H2 Math – Sampling Theory

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Sampling 3 Questions

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Pg 1 – Unbiased estimate of Population Parameters

Pg 1 – Distribution of X

Additional Notes – Different Inequalities Involved

Basics of Sampling 3 Questions

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Pg 2 Q1 – Basics of sampling

Pg 2 Q2 – Basics of sampling

Pg 2 Q3 – Basics of sampling

Unbiased Estimate for Population Parameters 6 Questions

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Pg 3 Q1 – Unbiased Estimate for Population Parameters

Pg 3 Q2 – Unbiased Estimate For Population Parameters

Pg 3 Q3 – Unbiased Estimate for Population Parameters

Pg 3 Q5 – Unbiased Estimate For Population Parameters

Pg 3 Q6 – Unbiased Estimate For Population Parameters

Pg 3 Q7 – Unbiased Estimate For Population Parameters

Finding the Population Variance given Sample Variance 2 Questions

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Pg 4 Q1 – Finding The Population Variance Given Sample Variance

Pg 4 Q3 – Finding The Population Variance Given Sample Variance

Sample Mean 2 Questions

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Pg 4 Q4 – Sample Mean

Pg 4 Q5 – Sample Mean

Using GC to find the possible value of n 2 Questions

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Pg 4 Q6 – Using GC to find the possible value of n

Pg 4 Q7 – Using GC to find the possible value of n

Sampling from a non-normal population (Central Limit Theorem) 7 Questions

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Sampling From A Non-Normal Population (Central Limit Theorem) Q1

Sampling From A Non-Normal Population (Central Limit Theorem) Q2

Sampling From A Non-Normal Population (Central Limit Theorem) Q3

Sampling From A Non-Normal Population (Central Limit Theorem) Q4

Sampling From A Non-Normal Population (Central Limit Theorem) Q5

Sampling From A Non-Normal Population (Central Limit Theorem) Q6

Sampling From A Non-Normal Population (Central Limit Theorem) Q7

Assumptions for Sampling 2 Questions

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Pg 7 Q1 – Assumptions For Sampling

Pg 7 Q2 – Assumptions For Sampling