Sampling and Bias | Grade 5+ Series | GCSE Maths Tutor

A video revising the techniques and strategies for completing questions on sampling and bias (Higher and Foundation).
This video is part of the Statistics module in GCSE maths, see my other videos below to continue with the series.
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Revision videos:
The Entire GCSE in Only 2 Hours!! Higher and Foundation Revision | GCSE Maths Tutor - • Everything You Need To...
Everything for a Grade 6-9 in your GCSE Maths Exam! Higher Maths Exam Revision | GCSE Maths Tutor - • Everything for a Grade...
All The Topics You NEED To Know For The 9-1 Maths GCSE 2020 (Higher) - • All The Topics You NEE...
More videos in the series:
All of Statistics in 30 minutes!! - • All of Statistics in 3...
Part 1 - Frequency Polygons - • Frequency Polygons | G...
Part 2 - Scatter Graphs - • Scatter Graphs | Grade...
Part 3 - Pie Charts - • Pie Charts | Grade 5+ ...
Part 4 - Cumulative Frequency Graphs - • Box Plots & Cumulative...
Part 5 - Box Plots - • Box Plots & Cumulative...
Part 6 - Reverse Means - • Reverse Means | Grade ...
Part 7 - Averages from a Table - • How to Work Out ALL of...
Part 8 - Histograms - • Histograms - Drawing a...
Part 9 - Sampling and Bias - • Sampling and Bias | Gr...
Part 10 - Capture-Recapture - • Capture and Recapture ...
Part 11 - Averages from a Stem and Leaf Diagram - • Averages from a Stem a...
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🔹 Practice the questions
🔹 Mark your work
🔹 Review everything you have learnt
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[@TheGCSEMathsTutor]

If anyone would like to support the channel you can buy me a coffee here: www.buymeacoffee.com/gcsemathstutor Thank you for all of your support! 😁🙏🏼

[@thiccbunda]

I've finally finished watching 28 hours worth of these math's videos for my mocks over the span of a couple days and omg they are so helpful!

[@north3521]

did u pass

[@kermitthe2408]

Spend ur time more wisely girl

[@prusharasheed2330]

His intro is the only thing keeping me sane😭

[@zara2438]

I love the subtle music in the background it really helps me focus.

[@Waterbots444]

Musics haram bro

[@Rexy2022]

@@Waterbots444 respect bro

[@Somalia2005]

What music

[@Somalia2005]

@@Waterbots444 agree

[@wistfulwriterthingy12]

@@Waterbots444 Not everyone subscribes to your questionable beliefs. Some of us enjoy art, and occasionally life.

[@rishikothakota]

Honestly, this helped me so much... THANK YOU!!!!!

[@amyx523]

thank you for this! i spent ages trying to find a maths video that explains this well and clearly, you nailed it! thanks a lot! xxx

[@TheGCSEMathsTutor]

So glad to hear that! Glad you found my channel, you’ll hopefully be happy to hear that I have done every topic on the GCSE 😁🙏🏼

[@rayyanabubakar9015]

Understood it so well , thanks for the amazing video

[@JJ_TheGreat]

Wow, I thought this video was going to discuss types of sampling methods - like: random, clustering, stacking, etc. and how to calculate sample size! Do you have a video about that? As an internal auditor, I feel it would help me with my samples and sample sizes!
Thanks!

[@JJ_TheGreat]

1:03 Well - 10/30 = 1/3 of the sample, so extrapolating based on this data, there should be: 1/3 x 195 = 65; therefore, I think 65 of the 195 will want to go to the theme park. This is based on the assumption that the people sampled are similar to the people already sampled in the table - and like the same things in the same proportions - but this is the best guess I have!

[@najiyachoudhury2197]

Thank u so much for this😍😍😍

[@TheGCSEMathsTutor]

Najiya Choudhury My pleasure 😁🙏🏼

[@jessacc661]

Stop looking in the comments, do some studying now 😊 👊

[@maellepaih4388]

The second question is on the, November 2019 2F paper

[@JJ_TheGreat]

5:17 The answer is: 238, assuming the sample listed in the chart is representative of the sample.

[@mikaalaftab3737]

Thank u sir

[@aeulia4359]

thanks

[@TheGCSEMathsTutor]

random guy No problem at all 😁🙏🏼

[@anthonybooth7320]

How do you write so well with a mouse

[@haych8726]

He uses a track pad not a mouse

[@Waterbots444]

It’s wasy

[@zepp94]

drawing tablet? that’s what i use anyway

[@JJ_TheGreat]

7:50 400… And the assumptions are exactly the same as before - it assumes that people within the sample represents what the rest wants…