Intro Stats: Home: Jesse Cox

Intro Stats

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LESSON PLANS:

Most assignments will ALWAYS be better in class. On the occasions when school is closed, I will post alternative forms of each experiment.

DAY	DATE	ASSIGNMENT	Learning Goals	LOCATION
1	8/10	Introductions, Names, Rules
2	8/11	1 in 6 Wins	Introduces students to what statistics is ALL about	Canvas
3	8/12	Lesson 1.1	Identify the individuals and variables in a data set, then classify the variables as categorical or quantitative. Summarize the distribution of a variable with a frequency table or a relative frequency table	Canvas
4	8/13	Lesson 1.2	Make and interpret bar charts of categorical data. Interpret bar charts. Identify what makes some graphs of categorical data deceptive.	Canvas
5	8/14	Lesson 1.3	Make and interpret dotplots of quantitative data. Describe the shape of a distribution. Compare distributions of quantitative data with dotplots.	Canvas
6	8/17	Lesson 1.4	Make stem plots of quantitative data. Interpret stemplots. Compare distributions of quantitative data with stemplots.	Canvas
7	8/18	Lesson 1.5	Make histograms of quantitative data. Interpret histograms. Compare distributions of quantitative data with histograms.	Canvas
8	8/19	Quiz 1	Quiz 1.1 - 1.5	Canvas
9	8/20	Lesson 1.6	Find and interpret the median of a distribution of quantitative data. Calculate the mean of a distribution of quantitative data. Compare the mean and median of a distribution, and choose the more appropriate measure of center in a given setting.	Canvas
10	8/21	Lesson 1.7	Find the range of a distribution of quantitative data. Find and interpret the interquartile range. Calculate and interpret standard deviation.	Canvas
11	8/24	Lesson 1.8	Use the 1.5 x IQR rule to identify outliers. Make and interpret boxplots of quantitative data. Compare distributions of quantitative data with boxplots.	Canvas
12	8/25	Lesson 1.9	Find and interpret a percentile in a distribution of quantitative data. Estimate percentiles and individual values using a cumulative relative frequency graph. Find and interpret a standardized score (z-score) in a distribution of quantitative data.	Canvas
14	8/27	Chapter 1 Big Ideas	Review Chapter 1	Canvas

BASIC INFO:

The Intro Statistic course introduces students to the concepts and tools for collecting, analyzing, and drawing conclusions from data. There are four themes evident in the content, skills, and assessment in the Stats course: exploring data, sampling and experimenting, probability and simulation, and statistical inferences. Students use technology, investigations, problem solving, and writing as they build conceptual understanding.

SUPPLIES: 3 ring binder and two different colored writing utensil.

GRADING POLICY: Daily Grades(50%): homework, notes, in-class assignments, and quizzes. Major Grades (50%): tests, projects, polished drafts

Below is the year at a glance pdf.

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Click here to Download YAG_Stats.pdf

