Kurs-Code Biol2001
Kreditpunkte 3
Stundenzahl insgesamt (im Auditorium)81
Vorlesungen (Stundenzahl)16
Arbeit im Labor (Stundenzahl)16
Selbststandige Arbeit des Studenten (Stunden)49
Bestätigt am (Datum)16.03.2021
Kurs ausgearbeitet von (Lehrkraft)
Solveiga Luguza
Vorkenntnisse
Mate4014,
Zur einfŅhrenden LektŅre empfohlen
1. Arhipova I., Bāliņa S. Statistika ekonomikā. Risinājumi ar SPSS un MS Excel. Rīga: Datorzinību centrs, 2003. 354 lpp.
2. Krastiņš O., Ciemiņa I. Statistika: mācību grāmata. Rīga: LR Centrālā statistikas pārvalde, 2003. 267 lpp.
3. Sokal, Robert R. Biometry: the principles and practice of statistics in biological research / Robert R. Sokal and F. James Rohlf. 4th ed. New York, NY: W.H. Freeman and Co., 2012. 937 p.
Weiterfuhrende Literatur
1. Johnson R.A., Wichern D.W. Applied Multivariate Statistical Analysis. 6th ed. Upper Saddle River: Pearson Education, Inc., 2007. 773 p.
2. Van Emden, H. F. Statistics for Terrified Biologists / Helmut F. van Emden (The University of Reading, UK). Second edition. Hoboken, NJ: Wiley-Blackwell, 2019. 402 p.
Zur LektŅre vorgeschlagene Zeitschriften
1. Biometrics. Journal of the International Biometric Society. ISSN 1541-0420.
2. The Journal of Modern Applied Statistical Methods (United States). ISSN 1538-9472. 3. Biometrika (United Kingdom. ISSN 1464-3510.