers assistance and partners assistance)
I will be able to:
Compute probabilities of general compound events
Compute probabilities involving independent events or mutually exclusive events
Use survey results to compute conditional probabilities.
November 20th 2014
Warm-up: pg. 146 #2, 4, 6
Students will continue working on the in-class assignment form yesterday
I will be able to:
Compute probabilities of general compound events
Compute probabilities involving independent events or mutually exclusive events
Use survey results to compute conditional probabilities.
November 21st
Quiz over Sections 4.1-4.2
November 18th 2014
I-READY TESTING
November 19th 2014
Warm-up: Hand-out over section 4.2 ( Some Probability Rules-Compound Events)
In-class: pg. 146-152 #'s 1-27 odds ( with teachers assistance and partners assistance)
I will be able to:
Compute probabilities of general compound events
Compute probabilities involving independent events or mutually exclusive events
Use survey results to compute conditional probabilities.
November 20th 2014
Warm-up: pg. 146 #2, 4, 6
Students will continue working on the in-class assignment form yesterday
I will be able to:
Compute probabilities of general compound events
Compute probabilities involving independent events or mutually exclusive events
Use survey results to compute conditional probabilities.
November 21st
Quiz over Sections 4.1-4.2
November 24th 2014
Quiz
4.1-4.2
November 25th 2014
I-ready Testing
No school 26-28- Thanksgiving Break!
Quiz
4.1-4.2
November 25th 2014
I-ready Testing
No school 26-28- Thanksgiving Break!