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Review Exam 1 (Chapter 1-5, 8, 9,10)/Math 1680/Ms. Stonebraker Study: Quizzes, notes, worksheets, and reread through the book. If you have time, work through problems in the book again… Chapter 1 (Controlled Experiments): Be able to: o Define and specifically discuss the importance of the following: Controlled experiment Control group Treatment group Double-blind experiment Blind experiment Randomized study Confounding factors Self-selected study o Look at a study and analyze what is right and wrong in regards to its construction. o Answer why is it better to compare rates rather than sizes It is a great idea to look over Quiz 1 and your reading assignment for this chapter. Chapter 2 (Observational Studies): Be able to: o Discuss random versus observational studies o Discuss and recognize Simpson’s paradox o Give example of why association does not necessarily imply causation. See Section 3 in this chapter o Discuss the difference between adherers and non-adherers Chapter 3 (Histograms); Be able to: o Create a histogram Vertical scale is density which is % per horizontal unit o Create a boxplot (also know as a box-and-whiskers plot) o Read a histogram o Recognize a bad histogram o Discuss and recognize the difference between Qualitative and quantitative Continuous and discrete Density (vertical scale) = percentage / (width of interval) Chapter 4 (Average and Standard Deviation): Be able to: o Discuss why standard deviation cannot be negative. o Do word problems associated with averages o Give an example where the standard deviation is 0 Remember: There is an additional question and answer time on Tuesday night March 1st from 7-9:30pm in GAB 318. Make good use of this time. I will be there regardless if eighty people come or none shows. o Give an example where the mean and median are not equal. Specifically: Mean > median Mean < median o Discuss skewedness If skewed right, the mean is larger than the median. Where are the outliers? What does the graph look like? Likewise with skewed left… o Discuss when the mean is equal to the median. When is it not? o Define and/or find the following: Median Mean Q1 – 25th percentile Q2 – 50th percentile Q3 – 75th percentile IQR = Q3 - Q1 Standard deviation RMS Outliers o Recognize what happens to the standard deviation and mean when: A number is added to each pieces A non-negative number is multiplied by each pieces A negative number is multiplied by each pieces x x2 ... xn Ave(X) = x 1 n SD = ( x1 x ) 2 ... ( x n x ) 2 n Chapter 5 (The Normal Curve): This chapter is very important and I would make sure I was very comfortable with what lies within it. Be able to: o Find a value’s z-score o Find a z-score’s original value o Find the percentage above, below, between z-value(s) o Find a data piece associated with a percentage o Find a percentage associated with a data piece o Recall that percentage is cumulative o Find two data pieces for which there is a certain percentage between those values when it is centered at the mean o Make use of a z-chart z x SU x xx SD Chapter 8(Correlation) / Chapter 9 (More about Correlation): Be able to: Remember: There is an additional question and answer time on Tuesday night March 1st from 7-9:30pm in GAB 318. Make good use of this time. I will be there regardless if eighty people come or none shows. o Find the correlation coefficient o Recognize what does not effect the correlation coefficient Interchanging the two variables Adding the same number to all the values of one variable Multiplying all the values of one variable by the same positive number o Know what is means for two things to have a positive or negative correlation. o Give and example of something with positive (negative) correlation o Distinguish if one thing has a stronger correlation then another o Recognize a graph with a certain mean, standard deviation, and correlation coefficient o Recall that r can only be a number between 1 and –1 o Give and graph the equation of a standard deviation line given the mean, standard deviation, and correlation coefficient o Know what it means for something to have a certain correlation coefficient. For example: r = .08, weak positive correlation r = -.95, strong negative correlation r Ave( z x * z y ) SD line equation SD(Y ) x Ave( X ) Ave(Y ) o y SD( X ) SD(Y ) o Contains the point (Ave(X), Ave (Y)), and has slope of m = SD( X ) Chapter 10 (Regression): Be able to: o Give the equation of the regression line o Graph the equation of the regression line o Discuss the difference and similarities between the regression and standard deviation line. What point do they have in common? How do their slopes differ? What does each of the lines try to fit? o Recognize regression effect and fallacy o Predict a dependent variable given nothing about the independent variable o Predict a dependent variable given the correlation coefficient between the two variable Regression Line: SD(Y ) x Ave( X ) Ave(Y ) o y r SD ( X ) SD(Y ) o Contains the point (Ave(X), Ave (Y)), and has slope of m = r SD ( X ) Remember: There is an additional question and answer time on Tuesday night March 1st from 7-9:30pm in GAB 318. Make good use of this time. I will be there regardless if eighty people come or none shows.