Question
2- The employee database show City, Gender, Age, and Salary of 340 samples from a car manufacture company employee. a. With 95% confidence level, estimate
2- The employee database show City, Gender, Age, and Salary of 340 samples from a car manufacture company employee. a. With 95% confidence level, estimate the average salary of men in city A. Repeat your calculation for women in city C. b. Regardless of which city they are working, suppose you want to estimate the average salary of men with in 210 units with 99% confidence level. According to historical data you know the standard deviation of the salary is 5000. What sample size would be required? c. Estimate with 95% confidence the difference population mean of men and women's salary in city A.
3- Refer to the employee database in question 2. a. With 95% confidence level, can we conclude that the average salary of men in city A is higher than average salary of men in city C? b. Test whether there is sufficient evidence to show that the average age in men group is equal to women (regardless of which city they are working). Assume 90% confidence level. c. Are you agreed with this statement; "in city B, women employees are younger than men"? Use 99% confidence level.
City | Gender | Age | Salary |
A | Male | 31 | 113,016 |
A | Male | 44 | 66,461 |
A | Male | 40 | 63,613 |
A | Male | 41 | 62,009 |
A | Male | 42 | 108,526 |
A | Male | 50 | 117,533 |
A | Male | 30 | 79,824 |
A | Male | 50 | 92,646 |
A | Male | 30 | 91,635 |
A | Male | 36 | 67,846 |
A | Male | 30 | 66,810 |
A | Male | 45 | 107,467 |
A | Male | 41 | 93,685 |
A | Male | 44 | 75,436 |
A | Male | 43 | 65,561 |
A | Male | 30 | 72,915 |
A | Male | 33 | 64,838 |
A | Male | 31 | 74,452 |
A | Male | 42 | 60,843 |
A | Male | 46 | 68,512 |
A | Male | 42 | 98,280 |
A | Male | 32 | 79,133 |
A | Male | 44 | 117,607 |
A | Male | 35 | 101,381 |
A | Male | 42 | 103,461 |
A | Male | 35 | 66,650 |
A | Male | 48 | 119,386 |
A | Male | 40 | 83,005 |
A | Male | 31 | 95,681 |
A | Male | 40 | 68,818 |
A | Female | 44 | 110,264 |
A | Female | 32 | 69,417 |
A | Female | 36 | 109,286 |
A | Female | 38 | 118,393 |
A | Female | 41 | 63,576 |
A | Female | 45 | 95,698 |
A | Female | 30 | 67,235 |
A | Female | 48 | 105,991 |
A | Female | 40 | 62,474 |
A | Female | 41 | 65,776 |
A | Female | 35 | 104,351 |
A | Female | 42 | 106,160 |
A | Female | 31 | 77,065 |
A | Female | 44 | 108,724 |
A | Female | 39 | 94,761 |
A | Female | 35 | 116,260 |
A | Female | 41 | 82,375 |
A | Female | 37 | 63,557 |
A | Female | 42 | 93,090 |
A | Female | 34 | 93,221 |
A | Female | 35 | 57,667 |
A | Female | 30 | 117,837 |
A | Female | 30 | 96,373 |
A | Female | 31 | 81,485 |
A | Female | 45 | 74,539 |
A | Female | 34 | 106,909 |
A | Female | 32 | 78,238 |
A | Female | 45 | 101,013 |
A | Female | 37 | 77,411 |
A | Female | 34 | 106,539 |
A | Female | 36 | 100,788 |
A | Female | 32 | 105,676 |
A | Female | 37 | 94,892 |
A | Female | 35 | 63,435 |
A | Female | 48 | 112,646 |
A | Female | 42 | 97,988 |
A | Female | 50 | 113,181 |
A | Female | 47 | 59,602 |
A | Female | 40 | 100,714 |
A | Female | 33 | 75,622 |
A | Female | 32 | 89,726 |
A | Female | 49 | 115,010 |
A | Female | 34 | 112,720 |
A | Female | 35 | 92,317 |
A | Female | 30 | 113,053 |
A | Female | 42 | 56,148 |
B | Male | 36 | 74,084 |
B | Male | 42 | 113,627 |
B | Male | 49 | 64,994 |
B | Male | 35 | 82,762 |
B | Male | 34 | 55,856 |
B | Male | 33 | 61,868 |
B | Male | 50 | 76,984 |
