gr9_dataanalysis

Statistics and Probability (Data Analysis)

//It is expected that students will://
 * **Prescribed Learning Outcomes**

D1. Describe the effect of: bias, use of language, ethics, cost, time and timing, privacy, and cultural sensitivity on the collection of data [C, CN, R, T] D2. Select and defend the choice of using either a population or a sample of a population to answer a question [C, CN, PS, R] D3. Develop and implement a project plan for the collection, display, and analysis of data by: || representations and would identify examples of this e.g. internet surveys, Stats Can info for a variety of good and bad purposes - elements such as bias, use of language, ethics, cost, time and timing, privacy, cultural sensitivity, population vs. sample population and evaluate it's validity in terms of the vocabulary above a population sample or population will be used bias, use of language, ethics, cost, time and timing, privacy, cultural sensitivity, population vs. sample population and answer questions like: Can you make generalizations from your survey - why or why not? || * Formative Assessment: (Vocabulary) Accurately define and provide examples of the vocabulary. Criteria - correctly define and provide examples from the Internet of bias, use of language, ethics, cost, time and timing, privacy, cultural sensitivity, population vs. sample population
 * formulating a question for investigation
 * choosing a data collection method that includes social considerations
 * selecting a population or a sample
 * collecting the data
 * display the collected data in an appropriate manner
 * drawing conclusions to answer the question
 * [C, PS, T, V] ||
 * **Planning for Assessment** || **Assessment Strategies**
 * Students will:
 * Be aware that our world is full of statistics and statistical
 * Be aware that these statistics are used by a variety of people
 * Be able to prepare and gather a set of their own statistical data
 * Clearly identify a problem to solve
 * Define strategies to collect data - including identifying whether
 * Enter the data correctly and accurately into a spreadsheet
 * Chart the data
 * Make generalizations and interpretations from the data
 * Identify, if any, of the following elements are present in the data:
 * Summative Assessment: (Vocabulary) Students are able to identify the concepts/use of: bias, use of language, ethics, cost, time and timing, privacy, cultural sensitivity, population vs. sample population in senarios created by the teacher. Examples of type of senario are: __Senario 1__: (Students can analyze for: bias, ethics, time and timing, population vs. sample population) School Newspaper Headline reads: Kids Say Math is Their Favourite Subject! Recently the principal announced that 99% of students polled in a recent survey indicated that they "loved math". Students are then provided with details of the survey: The survey was conducted at 5 pm in the school detention room. Students received an ice cream cone for their participation from the principal (who also teaches a block of math). Prior to the survey the principal informed the participants that she was requesting the Board approve a grant for more money for new Math texts, to be used in the after school math program. Students were asked to choose their favourite subject from the following: anthropology, trigonometry, and math. __Senario 2__: (Students can analyze for use of language, cultural sensitivity, bias) New immigrants to Canada are required to complete a survey regarding their first year in Canada. The survey is written in English and includes both multiple choice and written response questions. Class discussion can address questions such as: Data validity - how valid is the data if the participants can't read/write in English? How can the survey better address cultural sensitivity? Can other methods of collecting data better reflect immigrant experiences - e.g. interviews conducted in native languages?
 * Formative Assessment: (Questions) What kinds of questions should the public be asking around statistics and issues related to bias, use of language, ethics, cost, time and timing, privacy, cultural sensitivity, population vs. sample population. Criteria - identify questions like: What was the size of the sample or how many people were surveyed? What was the makeup of the sample - were all people consulted? ||