In: Statistics and Probability
Data on oxide thickness of semiconductors are as follows: 426 433 414 418 420 437 416 409 432 436 422 426 412 435 434 427 409 426 407 436 422 426 415 416 Consider this data as a sample of the population. (a) Calculate a point estimate of the mean oxide thickness for all wafers in the population. (Round your answer to 3 decimal places.) (b) Calculate a point estimate of the standard deviation of oxide thickness for all wafers in the population. (Round your answer to 2 decimal places.) (c) Calculate the standard error of the point estimate from part (a). (Round your answer to 2 decimal places.) (d) Calculate a point estimate of the median oxide thickness for all wafers in the population. (Express your answer to 1 decimal places.) (e) Calculate a point estimate of the proportion of wafers in the population that have oxide thickness greater than 430 angstrom. (Round your answer to 4 decimal places.) (a) The point estimate of the mean oxide thickness is Angstroms. (b) The point estimate of the standard deviation of oxide thickness is Angstroms. (c) The point estimate of the standard error of the mean is Angstroms. (d) The point estimate of the median oxide thickness is Angstroms. (e) The estimate of the proportion requested is
a.
b.
Create the following table.
data | data-mean | (data - mean)2 |
426 | 2.9167 | 8.50713889 |
433 | 9.9167 | 98.34093889 |
414 | -9.0833 | 82.50633889 |
418 | -5.0833 | 25.83993889 |
420 | -3.0833 | 9.5067388900001 |
437 | 13.9167 | 193.67453889 |
416 | -7.0833 | 50.17313889 |
409 | -14.0833 | 198.33933889 |
432 | 8.9167 | 79.50753889 |
436 | 12.9167 | 166.84113889 |
422 | -1.0833 | 1.17353889 |
426 | 2.9167 | 8.50713889 |
412 | -11.0833 | 122.83953889 |
435 | 11.9167 | 142.00773889 |
434 | 10.9167 | 119.17433889 |
427 | 3.9167 | 15.34053889 |
409 | -14.0833 | 198.33933889 |
426 | 2.9167 | 8.50713889 |
407 | -16.0833 | 258.67253889 |
436 | 12.9167 | 166.84113889 |
422 | -1.0833 | 1.17353889 |
426 | 2.9167 | 8.50713889 |
415 | -8.0833 | 65.33973889 |
416 | -7.0833 | 50.17313889 |
Find the sum of numbers in the last column to get.
So standard deviation is
c. Standard error is
d. The median is the middle number in a sorted list of numbers. So, to find the median, we need to place the numbers in value order and find the middle number.
Ordering the data from least to greatest, we get:
407 409 409 412 414 415 416 416 418 420 422 422 426 426 426 426 427 432 433 434 435 436 436 437
As you can see, we do not have just one middle number but we have a pair of middle numbers, so the median is the average of these two numbers:
Median=
e, Ordering the data from least to greatest, we get:
407 409 409 412 414 415 416 416 418 420 422 422 426 426 426 426 427 432 433 434 435 436 436 437
Hence we see 7 values are greater than 430
So