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It outlines daily objectives for identifying variables, classifying categorical versus quantitative data, and reading and creating common graphs. 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If you have already purchased your book, The Practice of Statistics 6th Ed, then read the introduction and chapter 1 before completing these problems. If you do not have your book yet, you will have to use resources on the web to help you answer the questions in this packet. Searching based on the objectives should help you in each section. You might want to refer to the site Stats Medic and the AP Statistics YouTube channel for more help. There are also worked examples and exercises available on the book resource site:  \n[http://media.saplinglearning.com/priv/hs/stats/tps6e/student_resources/Starnes_Chapter_Student_Resources_In](http://media.saplinglearning.com/priv/hs/stats/tps6e/student_resources/Starnes_Chapter_Student_Resources_In)[dex.html\\#anchor1](dex.html#anchor1)  \nYou are responsible for the concepts and skills covered in Chapter 1 on the first full day of school. You will be assessed over these topics after a brief review of the skills and an opportunity to ask questions.  \n\n| Day | Topics | Objectives: Students will be able to… |\n| --- | --- | --- |\n| 1 | Chapter 1 Introduction | • Identify the individuals and variables in a set of data.\u003Cbr>• Classify variables as categorical or quantitative. |\n| 2 | 1.1 Bar Graphs and Pie Charts, Graphs: Good and Bad, Analyzing Data on Two Categorical Variables | • Make and interpret bar graphs for categorical data.\u003Cbr>• Identify what makes some graphs of categorical data misleading.\u003Cbr>• Calculate marginal and joint relative frequencies from a twoway table. |\n| 3 | 1.1 Relationships Between Two Categorical Variables | • Calculate conditional relative frequencies from a two-way table.\u003Cbr>• Use bar graphs to compare distributions of categorical data.\u003Cbr>• Describe the nature of the association between two categorical variables. |\n| 4 | 1.2 Dotplots, Stemplots, Histograms, Describing Shape | • Make and interpret dotplots, stemplots, and histograms of quantitative data.\u003Cbr>• Identify the shape of a distribution from a graph. |\n| 5 | 1.2 Describing Distributions, Comparing Distributions, Using Histograms Wisely | • Describe the overall pattern (shape, center, and variability) of a distribution and identify any major departures from the pattern (outliers) .\u003Cbr>• Compare distributions of quantitative data using dotplots, stemplots, and histograms. |\n| 6 | 1.3 Measuring Center: Mean and Median, Comparing the Mean and Median, Measuring Variability: Range, Standard Deviation and IQR | • Calculate measures of center (mean, median) for a distribution of quantitative data.\u003Cbr>• Calculate and interpret measures of variability (range, standard deviation, IQR) for a distribution of quantitative data.\u003Cbr>• Explain how outliers and skewness affect measures of center and variability. |\n| 7 | 1.3 Identifying Outliers, Making and Interpreting Boxplots, Comparing Distributions with Boxplots | • Identify outliers using the 1.5×IQR rule.\u003Cbr>• Make and interpret boxplots of quantitative data.\u003Cbr>• Use boxplots and numerical summaries to compare distributions of quantitative data. |\n\nAP Statistics Quiz 1.1 Name:  \n1. Mr. Molesky observes a group of monkeys for 24 hours to learn about their behavior. He records how long they slept (in hours), how many bananas they ate, gender, age (in years), and the specific breed of monkey.  \n(a) What are the individuals in this data set?  \n(b) Identify the variables that were recorded, and indicate whether each one is categorical or quantitative.  \n2. The following bar graph gives the percent of owners of three brands of trucks who are satisfied with their truck. What is wrong with the way information is presented in this graph?  \n3. A research study asked children which of four different emotions they associated with the color red. The response and gender of each child are given in the following table.  \nMale Female  \n\n| J","cbCaioI7M6xLY3fG","https://ap.wps.com/l/cbCaioI7M6xLY3fG","pdf",1070505,"English","# Day 1: Chapter 1 Introduction\n## Identify individuals and variables; classify variables\n# Day 2: 1.1 Bar Graphs and Pie Charts; Two Categorical Variables\n# Day 3: 1.1 Relationships Between Two Categorical Variables\n# Day 4: 1.2 Dotplots, Stemplots, Histograms; Describing Shape\n# Day 5: 1.2 Describing and Comparing Distributions; Using Histograms Wisely\n# Day 6: 1.3 Measuring Center and Variability\n# Day 7: 1.3 Outliers and Boxplots\n# AP Statistics Quiz 1.1\n# AP Statistics Quiz 1.2\n# AP Statistics Quiz 1.3","[{\"question\":\"What topics does Day 1 focus on in the summer packet?\",\"answer\":\"Day 1 focuses on Chapter 1 introduction, including identifying individuals and variables in a data set and classifying variables as categorical or quantitative.\"},{\"question\":\"How do the quizzes assess understanding of graphs and frequencies?\",\"answer\":\"AP Statistics Quiz 1.1 and the daily objectives emphasize interpreting and creating bar graphs, identifying misleading graphical presentations, and computing relative frequencies (marginal, joint, and conditional) from tables.\"},{\"question\":\"What graphing and summary tools are used for quantitative distributions?\",\"answer\":\"The packet uses dotplots, stemplots, histograms, and boxplots, along with descriptions of shape and calculations of center (mean/median) and variability (range, standard deviation, IQR).\"}]","AP Statistics Summer Math Packet - Chapter 1 | PDF",1790770440,23]