In: Statistics and Probability
A random sample data is given below for annual income from 30 households.
96727 | 96621 | 107235 |
95366 | 97681 | 101890 |
95432 | 96697 | 107511 |
96886 | 96522 | 95385 |
97469 | 96664 | 106627 |
95744 | 95208 | 107795 |
98717 | 106622 | 107338 |
94929 | 95801 | 105601 |
97912 | 97611 | 96362 |
96244 | 97835 | 99610 |
A. From the info given above, what is the IQR?
B. From the data above, construct a 95% confidence interval for the population's mean annual income. _____________< u > _____________
C. What is the statistical interpretation of this particular confidence interval?
A.
Interquartile range or IQR is given by, IQR = Q3-Q1
Here, Q1= 96273.5
and Q3= 101320
Therefore, IQR = 5046.5
B.
Let the mean and standard deviation are unknown, so we have to estimate them.
Here, the pivotal quantity is, nX-μS ~tn-1, n=30.
The 95% confidence interval for μ is,
(X-S30t0.025;29,X+S30t0.025;29)
Now, from the sample, X=1ni=1nXi=99268.07
and, S=1n-1i=1n(Xi-X)2=4547.495
and, t0.025;29=2.04523
Then, X-S30t0.025;29=98958.04
and, X+S30t0.025;29=99578.09
Therefore, the required 95% confidence interval for μ is, (98958.04,99578.09)
C.
Interpretation:
We can conclude that the true mean μ of the sample lies in the range
(98958.04,99578.09) with 95% certainty or confidence.