Math  /  Data & Statistics

Question1. Suppose X1X_{1} is normally distributed with a mean of 4 and a standard deviation of 1 and suppose X2X_{2} is normally distributed with a mean of 5 and a standard deviation of 2 . (a) Explain why Xˉ1Xˉ2\bar{X}_{1}-\bar{X}_{2} is normally distributed, even though both n1n_{1} and n2n_{2} are small. (2 marks)

Studdy Solution

STEP 1

1. X1 X_1 and X2 X_2 are independent normal random variables.
2. The means and standard deviations are given: μ1=4,σ1=1 \mu_1 = 4, \sigma_1 = 1 for X1 X_1 and μ2=5,σ2=2 \mu_2 = 5, \sigma_2 = 2 for X2 X_2 .
3. We are considering the difference of sample means Xˉ1Xˉ2 \bar{X}_1 - \bar{X}_2 .

STEP 2

1. Discuss the properties of normal distributions.
2. Explain the distribution of the difference of two independent normal variables.

STEP 3

Discuss the properties of normal distributions:
- A normal distribution is fully characterized by its mean and standard deviation. - If a random variable is normally distributed, any linear combination of independent normal random variables is also normally distributed.

STEP 4

Explain the distribution of the difference of two independent normal variables:
- Since X1 X_1 and X2 X_2 are independent and normally distributed, the sample means Xˉ1 \bar{X}_1 and Xˉ2 \bar{X}_2 are also normally distributed. - The difference Xˉ1Xˉ2 \bar{X}_1 - \bar{X}_2 is a linear combination of independent normal variables. - Therefore, Xˉ1Xˉ2 \bar{X}_1 - \bar{X}_2 is normally distributed regardless of the sample sizes n1 n_1 and n2 n_2 .
The explanation shows that Xˉ1Xˉ2 \bar{X}_1 - \bar{X}_2 is normally distributed due to the properties of normal distributions and the independence of X1 X_1 and X2 X_2 .

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