Math 1203: Statistics for Social Science

Course Description: Applications of statistics in the social sciences. Analysis and interpretation of statistical models. Sampling techniques, common flaws and errors in sampling and in using statistics. Descriptive statistics, levels of measurement, measures of central tendency and dispersion. Contingency tables and measures of association for categorical variables. Correlation and linear regression. Probability and frequency distributions. Parametric and non-parametric inferential statistics. Confidence intervals and hypothesis testing. 3 credits.

Who takes this course: This course is for students majoring in sociology, political science, social work, social and behavioral sciences, criminal justice, diplomacy, or anthropology. However, it is open to anyone interested in an introductory statistics course. This course satisfies part C of the “core curriculum” of the School of Arts and Sciences.

Note: You will need the Dyknow software installed on our laptop.

Free Drop-in Tutoring

• The ARC offers fee drop-in tutoring -> click for schedule

NOTE: The Final Exam will be on December 20, Period 2, or December 16, Period 3 (your choice)

• Syllabus

StatCrunch Assignments

• Assignment 2
  (with normtemp.xls data set)
    
• Assignment 1
  

• Exam Final Practice
   
• Exam 3 Practice
  (with answers)
• Exam 2 Practice
  (with answers)
• Exam 1 Practice

Notes and Resources

• Dyknow
• eBook: Stats Methods by Agresti
• StatCrunch
  • videos
  •  manual
• GSS 2008 Data Set

Assignments

• Exam Final Practice
  
• 49 students in a class at the University of Florida made blinded evaluations of pairs of cola drinks. For the 49 comparisons of Coke and Pepsi, Coke was preferred 29 times. (a) Define a "success" as preferring Coke. Find a 95% confidence interval for the prob. of success Pi (b) In the population that this sample represents, is the above sample strong evidence that a majority prefers one of the drinks? In other words, conduct a test with null hypothesis Pi = 0.5.
  
• Exam 3 Practice (with answers)
• Complete this take-home quiz by Mon, 11/28 (pdf)
• Do problems 1, 2, 4, and 5 from this worksheet
• Complete these questions on Testing about a Mean
• Complete this Exam 2 Practice
• Complete confidence interval worksheet
• Optional Quiz on z-scores and normal distribution
• Complete this worksheet on z-scores
• Complete this worksheet on probabilities
• Complete these questions and
  finish this computer assignment and
  also this take-home quiz
  
• Page 247: 8.2, 8.11 (a-c, use our GS data), and 8.14 a,b
  Also do these questions
• Do this worksheet and these questions     
• Work through Exam 1 Practice
• Finish this worksheet and this one and this one
  Page 64: 3.19, 3.20, 3.21, 3.22, 3.26, 3.32, 3.34(b), 3.35, 3.38, 3.41, 3.56 (think about it only), 3.73 
• Page 63: 3.14, 3.15
  Page 69: 3.63, 3.66(a), 3.67, 3.69, 3.71
  Finish this worksheet
  In the lecture notes on panel 7 you find a frequency table for the ordinal variable INCOME. Find the median category.
  Which measure of central tendency is less susceptible to extreme outlers, the meduan or the mean. Explain.
  Use StatCrunch to find the mean, medan, and mode for AGE and HOURS PER DAY WATCHING TV
  Use StatCrunch to create a histogram for AGE and HOURS PER DAY WATCHING TV. Are they normal or skewed?
  For HOURS PER DAY WATCHING TV the mean is larger than the median. Explain.
• Page 62: 3.7, 3.8, 3.9, 3.19 (mean, median, mode only)
• Page 25: 2.1, 2.2, 2.7, 2.14, 2.16, 2.27
  Page 61: 3.1 (a and c), 3.4 (a), 3.11 (a-use our GSS survey for this
  Use our GSS survey data and StatCrunch to determine (a) how many US adults in 2008 were white, approximately, and (b) how many US adults in 2008 took either one or two years of Algebra in HS
• Install Dyknow
  Setup StatCrunch

Lectures

• 20 - Proportions (pdf)
   
• 19 - Exam 3 Review (pdf)
• 18 - Difference of Means (pdf)
• 17 - Small Sample Testing (pdf)
• 16 - Hypothesis Testing (pdf)
• 14 - More Confidence Intervals (pdf)
• 13 - Confidence Intervals (pdf)
• 12 - Normal Distribution (pdf)
• 11 - Probabilities (pdf)
• 10 - Linear Regression (pdf)
• 09 - Chi-Square test (pdf)
• 08 - Contingency Tables (pdf)
• 07 - Empirical Rule, Review (pdf)
  
• 06 - Box Plot, Quartiles (pdf)
• 05 - Variance (pdf)
• 04 - Histograms, skewed and normal distr. (pdf)
• 03 - Mean, median, mode (pdf)
• 02 - Freq Distribution (pdf)
• 01 - Intro, Terminology (pdf)