B | Male | 49 | 103,987 |
B | Male | 40 | 63,588 |
B | Male | 30 | 69,158 |
B | Male | 47 | 71,163 |
B | Male | 31 | 118,067 |
B | Male | 36 | 61,891 |
B | Male | 32 | 112,638 |
B | Male | 30 | 62,448 |
B | Male | 31 | 76,629 |
B | Male | 32 | 82,797 |
B | Male | 45 | 70,277 |
B | Male | 35 | 57,718 |
B | Male | 40 | 72,586 |
B | Male | 33 | 116,063 |
B | Male | 42 | 113,663 |
B | Male | 42 | 113,382 |
B | Male | 41 | 59,155 |
B | Male | 43 | 72,115 |
B | Male | 45 | 65,332 |
B | Male | 48 | 60,556 |
B | Male | 49 | 87,426 |
B | Male | 40 | 79,533 |
B | Male | 36 | 78,628 |
B | Male | 32 | 114,414 |
B | Male | 48 | 58,185 |
B | Male | 39 | 104,493 |
B | Male | 48 | 94,068 |
B | Male | 48 | 102,190 |
B | Male | 40 | 55,471 |
B | Male | 39 | 65,790 |
B | Male | 44 | 100,977 |
B | Male | 37 | 100,068 |
B | Male | 39 | 92,171 |
B | Male | 47 | 77,774 |
B | Male | 30 | 83,696 |
B | Male | 49 | 105,371 |
B | Male | 37 | 87,432 |
B | Male | 35 | 97,007 |
B | Male | 34 | 70,437 |
B | Male | 37 | 71,161 |
B | Male | 32 | 89,997 |
B | Female | 42 | 105,859 |
B | Female | 31 | 105,422 |
B | Female | 32 | 114,661 |
B | Female | 32 | 95,477 |
B | Female | 45 | 89,135 |
B | Female | 45 | 117,327 |
B | Female | 37 | 75,924 |
B | Female | 30 | 69,164 |
B | Female | 41 | 118,540 |
B | Female | 37 | 61,597 |
B | Female | 41 | 70,201 |
B | Female | 31 | 100,834 |
B | Female | 36 | 91,197 |
B | Female | 30 | 90,403 |
B | Female | 46 | 79,642 |
B | Female | 46 | 117,232 |
B | Female | 34 | 86,797 |
B | Female | 32 | 100,961 |
B | Female | 35 | 56,223 |
B | Female | 39 | 105,736 |
B | Female | 36 | 60,180 |
B | Female | 46 | 62,067 |
B | Female | 31 | 92,014 |
B | Female | 32 | 81,776 |
B | Female | 50 | 91,080 |
B | Female | 34 | 65,157 |
B | Female | 36 | 99,643 |
B | Female | 43 | 68,243 |
B | Female | 38 | 68,664 |
B | Female | 50 | 101,234 |
B | Female | 31 | 83,952 |
B | Female | 46 | 107,872 |
B | Female | 33 | 80,092 |
B | Female | 35 | 97,075 |
B | Female | 31 | 69,771 |
B | Female | 39 | 67,358 |
B | Female | 38 | 106,271 |
B | Female | 45 | 83,289 |
B | Female | 38 | 119,323 |
B | Female | 41 | 82,803 |
B | Female | 50 | 64,200 |
B | Female | 42 | 58,104 |
B | Female | 43 | 114,544 |
B | Female | 45 | 68,215 |
B | Female | 36 | 70,571 |
B | Female | 43 | 95,124 |
B | Female | 42 | 117,955 |
B | Female | 33 | 81,534 |
B | Female | 30 | 113,900 |
B | Female | 35 | 64,454 |
B | Female | 37 | 65,829 |
B | Female | 41 | 82,022 |
B | Female | 49 | 96,388 |
B | Female | 46 | 89,088 |
B | Female | 47 | 92,973 |
B | Female | 32 | 106,007 |
B | Female | 40 | 99,714 |
B | Female | 35 | 57,153 |
B | Female | 44 | 82,615 |
B | Female | 40 | 96,375 |
B | Female | 43 | 98,590 |
B | Female | 45 | 65,360 |
B | Female | 38 | 87,731 |
B | Female | 44 | 84,313 |
B | Female | 39 | 85,463 |
B | Female | 32 | 68,497 |
B | Female | 44 | 90,729 |
B | Female | 50 | 76,834 |
B | Female | 42 | 66,282 |
B | Female | 44 | 97,842 |
B | Female | 50 | 71,762 |
B | Female | 42 | 83,311 |
B | Female | 42 | 75,339 |
B | Female | 49 | 110,368 |
C | Male | 36 | 96,219 |
C | Male | 44 | 109,686 |
C | Male | 47 | 93,113 |
C | Male | 47 | 66,170 |
C | Male | 41 | 60,617 |
C | Male | 47 | 74,366 |
C | Male | 50 | 119,020 |
C | Male | 38 | 97,232 |
C | Male | 36 | 109,823 |
C | Male | 41 | 109,557 |
C | Male | 50 | 111,530 |
C | Male | 34 | 80,225 |
C | Male | 44 | 93,657 |
C | Male | 30 | 118,025 |
C | Male | 40 | 57,032 |
C | Male | 33 | 98,698 |
