Sampling, Estimation, Numerical Solutions to equations and Differential Equations CT Flashcards
Target population and sampling frame
Definition of each
Population being investigated and for what
Who is being investigated
Rows and columns
Rows (horizontal)
Columns (veritcal)
Rows are horizontal like how rowers hold their paddles horizontally
Central limit theorem
Distributions of the total
T = X1 + X2 + … + Xn
E(T) = nµ
Var(T) = nσ²
Sd(T) = √n σ
X1 + X2 ≠ 2X , sum of 2 random variables which can have different values, 2X is the outcome of one trial multiplied by 2
Distribution of the sample mean x̄
E(x̄) = µ
Var(x̄) = σ²/n
if n>30
Types of sampling (5)
- Small sample from a homogenous population
- Simple random sampling (whole population available for survey)
- Systematic sampling (pattern of choice to choose population that is sampled)
- Cluster sampling (break down a large population into geographical or other groups)
- Stratified sampling (seperating a population into mutually exclusive sub-groups [weighting] eg. yr 9, yr 10, yr 11)
Unbiassed estimated of mean
given in formula sheet
1/n-1 Σ(x - x̄)²
further simplification of formula not provided in booklet
Confidence interval
example
If the mean from a sample size n from a normally distributed population is x̄, it is fairly simple to show that in 95% of all cases, the population mean µ lies in the interval
( x̄ - 1.96(σ/√n) < µ < x̄ + 1.96(σ/√n) )
Different levels of confidence
100(1 - α)%
φ(z) = 1 - 1/2(α)
Confidence intervals for proportions
E(p̄) = p
Var(p̄) = pq/n
Sd(p̄) = √pq/n
for binomial np>5 and nq>5
Sign change rule
the real root or solution for an equation lies between a sign change
Finding roots by iteration
- Rearrange equation to have smallest modulus of the gradient
- If gradient is negative the terms will be alternately above and below the root
- If the gradient is positive the terms will approach the root steadily from one side
Separating variables for differential equations
∫1/x dx = ln|x|+ c or ln|kx|
multiply dx on one side and divide by the y term on the other side
Newton’s law of cooling
dT/dt = -k(T - T₀)
T is the temperature
t is the time
T₀ is the surrounding temperature