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On the occasions when school is closed, I will post alternative forms of each experiment.\n<table style=\"border-collapse: collapse; width: 100%; height: 435px;\" border=\"1\">\n<tbody>\n<tr style=\"height: 29px;\">\n<td style=\"width: 13.4164%; height: 29px;\">DAY</td>\n<td style=\"width: 15.176%; height: 29px;\">DATE</td>\n<td style=\"width: 23.2038%; height: 29px;\">ASSIGNMENT</td>\n<td style=\"width: 23.2038%; height: 29px;\">Learning Goals</td>\n<td style=\"width: 25%; height: 29px;\">LOCATION</td>\n</tr>\n<tr style=\"height: 29px;\">\n<td style=\"width: 13.4164%; height: 29px;\">1</td>\n<td style=\"width: 15.176%; height: 29px;\">8/10</td>\n<td style=\"width: 23.2038%; height: 29px;\">Introductions, Names, Rules</td>\n<td style=\"width: 23.2038%; height: 29px;\"></td>\n<td style=\"width: 25%; height: 29px;\"></td>\n</tr>\n<tr style=\"height: 29px;\">\n<td style=\"width: 13.4164%; height: 29px;\">2</td>\n<td style=\"width: 15.176%; height: 29px;\">8/11</td>\n<td style=\"width: 23.2038%; height: 29px;\">1 in 6 Wins</td>\n<td style=\"width: 23.2038%; height: 29px;\">Introduces students to what statistics is ALL about</td>\n<td style=\"width: 25%; height: 29px;\">Canvas</td>\n</tr>\n<tr style=\"height: 29px;\">\n<td style=\"width: 13.4164%; height: 29px;\">3</td>\n<td style=\"width: 15.176%; height: 29px;\">8/12</td>\n<td style=\"width: 23.2038%; height: 29px;\">Lesson 1.1</td>\n<td style=\"width: 23.2038%; height: 29px;\">\n<ul class=\"font_7\">\n<li>\nIdentify the individuals and variables in a data set, then classify the variables as categorical or quantitative.\n</li>\n<li>\nSummarize the distribution of a variable with a frequency table or a relative frequency table\n</li>\n</ul>\n</td>\n<td style=\"width: 25%; height: 29px;\">Canvas</td>\n</tr>\n<tr style=\"height: 29px;\">\n<td style=\"width: 13.4164%; height: 29px;\">4</td>\n<td style=\"width: 15.176%; height: 29px;\">8/13</td>\n<td style=\"width: 23.2038%; height: 29px;\">Lesson 1.2</td>\n<td style=\"width: 23.2038%; height: 29px;\">\n<ul class=\"font_7\">\n<li>\nMake and interpret bar charts of categorical data.\n</li>\n<li>\nInterpret bar charts.\n</li>\n<li>\nIdentify what makes some graphs of categorical data deceptive.\n</li>\n</ul>\n</td>\n<td style=\"width: 25%; height: 29px;\">Canvas</td>\n</tr>\n<tr style=\"height: 29px;\">\n<td style=\"width: 13.4164%; height: 29px;\">5</td>\n<td style=\"width: 15.176%; height: 29px;\">8/14</td>\n<td style=\"width: 23.2038%; height: 29px;\">Lesson 1.3</td>\n<td style=\"width: 23.2038%; height: 29px;\">\n<ul class=\"font_7\">\n<li>\nMake and interpret dotplots of quantitative data.\n</li>\n<li>\nDescribe the shape of a distribution.\n</li>\n<li>\nCompare distributions of quantitative data with dotplots.\n</li>\n</ul>\n</td>\n<td style=\"width: 25%; height: 29px;\">Canvas</td>\n</tr>\n<tr style=\"height: 29px;\">\n<td style=\"width: 13.4164%; height: 29px;\">6</td>\n<td style=\"width: 15.176%; height: 29px;\">8/17</td>\n<td style=\"width: 23.2038%; height: 29px;\">Lesson 1.4</td>\n<td style=\"width: 23.2038%; height: 29px;\">\n<ul class=\"font_8 color_15\">\n<li>\nMake stem plots of quantitative data.\n</li>\n<li>\nInterpret stemplots.\n</li>\n<li>\nCompare distributions of quantitative data with stemplots. \n</li>\n</ul>\n</td>\n<td style=\"width: 25%; height: 29px;\">Canvas</td>\n</tr>\n<tr style=\"height: 29px;\">\n<td style=\"width: 13.4164%; height: 29px;\">7</td>\n<td style=\"width: 15.176%; height: 29px;\">8/18</td>\n<td style=\"width: 23.2038%; height: 29px;\">Lesson 1.5</td>\n<td style=\"width: 23.2038%; height: 29px;\">\n<ul class=\"font_7\">\n<li>\nMake histograms of quantitative data.\n</li>\n<li>\nInterpret histograms.\n</li>\n<li>\nCompare distributions of quantitative data with histograms.