C | Male | 43 | 59,496 |
C | Male | 35 | 90,766 |
C | Male | 31 | 91,486 |
C | Male | 34 | 113,521 |
C | Male | 31 | 73,945 |
C | Male | 45 | 67,027 |
C | Male | 46 | 67,051 |
C | Male | 49 | 98,411 |
C | Male | 50 | 97,338 |
C | Male | 37 | 118,349 |
C | Male | 37 | 60,922 |
C | Male | 38 | 110,588 |
C | Male | 42 | 70,549 |
C | Male | 33 | 94,914 |
C | Male | 48 | 102,385 |
C | Male | 36 | 92,470 |
C | Male | 46 | 78,502 |
C | Male | 42 | 102,796 |
C | Male | 34 | 89,755 |
C | Male | 30 | 74,237 |
C | Female | 41 | 70,079 |
C | Female | 49 | 77,198 |
C | Female | 49 | 106,560 |
C | Female | 36 | 74,090 |
C | Female | 40 | 102,675 |
C | Female | 49 | 80,033 |
C | Female | 36 | 105,302 |
C | Female | 36 | 77,489 |
C | Female | 44 | 92,304 |
C | Female | 40 | 94,672 |
C | Female | 35 | 116,507 |
C | Female | 37 | 87,254 |
C | Female | 33 | 74,955 |
C | Female | 37 | 77,554 |
C | Female | 41 | 81,973 |
C | Female | 38 | 93,922 |
C | Female | 32 | 115,457 |
C | Female | 36 | 78,315 |
C | Female | 48 | 61,316 |
C | Female | 37 | 115,454 |
C | Female | 38 | 113,701 |
C | Female | 46 | 97,096 |
C | Female | 41 | 69,483 |
C | Female | 44 | 92,759 |
C | Female | 47 | 82,769 |
C | Female | 40 | 56,526 |
C | Female | 31 | 55,918 |
C | Female | 44 | 112,182 |
C | Female | 34 | 77,367 |
C | Female | 40 | 72,098 |
C | Female | 36 | 86,845 |
C | Female | 48 | 75,701 |
C | Female | 31 | 118,226 |
C | Female | 39 | 79,985 |
C | Female | 41 | 64,174 |
C | Female | 42 | 100,224 |
C | Female | 31 | 100,889 |
C | Female | 45 | 75,590 |
C | Female | 31 | 99,451 |
C | Female | 41 | 117,973 |
C | Female | 30 | 57,846 |
C | Female | 42 | 104,351 |
C | Female | 30 | 111,225 |
C | Female | 49 | 87,716 |
C | Female | 32 | 117,996 |
C | Female | 38 | 58,315 |
C | Female | 46 | 107,765 |
C | Female | 44 | 58,400 |
C | Female | 30 | 114,948 |
C | Female | 37 | 68,629 |
C | Female | 48 | 61,763 |
C | Female | 33 | 107,854 |
C | Female | 47 | 119,582 |
C | Female | 40 | 104,355 |
C | Female | 47 | 83,381 |
C | Female | 39 | 119,085 |
C | Female | 36 | 55,136 |
C | Female | 44 | 76,654 |
C | Female | 37 | 109,839 |
C | Female | 47 | 76,039 |
C | Female | 44 | 83,492 |
C | Female | 40 | 90,067 |
C | Female | 33 | 72,812 |
C | Female | 37 | 88,071 |
C | Female | 32 | 55,990 |
C | Female | 46 | 111,644 |
C | Female | 45 | 105,626 |
C | Female | 40 | 94,651 |
C | Female | 33 | 85,039 |
C | Female | 41 | 88,461 |
C | Female | 35 | 83,335 |
C | Female | 34 | 82,455 |
C | Female | 48 | 98,481 |
C | Female | 30 | 117,141 |
C | Female | 33 | 86,082 |
C | Female | 46 | 60,735 |
C | Female | 43 | 109,675 |
C | Female | 40 | 118,766 |
C | Female | 50 | 118,258 |
C | Female | 30 | 56,652 |
C | Female | 40 | 95,370 |
C | Female | 35 | 55,818 |
C | Female | 41 | 116,920 |
C | Female | 36 | 56,009 |
C | Female | 44 | 71,293 |
C | Female | 35 | 77,275 |
C | Female | 33 | 108,088 |
C | Female | 45 | 68,572 |
C | Female | 46 | 89,957 |
C | Female | 40 | 81,106 |
C | Female | 49 | 56,926 |
C | Female | 37 | 104,538 |
C | Female | 35 | 63,598 |
C | Female | 34 | 61,567 |
C | Female | 37 | 105,881 |
C | Female | 34 | 116,398 |
C | Female | 31 | 88,159 |
C | Female | 47 | 106,275 |
C | Female | 41 | 59,829 |
C | Female | 33 | 62,194 |
C | Female | 47 | 55,509 |
C | Female | 30 | 118,150 |
C | Female | 30 | 70,056 |
C | Female | 50 | 62,811 |
C | Female | 50 | 62,138 |
C | Female | 33 | 78,037 |
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