Erstellt von robyngminshall
vor mehr als 10 Jahre
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Frage | Antworten |
what is the mean | add all the data up and divide by total |
what is the median? | middle value in a data set |
what is the mode? | most common data |
how do you work out the coefficient of variance? | standard deviation x 100/Mean |
Name 4 different types of data collection | Sampling-randon/non random Observations Surveys-interview/questionnaire |
Name 3 different types of loans and morgages | 1) interest only 2) repayment 3) endowment |
what is the formula for APR | APR= (1+r/n)n-1 |
what is the Repayment loan formula | L=(1+r)t/ ((1+r)t-1+(1+r)2+(1+r)1-1) |
How do you work out MAD? | 1)find mean 2) subtract mean from data 3)take away the signs 4) add up all data and divide by total number in data set |
mean deviation | always equals ZERO |
name 5 types of graphs | pie, bar, histogram, ogive, scattergraph |
what is the relative frequency | each frequency/total frequency (same as probability) |
what is the compound growth formula? | FV=PV(1+r)t |
discounting formula | FV/(1+r)t |
Discounting rate formula | r=(FV/PV)1/t-1 |
Straight line depreciation | (cost/residual)-useful life |
reduce balance depreciation | FV=(1-r)t |
simple growth formula | FV=(1+tr) |
Compound growth formula | FV=(1+r)t |
Continuos growth formula | PVe cy |
Multiple compound growth | PV(1+i/c)cy |
Simple Index | Pin/Po x 100 |
weighted index | Pin/Po x Weights |
RPI | Weighted price index/weights x 100 |
what is skewed distribution | when mean, mode and median don't match |
what is symmetrical distribution | when all central tendencies match |
what is the roster notation | all the stets in a Venn diagram set out....S=x1,x2,x3..) |
What is a set-builder | defines sets and is used in cases of large data...S=x:is a dog breeds) |
what is objective probability? | before logical reasoning |
what is subjective probability | from personal opinion |
what does mutually exclusive mean? | that two events can't happen together |
what is relative variability the same as? | coefficient of variance |
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