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 Wednesday, Oct. 15.
Unit 2:
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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 3 – 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 4 – 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 1 – 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