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Скачать или смотреть Histograms exam question (AS Edexcel Stats 2023 Q1, Q2)

  • Lee Guffick
  • 2025-10-10
  • 3
Histograms exam question (AS Edexcel Stats 2023 Q1, Q2)
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Описание к видео Histograms exam question (AS Edexcel Stats 2023 Q1, Q2)

In this video, Lee Guffick walks through Questions 1 and 2 from the AS Edexcel Statistics 2023 paper, beginning with a classic histogram question before exploring standard deviation, correlation, and the large data set.

You’ll learn how to:
✅ Estimate the mean and standard deviation from a histogram using
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✅ Understand the link between histograms and frequency polygons
✅ Interpret how a shift in the mean affects (or doesn’t affect!) the standard deviation
✅ Analyse correlation between pressure and temperature in Beijing using the large data set (LDS)
✅ Recognise why you can’t compare qualitative data like Beaufort wind scale with quantitative data such as temperature

This video is perfect for AS Edexcel students revising the Statistics component — especially those aiming for secure A/A* understanding of graphical data, summary statistics, and interpretation.

⏱️ TIMESTAMPS:
0:00 – Introduction
0:12 – Understanding histograms & frequency polygons
1:00 – Finding mean from grouped data
3:00 – Calculating the standard deviation
7:00 – Interpreting the impact of faulty scales
8:30 – Scatter diagrams and correlation (pressure vs temperature)
10:00 – Using large data set knowledge for interpolation
12:00 – Qualitative vs quantitative data (Beaufort example)
14:00 – Summary & final reflections

✏️ TOPICS COVERED:

Estimating mean & standard deviation from histograms

Frequency polygons & grouped data

Effect of transformations on standard deviation

Correlation interpretation (negative correlation)

Large Data Set (Beijing, 2015)

Qualitative vs quantitative comparisons

💯 EXAM TIPS:

Always check bar widths before assuming a histogram represents frequency directly.

Shifting all data values by a constant affects the mean but not the standard deviation.

Use real-world context when interpreting correlation — “pressure vs temperature” is a negative link.

Remember: qualitative data (e.g. Beaufort scale) cannot meaningfully form linear correlations.

📚 ABOUT GUFFICK TUITION:
Lee Guffick is a former Head of Mathematics and A-Level Examiner who helps students achieve A/A grades* and gain places at top universities including Oxford, Cambridge, and the Ivy League. His online group and 1:1 programmes are designed to build mastery, confidence, and exam precision.

📅 JOIN OUR PROGRAMME:
→ Personalised 1:1 Tutoring: https://www.gufficktuition.com/tutoring

→ Small Group Classes: https://www.gufficktuition.com/group-...

→ Summer Intensive Courses: https://www.gufficktuition.com/tutoring

📱 CONNECT WITH US:
→ Instagram: @leeguffick

→ Website: https://www.gufficktuition.com

→ Email: [email protected]

#ALevelMaths #MathsTutor #GuffickTuition #Statistics #Histograms #FrequencyPolygons #StandardDeviation #LargeDataSet #EdexcelMaths #ExamSuccess

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