Sunday, 18 September 2011

Mon Sep 19th – The Data Handling Cycle

LEARNING OBJECTIVE: Learn the four stages of the dta handling cycle and use them to plan a data collection activity.

SUCCESS CRITERIA: You will be able to plan a the stages of a data handling exercise given an hypothesis

STARTER: Stratified Sampling Revision - Answer questions 3 & 4 from these questions


 

LESSON: You have 7/8 mins in your teams to decide how you would prove or disprove that:

"there are longer sentences on average in magazines aimed at males than in magazines aimed at females"

Ask some teams to read out their plans to prove or disprove this hypothesis and discuss them.


 


 

Show the data handling cycle in the IWB discuss the four stages of the data handling cycle, with reference to the above Hypothesis.


 


 


 


 


 

Question 1

Mary is looking at costs of different tariffs with mobile phone operators.

Put these stages of the Data Handling Cycle in the correct order.

  1. Mary compares the values of the means and concludes which operator is cheapest.
  2. Mary states the hypothesis 'Superphone is the cheapest mobile operator'.
  3. Mary decides to calculate the mean cost of tariffs for several operators.
  4. Mary collects data for the cost of various tariffs for several operators.

Question 2

  1. Sally wants to investigate whether food is cheaper at the supermarket at the weekend compared to with during the week.
    How could she address this problem?
    In your answer refer to the stages of the Data Handling Cycle.

Exam Question

Ajay wants to test this hypothesis:

"families with more income own more mp3 players" 

Use the data handling cycle to write a plan for Ajay.


 


 

Sunday, 11 September 2011

Mon Sep 12th – What is sampling and how to find a Stratified Sample of a given population

LESSON OBJECTIVE: Gain some understanding of what is meant by sampling and be able to find a stratified sample from a population

SUCCESS CRITERIA: You will be able to explain the terms, Population, Sample, bias and will be able to find a stratified sample of a population

STARTER: Using this Mymaths Lesson Discuss populations, census and sample

LESSON: Quickly look at the various types of sampling methods available using above MyMthas Lesson

Introduce Stratified Sampling Using This MyMthas Lesson from screen 4 onwards

Have a go at these questions

PLENARY: Checking answers, Questions on Keywords with five finger feedback from students