A random sample of size n1equals25​, taken from a normal population with a standard deviation sigma1equals6​, has a mean x overbar 1equals87. A second random sample of size n2equals33​, taken from a different normal population with a standard deviation sigma2equals4​, has a mean x overbar 2equals36. Find a 96​% confidence interval for mu1minusmu2.

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Answer:

The 96% confidence interval would be given by [tex]48.156 \leq \mu_1 -\mu_2 \leq 53.844[/tex]  

Step-by-step explanation:

Previous concepts  

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".  

The margin of error is the range of values below and above the sample statistic in a confidence interval.  

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".  

[tex]\bar X_1 =87[/tex] represent the sample mean 1

[tex]\bar X_2 =36[/tex] represent the sample mean 2

n1=25 represent the sample 1 size  

n2=33 represent the sample 2 size  

[tex]\sigma_1 =6[/tex] sample standard deviation for sample 1

[tex]\sigma_2 =4[/tex] sample standard deviation for sample 2

[tex]\mu_1 -\mu_2[/tex] parameter of interest.

Solution to the problem

The confidence interval for the difference of means is given by the following formula:  

[tex](\bar X_1 -\bar X_2) \pm z_{\alpha/2}\sqrt{\frac{\sigma^2_1}{n_1}+\frac{\sigma^2_2}{n_2}}[/tex] (1)  

The point of estimate for [tex]\mu_1 -\mu_2[/tex] is just given by:

[tex]\bar X_1 -\bar X_2 =87-36=51[/tex]

Since the Confidence is 0.96 or 96%, the value of [tex]\alpha=0.04[/tex] and [tex]\alpha/2 =0.02[/tex], and we can use excel, a calculator or a table to find the critical value. The excel command would be: "=-NORM.INV(0.02,0,1)".And we see that [tex]z_{\alpha/2}=2.05[/tex]  

The standard error is given by the following formula:

[tex]SE=\sqrt{\frac{\sigma^2_1}{n_1}+\frac{\sigma^2_2}{n_2}}[/tex]

And replacing we have:

[tex]SE=\sqrt{\frac{6^2}{25}+\frac{4^2}{33}}=1.387[/tex]

Confidence interval

Now we have everything in order to replace into formula (1):  

[tex]51-2.05\sqrt{\frac{6^2}{25}+\frac{4^2}{33}}=48.156[/tex]  

[tex]51+2.05\sqrt{\frac{6^2}{25}+\frac{4^2}{33}}=53.844[/tex]  

So on this case the 96% confidence interval would be given by [tex]48.156 \leq \mu_1 -\mu_2 \leq 53.844[/tex]