π Π‘ΡΠ°ΡΠΈΡΡΠΈΠΊΠ° ΠΈ ΠΏΠ»Π°Π½ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ° Π΄Π»Ρ Π½Π΅ΠΏΠΎΡΠ²ΡΡΠ΅Π½Π½ΡΡ [2023] Π₯Π΅ΡΡΠΎΠ³ Π. Π₯., Π€ΡΠ΅Π½ΡΠΈΡ Π., ΠΠ»Π°ΡΠΊ Π.
ΠΠ΅ΠΏΠΎΠ½ΠΈΠΌΠ°Π½ΠΈΠ΅ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ β Π²Π°ΠΆΠ½Π°Ρ ΠΏΡΠΎΠ±Π»Π΅ΠΌΠ° Π² Π½Π°ΡΠ΅ΠΌ ΠΎΠ±ΡΠ΅ΡΡΠ²Π΅. ΠΠ»Π°Π³ΠΎΠ΄Π°ΡΡ ΠΊΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½ΡΠΌ ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠΌ ΡΠΎΠ±ΠΈΡΠ°ΡΡ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π΄Π°Π½Π½ΡΠ΅ ΡΡΠ°Π»ΠΎ ΠΏΡΠΎΡΠ΅, Π½ΠΎ Π³Π»Π°Π²Π½ΡΡ Π·Π°Π΄Π°ΡΡ β ΠΏΡΠ°Π²ΠΈΠ»ΡΠ½ΠΎ ΠΎΠ±ΡΠ°Π±ΠΎΡΠ°ΡΡ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ β ΠΏΠΎ-ΠΏΡΠ΅ΠΆΠ½Π΅ΠΌΡ Π±Π΅ΡΠ΅Ρ Π½Π° ΡΠ΅Π±Ρ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊ. ΠΠ· ΡΡΠΎΠΉ ΠΊΠ½ΠΈΠ³ΠΈ Π²Ρ ΡΠ·Π½Π°Π΅ΡΠ΅, ΠΊΠ°ΠΊ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡ ΠΈ ΠΈΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠΈΡΠΎΠ²Π°ΡΡ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΡ ΠΈ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π΄Π°Π½Π½ΡΠ΅ Π² ΡΠ°Π·Π»ΠΈΡΠ½ΠΎΠΌ ΠΎΠΊΡΡΠΆΠ΅Π½ΠΈΠΈ.
Π‘ΡΠ΅Π΄ΠΈ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΠΌΡΡ ΡΠ΅ΠΌ:
βͺοΈ ΠΎΡΠ½ΠΎΠ²Π½ΡΠ΅ ΠΏΠΎΠ½ΡΡΠΈΡ ΠΈ ΠΏΡΠΈΠ½ΡΠΈΠΏΡ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ;
βͺοΈ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½Π½ΡΠ΅ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΊΡΠΈΡΠ΅ΡΠΈΠΈ;
βͺοΈ ΠΌΠ½ΠΎΠΆΠ΅ΡΡΠ²Π΅Π½Π½Π°Ρ ΠΏΡΠΎΠ²Π΅ΡΠΊΠ° Π³ΠΈΠΏΠΎΡΠ΅Π·;
βͺοΈ ΠΏΠ»Π°Π½ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°;
βͺοΈ ΠΌΠ΅ΡΠ°ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠ° (ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ).
ΠΠ·Π΄Π°Π½ΠΈΠ΅ ΠΏΡΠΈΠ³ΠΎΠ΄ΠΈΡΡΡ ΡΠ΅ΠΌ, ΠΊΡΠΎ Ρ ΠΎΡΠ΅Ρ ΠΏΠΎΠ½ΡΡΡ ΠΏΡΠΈΠ½ΡΠΈΠΏΡ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ ΠΈ Π½Π°ΡΡΠΈΡΡΡΡ ΠΈΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠΈΡΠΎΠ²Π°ΡΡ Π΅Π΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ, Π½Π΅ Π²Π΄Π°Π²Π°ΡΡΡ Π² ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π΄Π΅ΡΠ°Π»ΠΈ Π²ΡΡΠΈΡΠ»Π΅Π½ΠΈΠΉ. ΠΠ»Ρ ΠΈΠ·ΡΡΠ΅Π½ΠΈΡ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»Π° ΡΡΠ΅Π±ΡΠ΅ΡΡΡ ΠΌΠΈΠ½ΠΈΠΌΠ°Π»ΡΠ½ΡΠΉ ΡΡΠΎΠ²Π΅Π½Ρ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΠΎΠ΄Π³ΠΎΡΠΎΠ²ΠΊΠΈ.
π Understanding Statistics And Experimental Design: How To Not Lie With Statistics [2019] Michael H. Herzog, Gregory Francis, Aaron Clarke
This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets. #ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠ° #ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΠΊΠ° #math