Statistics for archeologists

Semesters

  • spring 2014; spring 2016; spring 2018

Objectives

At the end of this course, the student will be able to:

  • understand the basic statistical terms
  • calculate and interpret the values of the central tendency
  • create the basic graphs and interpret them
  • interpret distributions of variables
  • calculate and interpret the amount of correlation between variables
  • calculate the linear regression model and – on its basis – to predict values
  • define the null and the alternative hypothesis
  • understand the probability distribution, the meaning of statistical significance and the basics of the inferential statistics
  • use the basic parametrical tests (t-test for independent and dependent samples, t-test for correlation coefficients, and the analysis of variance)
  • understand the basic data treatment in MS Excel, PAST and StatSoft Statistika

Planning

  • 1. The basic statistical terms.
  • 2. Types of variables.
  • 3. Descriptive and inferential statistics.
  • 4. Descriptive statistics (frequency tables, graphs, characteristics of the central tendency, characteristics of the variability, distribution).
  • 5. Correlation.
  • 6. Linear regression.
  • 7. The probability distribution.
  • 8. Hypotheses and their testing.
  • 9. One-dimensional statistical parametric tests (t-test for independent and dependent samples, t-test for correlation coefficients, ANOVA).

Materials

Literature Basics

  • Bertrand, F., Maumy-Bertrand, M. 2011: Statistique pour les scientifiques. Dunod, 220 p.
  • Calda, E., Dupáč, V. 1993: Matematika pro gymnázia. Kombinatorika, pravděpodobnost, statistika. Prometheus, 170 p.
  • Hebák, P. a kol. 2013: Statistické myšlení a nástroje analýzy dat. Informatorium, Praha, 877 p.
  • Hendl, J. 2009: Přehled statistických metod. Analýza a metaanalýza dat. Portál, Praha, 695 p.
  • Marek, L. a kol. 2013: Statistika v příkladech. Professional Publishing, Příbram, 404 p.
  • Meloun, M., Militký, J. 2004: Statistická analýza experimentálních dat. Academia, Praha, 953 p.
  • Meloun, M., Militký, J., Hill, M. 2005: Počítačová analýza vícerozměrných dat v příkladech. Academia, Praha, 450 p.

Literature – Statistics in archaeology

  • Baxter, M. 1994: Exploratory Multivariate Analysis in Archaeology. Edinburgh University Press, Edinburgh.
  • Baxter, M. 2003: Statistics in Archaeology. Wiley-Blackwell.
  • Drennan, R.D. 2009: Statistics for Archaeologists. A Common Sense Approach. Springer.
  • Fletcher, M., Lock, G. R. 2005: Digging Numbers: Elementary Statistics for Archaeologists. Oxford University Comittee for Archaeology, Oxford.
  • Orton, C. 1982: Mathematics in Archaology. Cambridge University Press., Cambridge.
  • Orton, C. 2000: Sampling in Archaeology. Cambridge University Press.
  • Shennan, S. 1997: Quantifying Archaeology. Edinburgh University Press, Edinburgh.