Final Exam Review I: Unit 1 (2-variable data) & Unit 2 (statistical literacy)
Key Concepts I can identify one and two variable data I can construct scatter plots, by correctly identifying independent and dependent variables, and use them to identify relationships between variables (weak/strong, positive/negative, correlation vs causation) I can draw a line of best fit and calculating equation of line (y = mx + b), and use the line makes predictions based on interpolation/extrapolation I can use the graphing calculators to graph a linear, quadratic, or exponential relation I can use appropriate statistical terms such as mean, median, mode, quartile, and percentile and analyze data with these calculations I can use an index to calculate percent rate of increase or decrease and make predictions about future trends; I can identify the ‘base value’ and explain how other values in the index relate to the base value I can analyze the validity of data in the media and identify possible sources of bias
Practice Problem 1 Sketch each graph below and describe the correlations depicted
Practice Problem 2 The 2006 USB Prices and Earnings compares the cost of a basket of food in various cities around the world. a)To which city are all other values compared? b)How do prices in Oslo and Delhi compare to food prices in New York? c)Name a pair of cities that have comparable food prices CityFood Price Index Zurich115.6 Oslo112.1 Dublin86.6 New York100.0 Copenhagen99.5 Toronto80.8 Tokyo130.3 Rome87.8 Hong Kong86.6 Delhi35.1
Practice Problem 3 The Body Mass Index (BMI) relates a person’s weight and height. A clinician gathered age and BMI data for a group of people aged 8 to 17 years Identify the independent and dependent variables Does the table show 1-variable or 2-variable data?
Practice Problem 3(cont) Graph the data and identify an outliers if they occur Sketch the line of best fit and determine its equation Use your equation to estimate the BMI of a person aged 19. Did you use interpolation or extrapolation?
Practice Problem 3(cont) Describe any correlation you see between the variables What conclusions could you make based on this data Is there anything about the study that may make your conclusions biased?