\n</li>\n</ul>\n</td>\n<td style=\"width: 25%; height: 29px;\">Canvas</td>\n</tr>\n<tr style=\"height: 29px;\">\n<td style=\"width: 13.4164%; height: 29px;\">8</td>\n<td style=\"width: 15.176%; height: 29px;\">8/19</td>\n<td style=\"width: 23.2038%; height: 29px;\">Quiz 1</td>\n<td style=\"width: 23.2038%; height: 29px;\">Quiz 1.1 - 1.5</td>\n<td style=\"width: 25%; height: 29px;\">Canvas</td>\n</tr>\n<tr style=\"height: 29px;\">\n<td style=\"width: 13.4164%; height: 29px;\">9</td>\n<td style=\"width: 15.176%; height: 29px;\">8/20</td>\n<td style=\"width: 23.2038%; height: 29px;\">Lesson 1.6</td>\n<td style=\"width: 23.2038%; height: 29px;\">\n<ul class=\"font_8 color_15\">\n<li>\nFind and interpret the median of a distribution of quantitative data.\n</li>\n<li>\nCalculate the mean of a distribution of quantitative data.\n</li>\n<li>\nCompare the mean and median of a distribution, and choose the more appropriate measure of center in a given setting.\n</li>\n</ul>\n</td>\n<td style=\"width: 25%; height: 29px;\">Canvas</td>\n</tr>\n<tr style=\"height: 29px;\">\n<td style=\"width: 13.4164%; height: 29px;\">10</td>\n<td style=\"width: 15.176%; height: 29px;\">8/21</td>\n<td style=\"width: 23.2038%; height: 29px;\">\nLesson 1.7\n</td>\n<td style=\"width: 23.2038%; height: 29px;\">\n<ul class=\"font_8 color_15\">\n<li>\nFind the range of a distribution of quantitative data.\n</li>\n<li>\nFind and interpret the interquartile range.\n</li>\n<li>\nCalculate and interpret standard deviation.\n</li>\n</ul>\n</td>\n<td style=\"width: 25%; height: 29px;\">Canvas</td>\n</tr>\n<tr style=\"height: 29px;\">\n<td style=\"width: 13.4164%; height: 29px;\">11</td>\n<td style=\"width: 15.176%; height: 29px;\">8/24</td>\n<td style=\"width: 23.2038%; height: 29px;\">Lesson 1.8</td>\n<td style=\"width: 23.2038%; height: 29px;\">\n<ul class=\"font_7\">\n<li>\nUse the 1.5 x IQR rule to identify outliers.\n</li>\n<li>\nMake and interpret boxplots of quantitative data.\n</li>\n<li>\nCompare distributions of quantitative data with boxplots.\n</li>\n</ul>\n</td>\n<td style=\"width: 25%; height: 29px;\">Canvas</td>\n</tr>\n<tr style=\"height: 29px;\">\n<td style=\"width: 13.4164%; height: 29px;\">12</td>\n<td style=\"width: 15.176%; height: 29px;\">8/25</td>\n<td style=\"width: 23.2038%; height: 29px;\">Lesson 1.9</td>\n<td style=\"width: 23.2038%; height: 29px;\">\n<ul class=\"font_7\">\n<li>\nFind and interpret a percentile in a distribution of quantitative data.\n</li>\n<li>\nEstimate percentiles and individual values using a cumulative relative frequency graph.\n</li>\n<li>\nFind and interpret a standardized score (z-score) in a distribution of quantitative data.\n</li>\n</ul>\n</td>\n<td style=\"width: 25%; height: 29px;\">Canvas</td>\n</tr>\n<tr style=\"height: 29px;\">\n<td style=\"width: 13.4164%; height: 29px;\">14</td>\n<td style=\"width: 15.176%; height: 29px;\">8/27</td>\n<td style=\"width: 23.2038%; height: 29px;\">Chapter 1 Big Ideas</td>\n<td style=\"width: 23.2038%; height: 29px;\">\n Review Chapter 1\n</td>\n<td style=\"width: 25%; height: 29px;\">Canvas</td>\n</tr>\n</tbody>\n</table>\n \n \nBASIC INFO:\nThe Intro Statistic course introduces students to the concepts and tools for collecting, analyzing, and drawing conclusions from data. There are four themes evident in the content, skills, and assessment in the Stats course: exploring data, sampling and experimenting, probability and simulation, and statistical inferences. Students use technology, investigations, problem solving, and writing as they build conceptual understanding.\n \nSUPPLIES: 3 ring binder and two different colored writing utensil. \n \n \nGRADING POLICY: Daily Grades(50%): homework, notes, in-class assignments, and quizzes.  Major Grades (50%): tests, projects, polished drafts\n \nBelow is the year at a glance pdf."}, {:section_type=>"attachment", :attachment_id=>389167}]

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Intro Stats

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