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The portfolio is where you condense your notes to one page. Color code things and make it neat. Make the portfolio something that will be useful to you later. Don’t include formulas that are on the formula Sheet. You should include the interpretations. I would have a section for “How to do this on the Calculator.” There is plain white paper on my desk for you to use and markers and colored pencils on the side table. Get creative! I’m including the major topics that we have done so far. This is due on Monday, Oct. 15. Unit 1:              Analyzing Data Read and make a frequency distribution table Read and make a relative frequency distribution table Categorical Data (Qualitative) – Pie Charts, Bar graphs, Segmented Bar Charts, Comparative Bar Charts Be able to find Marginal Distributions Be able to find Conditional Distributions Quantitative Data – Dotplots, Stemplots, histograms, Boxplots How to describe a quantitative Graph – Center, Shape, Spread Finding outliers Symmetry and skewness Mean and Median and skewness Finding measures of center – mean, median Finding measures of variability – range, standard deviation, variance, Interquartile range Which values are resistant Unit 2 – Modeling Distributions of Data  Measures of position – Quartiles, Percentiles, Z-scores  Using a cumulative relative frequency graph  Transforming data & how the mean, median, and standard deviation are affected  Using a density curve to find the area under the curve.  Using the normal distribution to find probability  Using the normal distribution to find a value when given the probability  Using the empirical Rule  Using a Normal probability plot Unit 3 – Describing Relationships  Be able to draw and describe a scatter plot  Be able to distinguish between an explanatory variable and a response variable.  Know what the correlation coefficient is and how to interpret it.  What affects the correlation coefficient  Be able to find the LSRL  Be able to predict using the LSRL  Be able to find and interpret the slope  Be able to find and interpret the y-intercept  Know what extrapolation is  Know what a residual is and how to find it  Know what the standard deviation of the residuals is and how it is found  Know how to find and interpret the coefficient of determination  Know the what influential points are on a scatter plot  Know what can tell you cause and effect and what does not Unit 4 – Experimental Design  Know the difference between sample and population  Know the types of sampling – SRS, Convenience, Voluntary, Stratified, Cluster, Systematic  Know the types of bias – Selection, Non-response, Measurement/Response  Know the difference between observational study and an experimental study  Understanding confounding and lurking variables  Be able to identify experimental units, factors, treatments, and response variables.  Know the 4 basic principles of experimental design  Know the three different designs – Completely randomized, Randomized Block, and Matched Pairs  Know the difference between Blind and single blind  Know what a placebo is and what a placebo effect is