Hey guys, so here are the notes I've written for A2 Biology 2016 papers 4 and 5. There are parts where I've written in pencil so it's fairly hard to read, or other places where I've condensed the words too much with symbols, so it probably isn't easy for other people to understand. But if this poses useful to you any bit at all, I'd be happy to share it :) Click HERE to download.

Hi thank you so much for this!!! Download AS notes as well!! Really helps for revisions Would have been much better if notes written in pencil were more bold

"In statistics, a null hypothesis is what you expect to happen before you run an experiment. The idea is that if the results don't reject the null hypothesis, then you aren't finding anything new or surprising. The most common null hypothesis is the "no-change" or "no-difference" hypothesis. For example, if you're testing whether a thing works, and starting with the null hypothesis that it won't work. The term was first used by Ronald Fisher in his book The design of experiments.[1] Every experiment has a null hypothesis. If you do an experiment to see if a medicine works, the null hypothesis is that it doesn't work. If you do an experiment to see if people like chocolate or vanilla ice cream better, the null hypothesis is that people like them equally. If you do an experiment to see if either boys or girls can play piano better, the null hypothesis is that boys and girls are equally good at playing the piano. The opposite of a null hypothesis is an alternative hypothesis. Some examples of alternative hypotheses are: This medicine makes people healthier. People like chocolate ice cream better than vanilla. Girls are better at playing the piano than boys." Simple English Wikipedia

thank you very much for this!! i really appreciate your notes!

ReplyDeletehi ;)

ReplyDeleteAyye {;

DeleteThanks! this helps :)

ReplyDeleteCan you please upload chemistry paper 5 notes

ReplyDeletethank you so much for this

ReplyDeleteHi thank you so much for this!!! Download AS notes as well!! Really helps for revisions

ReplyDeleteWould have been much better if notes written in pencil were more bold

IS THIS 2017 SYLLABUS NOTES

ReplyDeleteIt's for the 2016-2018 syllabus - so yes! It is for the 2017 syllabus too!

DeleteHello, what exam board are you following?

ReplyDeleteCIE

Deletethanks a lot honey this helped me a lot

ReplyDeletelots and lots of love

eeaaahhh! much appreciated ya'll

ReplyDeleteI cant find the pages about insulin

ReplyDeleteTHANK YOU BABE

ReplyDeleteCan anybody give an easy definition for *Null Hypothesis* please

ReplyDelete"In statistics, a null hypothesis is what you expect to happen before you run an experiment. The idea is that if the results don't reject the null hypothesis, then you aren't finding anything new or surprising. The most common null hypothesis is the "no-change" or "no-difference" hypothesis. For example, if you're testing whether a thing works, and starting with the null hypothesis that it won't work. The term was first used by Ronald Fisher in his book The design of experiments.[1]

ReplyDeleteEvery experiment has a null hypothesis.

If you do an experiment to see if a medicine works, the null hypothesis is that it doesn't work.

If you do an experiment to see if people like chocolate or vanilla ice cream better, the null hypothesis is that people like them equally.

If you do an experiment to see if either boys or girls can play piano better, the null hypothesis is that boys and girls are equally good at playing the piano.

The opposite of a null hypothesis is an alternative hypothesis. Some examples of alternative hypotheses are:

This medicine makes people healthier.

People like chocolate ice cream better than vanilla.

Girls are better at playing the piano than boys."

Simple English Wikipedia