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Infection and response
Organisation
Cell biology
Biological molecules
Homeostasis and response
Responding to change (a2 only)
Energy transfers (a2 only)
The control of gene expression (a-level only)
Substance exchange
Bioenergetics
Genetic information & variation
Inheritance, variation and evolution
Genetics & ecosystems (a2 only)
Ecology
Cells
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1f industrialisation and the people: britain, c1783-1885
1c the tudors: england, 1485-1603
Britain & the wider world: 1745 -1901
Inter-war germany
World war one
2n revolution and dictatorship: russia, 1917-1953
World war two & the holocaust
1l the quest for political stability: germany, 1871-1991
The cold war
2j america: a nation divided, c1845-1877
Medieval period: 1066 -1509
The fight for female suffrage
2m wars and welfare: britain in transition, 1906-1957
2d religious conflict and the church in england, c1529-c1570
Britain: 1509 -1745
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01/11/2022
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YEAR 12 STATISTICS ΝΟΤΕΒΟΟΚ and the given line b Eliminating y from (mx + c)² - 4ax This equation is q in arabola two >>,=, < 0 4(mc 2a)² 4a² 4amc a>, AC 13.12.21 census random sampling non-random Quota Systematic Stratified Samples Simple random opportunity ▾ a population is Simple - a census Systematic - a Sample TYPES OF SAMPLING Stratified G VARIABLES 0 random . 0 0 the variable associated -variables associated Quota Sampling opportunity Sampling variable a variable that • Simple, - entire set of items easy a measure of every Selection Sampling Sampling: Sampling that : can gives completely fewer people free of bias, : with : suitable tahe I can only take advantages any SAMPLES - POPUATIONS from the - everyone is the with numerical to carry out, ie CA eg representivite of groups. no sampling a and that are items are non- numerical population Samples member of number every 6th taking a population to represent value Sample is fit the to are population data data chosen is being inexpensive specific values: : accurate results so less data process cheap + easy to for large is a population taken population has equal chosen at random Sample measured person divided is populations regular selected accurate frame needed, representitive. at criteria is from Continuous discreet chosen into the population an random split up into boys. intervals you are data people quantitive variables qualititive variables bet: data 0 0 . O from a 100 people from groups (strata) to 0 as a CH und that reflects the characteristics of the who happen looking for Can chance of being picked (random number goncruter or whole Can 。 have to be chosen girls time number accurate unlikely to be large divided introduce list for a disadvantages time consuming and expensive. not as not good for introduce to be Sample reflect overall population, census is more accurate but harder as bias a bias representitive drawn from a hat) of boys and girls to complete no Size available at whole census still of 20 populations, sample frame needed. Sampling Simple random is and then population the time frame used 5.1. 22 The large Lo data daily daily THE VARIABLES the 45 It runs Set is weather rainfall Total daily sunshine mean wind speed mean temperature - °C, average - measured - measured sample from - marimum relative humidity- daily mean cloud cover mean visibility -daily daily mean pressure un stations north to Leuchars Leeming Heathrow Hurn based on S un 1987 to Camborne measured as a South : LO in in 7. to measured greatest measured weather weather stations 2015 of hnots of mm, the nearest Calm, light, air data and hourly temps anything as in the Saturation and in 18 horizontal distance of the ¼/10 Southern over will be of 3 moderate, fresh Shy at over seus 24 hrs 0.05 mm of an average over water which hectopascals (hPa) covered provided by edexcel. northern hemisphere hemisphere is weather 'trace' hour 24 hrs. vapour. by an object cloud CH 1-5 Sutions Categorised to the -...
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MUTUALLY EXCLUSIVE P(AUB) P(ANB) on the probability of P(A) + P(B) = P(A) = P(B) B A'U B A'n B EVENTS CH 5.1 5.2 A ∞ e I CH S-3 B OO 4.5.22 9.5.22 for a random variable; if Lo so a probability distribution describes you are if all of the probabilites of an out come لا eg. if P(x 3) = 0.1 P(x-x) in order Lo ΣP(x-a)=1 to AC given P(x=r) Lo this 1 to to find find find do a and 2 0.1 the distribution is written in the 3 P(x+2) p(xse) P ( X = 2) the all P(x = -1) form PROBABILITY DISTRIBUTIONS (Sum of all possible values adds up to 1) P(x+r) P(x = -1) then: use possible outcomes of a sample are equal, this is a binomial distribution you need four things: must be a fixed number of brials (n) - there must be two possible out comes Success or failure) - there must be (P) a fixed probability of the trials must be independent from each usc probability of x and BINOMIAL Success X-B (np) the Binomial PD USC the Binomial Со 1- P(X2) the probality of the lower value of usind discrete uniform distribution Selting on Selling the the Binomial CO Calculator Selting OL are CH 6.1 equal CH 6.2 16.5.22 an null hypothesis 4 alternative hypothesis = the one you assume to the parameter alternative hypothesis pe or ... an alternative hypotheisis P... is HYPOTHESIS TESTING be correct the assumption that is a one-tailed two Lp test tailed test H₂ incorrect either and or the values CH 7.1