Maths and Stats Flashcards
log10(1) =
0
log10(10) =
1
log10(100) =
2
log10(1000) =
3
Differentiation equation and correspondence
dy/dx
Rate slope is changing
Ie steep is fast, lowest point on curve = rate 0
Integration equation and corresponds to
y = f(x)dx
Area under curve
Variance equation
npq
sum of (x-mean2)/n-1
SD equation
Square root of variance
Are the mean and variance dependant or independent parameters
Independent
Standard error of mean equation
SD of means of multiple samples
SD/ square root of n
What is the null hypothesis
That there is no difference
If confidence limit includes 0 then can’t reject null hypothesis
What is a type 1 (alpha) error
False positive (p value same as alpha)
What is a type 2 (beta) error
False negative
What is the p value
Probability of getting the observed value or more extreme when the null is true
ie p = 0.01 = 1/100 chance
Calculate power
1 - B error
How to increase power of study (3)
- Large sample size
- Low SD
- Parametric tests
Sensitivity
TP / TP + FN x 100
Specificity
TN / TN + FP x 100
PPV
TP / TP + FP x 100
Likelihood ratio equation
sensitivity / (1 - specificity)
y axis x axis
Range of correlation coefficient (r)
0 to (+/-)1 where 0 is no correlation and 1 is fully positive or negative correlation
NPV
TN / TN + FN x 100
What is r squared
Coefficient of determination
r=0.8, r squared=0.64 = 64% variability in y can be attributed to x
What is least squares regression
Finding mean of x and y and finding line of best fit from this