A level biology STATISTICS help: Student T test. Worked examples,exam questions & critical analysis

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Learn how to and when to use the student T test statistic for A-level Biology, how to write a null hypothesis and conclusion. In this video I go through worked exam questions linked to this exam skill, focussing on what a p value is.
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1 мар 2020

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Комментарии : 36

@mohammadshifathossainkhan3692 2 года назад

Hi Ma'am, your statistics lessons were very much thorough and were so helpful that even people like me native to very far lands are getting benefited from your videos. I wish you and your amazing channel the very best of luck. Thank you, Miss.

@MissEstruchBiology 2 года назад

Thank you,!!!! so glad they help

@michellepearson7913 Год назад

Very helpful!!! Thank you very much for taking the time to explain this. :)

@MissEstruchBiology Год назад

You're so welcome!

@riridagoatt Месяц назад

Hi, on the last question it says that there was a significant increase in mean species richness for habitat A and B but I’m a bit confused because the value for A is negative, so would that not be a decrease?

@mayahughes5214 Год назад

Hi, what do you say when P equals a value? So for a question I’m doing now P=6? Thank you so much, your videos really help me :)

@justineacheson208 2 месяца назад

At 6 minutes, I think there may be a typo when the information from one slide has been copied and pasted and not changed. It reads '[red font] Accept the null hypothesis as the calculated value if more that the critical value' and I think it should read '[red font] Accept the null hypothesis as the calculated value is less than the critical value.' It's the 'less than' part that I'm interested in. What do other people think?

@ayeshamubashra Месяц назад

Yes you are right, I noticed that too!

@lifeofluke7136 3 года назад

hi, great video. At the start you said we do not need to calculate the t value. Is that just for AQA because i thought I had to calculate it in Edexcel B. Thanks

@MissEstruchBiology 3 года назад

Hello Your spec states Candidates may be tested on their ability to select and use: ● the Chi squared test to test the significance of the difference between observed and expected results ● the Student’s t-test ● the correlation coefficient I would have thought it would be the same for all exam boards, in that you have to calculate the stats throughout the course but not in the exam as its too much time on maths. Check with your teacher though.

@lifeofluke7136 3 года назад

@@MissEstruchBiology ok thank you, my teacher says that in the exam they give us the basic formula but we may be asked to calculate it using data in a table for example.

@sophieramshaw8082 2 года назад

do we need to know the difference between a paired and un paired t- test on the exam ? e.g. could we be asked a question on the difference between the two ?

@MissEstruchBiology 2 года назад

I don't think so

@chaosevolution 9 месяцев назад

Thank you!

@MissEstruchBiology 9 месяцев назад

You're welcome 😊

@AG-ql1sy 3 года назад

hi im not trying to be smart here but 8:06, second red line, did you mean to write the word chance instead of change?:)

@MissEstruchBiology 3 года назад

hello. Ah yes. that should say chance!

@jayfleischmann Год назад

If the p value is equal to the critical value is it signficant or not? With chi squared if it is equal then it is classed as significant.

@MissEstruchBiology Год назад

if your calculated value is equal to or greater than the critical value it is significant, but only st a p value of

@iffy_x 3 года назад

hi, why is 0.05 used as the cut off point for most statistical tests

@MissEstruchBiology 3 года назад

Hello, This is because to conclude there is a significant difference/correlation you have to be 95% confident (or less than 5% probability due to chance which is p=0.05)

@solomon7009 2 года назад

@@MissEstruchBiology Is there anything inherently special about this 95% probability, or is it just what has been agreed on within the scientific community?

@ryanepiquegamer1698 Год назад

@@solomon7009 Not sure if you still care but it's to do with the chance of hypothesis tests going wrong. There are Type I errors where a test rejects the null hypothesis even though it was correct and Type II errors where The null hypothesis itself was wrong but still accepted. 5% provides a seemingly perfect balance at getting as small as possible chance of either error occurring. When you decrease the chance of a Type I error the probability of a Type II error increases and vice versa so that is why we don't use miniscule significance levels and why 5% is used most of the time.

@yy4770 3 года назад

in ocr A your required to know how to calculate it btw

@MissEstruchBiology 3 года назад

Good tip 👌

@leahlester2620 4 года назад

Great video! Please could you go through biodiversity a03 questions please

@MissEstruchBiology 4 года назад

Thanks Leah! Do you mean questions where you have to use data to come to a conclusion and evaluate, or the practical skills linked to sampling?

@leahlester2620 4 года назад

@@MissEstruchBiology Conclusion and Evaluate Q

@MissEstruchBiology 4 года назад

Hopefully I'll have something linked to that, focusing on critical analysis, out within the fortnight.

@justin-nx9jz Год назад

do you need to calculate it for ocr?

@MissEstruchBiology Год назад

I don't think so for any exam board as it would be too much maths in a bio paper

@beecheffects4694 2 месяца назад

Is it the same as the standard error test?

@MissEstruchBiology 2 месяца назад

no,that's different (and not of the spec anymore)

@lucysmith7029 4 года назад

In the final question of the video, when you say that habitat C did not show a significant change but habitat A and B did, is this in relation to the student T test or are you saying this because habitat C's change in mean species richness is only +0.12, compared to A and B's habitats of -3.22 and +2.31 respectively?

@MissEstruchBiology 4 года назад

This is in relation to the p value for the T test statistic. You can only conclude a change is significant or not using a p value, not the original mean. If you are given p values, then this is what you should be using, not the mean alone.

@lucysmith7029 4 года назад

@@MissEstruchBiology Thank you for clearing up my confusion!!