Concept explainers
Archaeology: Ireland The Hill of Tara in Ireland is a place of great archaeological importance. This region has been occupied by people for more than 4000 years. Geomagnetic surveys detect subsurface anomalies in the earth's magnetic field. These surveys have led to many significant archaeological discoveries. After collecting data, the next step is to begin a statistical study. The following data measure magnetic susceptibility (centimeter-gram-second x 10-6) on two of the main grids of the Hill of Tara (Reference: Tara: An ArchaeologicalSurvey by Conor Newman. Royal Irish Academy. Dublin).
Grid E: x variable | ||||||
13.20 | 5.60 | 19.80 | 15.05 | 21.40 | 17.25 | 27.45 |
16.95 | 23.90 | 32.40 | 40.75 | 5.10 | 17.75 | 28.35 |
Grid H: y variable | ||||||
11.85 | 15.25 | 21.30 | 17.30 | 27.50 | 10.35 | 14.90 |
48.70 | 25.40 | 25.95 | 57.60 | 34.35 | 38.80 | 41.00 |
31.25 |
(a) Compute
(b) Use the results of part (a) to compute the sample
(c) Compute a 75% Chebyshev interval around the mean for x values and also for y values. Use the intervals to compare the magnetic susceptibility on the two grids. Higher numbers indicate higher magnetic susceptibility. However, extreme values, high or low. could mean an anomaly and possible archaeological treasure.
(d)Interpretation Compute the sample coefficient of variation for each grid. Use the CVs to compare the two grids. If s represents variabilityin the signal (magnetic susceptibility) and
(a)
To find:
Answer to Problem 18P
Solution:
Explanation of Solution
Calculation: The values of
x | y | x2 | y2 |
13.20 | 11.85 | 174.24 | 140.4225 |
5.60 | 15.25 | 31.36 | 232.5625 |
19.80 | 21.30 | 392.04 | 453.6900 |
15.05 | 17.30 | 226.50 | 299.2900 |
21.40 | 27.50 | 457.96 | 756.2500 |
17.25 | 10.35 | 297.56 | 107.1225 |
27.45 | 14.90 | 753.50 | 222.0100 |
16.95 | 48.70 | 287.30 | 2371.6900 |
23.90 | 25.40 | 571.21 | 645.1600 |
32.40 | 25.95 | 1049.76 | 673.4025 |
40.75 | 57.60 | 1660.56 | 3317.7600 |
5.10 | 34.35 | 26.01 | 1179.9225 |
17.75 | 38.80 | 315.06 | 1505.4400 |
28.35 | 41.00 | 803.72 | 1681.0000 |
31.25 | 976.5625 | ||
284.95 | 421.50 | 7046.80 | 14562.29 |
The above table shows the variable x, y, and their corresponding squares.
Therefore, from above table
Interpretation:
(b)
To find: The sample mean, variance, and standard deviation for x and for y.
Answer to Problem 18P
Solution: For x:
For y:
Explanation of Solution
Calculation: The results obtained in the part (a) as:
For (Grid E) x, calculation of
Here,
The sample mean
The sample variance
The sample standard deviation s is calculated as follows:
For y (Grid H) calculation of
Here,
The sample mean
The sample variance
The sample standard deviation s is calculated,
Interpretation: For x (Grid E):
For y (Grid H):
(c)
To find: A 75% Chebyshev's interval around the mean for x values and for y values, and also compare these intervals.
Answer to Problem 18P
Solution: A 75% Chebyshev's interval around the mean for x values is 0.77 to 39.93 and for y values is 0.24 to 55.96. Grid H (y) shows a wider 75% range of values.
Explanation of Solution
Calculation: According to results of Chebyshev's theorem, at least 75% of the data must fall within 2 standard deviations of the mean.
For a 75% Chebyshev's interval around the mean for x values: the mean is
For a 75% Chebyshev's interval around the mean for y values: the mean is
A 75% Chebyshev's interval around the mean for x values is 0.77 to 39.93 and for y values is 0.24 to 55.96.
It can be seen from 75% Chebyshev's interval around the mean for x and y, 75% of magnetic susceptibility on the Grid H falls within a wider range than those of the Grid E. Hence, In particular, the Grid H indicates higher magnetic susceptibility.
Interpretation: A 75% Chebyshev's interval around the mean for x values is 0.77 to 39.93 and for y values is 0.24 to 55.96.
(d)
To find: The coefficient of variation for each fund.
Answer to Problem 18P
Solution: For Grid E x, coefficient of variation is 48%; for the Grid H y, coefficient of variation is 50%.
Explanation of Solution
Calculation: For x, coefficient of variation is calculated as:
The sample coefficient of variation CV is defined to be
In this data set, the
Hence, the coefficient of variation is calculated as:
For y, coefficient of variation is calculated as:
In this data set, the
Hence, the coefficient of variation is calculated as:
The coefficient of variation (CV), for x is 49% and for y is 50%. CV for x, is small than y. since, the lower CV, the smaller the level of dispersion around the mean. Grid H demonstrates slightly greater variability per expected signal. The CV, together with the confidence interval, indicates that Grid H might have more buried artifacts.
Interpretation: Hence, the coefficient of variation for x is 49% and the coefficient of variation for y is 50%.
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Chapter 3 Solutions
Understanding Basic Statistics
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