Chi-Square Analysis Flashcards
Confidence level used for humans
99%
If X2 is higher than f-crit = use
alternative hypothesis
(Non-Mendelian)
establishes connections between variables and datasets
Statistical Analysis
requires F-crit value from reference chi-square table (critical value)
Null Hypothesis (H0) vs. Alternative Hypothesis (HA)
quantitative analysis of differences between data.
Chi-Square Test (Data Fitness Analysis)
comparing difference of data from inheritance ratios
Chi-Square Test (Data Fitness Analysis)
computation of statistical significance between data
Chi-Square Test (Data Fitness Analysis)
expected data vs. observed data
Chi-Square Test (Data Fitness Analysis)
describes and interprets data from an entire sample or population.
Statistical Analysis
T or F
F-crit value is the number of all phenotypes – less one.
True
compares theoretical (predicted) vs. observed data
Statistical Analysis
equal distribution vs. skewed distribution
Chi-Square Test (Data Fitness Analysis)
If X2 is lower than f-crit = use
null hypothesis
(Mendelian)
specify acceptance range (P = 0.05 or P = 0.01)
Null Hypothesis (H0) vs. Alternative Hypothesis (HA)
mendelian pattern of inheritance vs. non-allelic interactions
Chi-Square Test (Data Fitness Analysis)