Using SAS. (Unemployed Females Data) Use PROC X11to analyze the monthly unemployed females between ages 16...

Using SAS.

(Unemployed Females Data) Use PROC X11to analyze the monthly unemployed females between ages 16 and 19 in the United States from January 1961 to December 1985 (in thousands).

Unemployed Data:

July       1 60572
August     2 52461
September 3 47357
October    4 48320
November   5 60219
December   6 84418
January    7 119916
February   8 124350
March      9 87309
April     10 57035
May       11 39903
June      12 34053
July      13 29905
August    14 28068
September 15 26634
October   16 29259
November 17 38942
December 18 65036
January   19 110728
February 20 108931
March     21 71517
April     22 54428
May       23 42911
June      24 37123
July      25 33044
August    26 30755
September 27 28742
October   28 31698
November 29 41427
December 30 63685
January   31 99189
February 32 104240
March     33 75304
April     34 43622
May       35 33990
June      36 26819
July      37 25291
August    38 24538
September 39 22685
October   40 23945
November 41 28245
December 42 47017
January   43 90920
February 44 89340
March     45 47792
April     46 28448
May       47 19139
June      48 16728
July      49 16523
August    50 16622
September 51 15499

Female Data:

375 384 383 326 344 375 419 424 429 399 376 288
360 376 360 381 354 301 333 339 316 352 378 360
388 398 377 383 449 415 429 369 414 462 447 403
409 390 380 438 431 426 348 394 396 451 384 491
466 454 442 475 401 406 385 380 422 397 430 433
421 374 401 451 465 456 469 466 412 427 414 384
328 395 381 360 383 383 403 425 422 414 382 390
320 412 437 421 450 442 450 412 422 372 375 392
356 392 426 442 426 406 392 426 445 464 379 409
497 459 513 549 447 445 432 514 565 557 601 582
587 560 590 556 582 527 585 556 574 556 582 583
644 620 618 623 546 568 595 605 598 592 558 595
549 637 568 605 594 567 545 545 592 576 593 603
631 614 617 546 632 673 732 593 693 730 731 733
802 755 805 751 855 769 800 825 799 802 765 827
760 781 769 766 752 751 761 873 750 758 772 791
813 781 797 802 782 838 756 764 796 781 780 679
748 759 749 756 802 754 792 772 769 731 746 741
712 723 698 746 754 735 722 737 728 773 723 741
738 765 748 707 808 746 773 751 721 731 735 701
762 783 796 803 806 765 781 768 812 854 858 818
856 897 817 872 895 825 922 915 902 908 911 919
861 827 855 867 836 916 828 835 792 771 757 756
712 733 746 728 707 666 636 676 696 654 613 677
705 680 699 650 687 638 670 555 631 676 659 689

Expert Solution

Ans:

Here is the summary of the female data.

Overall summary of femaple unemployement

Female Data
Mean	599.3366667
Standard Error	10.0244367
Median	599.5
Mode	360
Standard Deviation	173.6283367
Sample Variance	30146.79932
Kurtosis	-1.403647007
Skewness	0.000205273
Range	634
Minimum	288
Maximum	922
Sum	179801
Count	300
Largest(1)	922
Smallest(1)	288
Confidence Level(95.0%)	19.72738639

monthly unemployed females between ages 16 and 19 in the United States summary

	Jan	Feb	Mar	Apr	May	Jun	Jul	Aug	Sep	Oct	Nov	Dec

Mean	592	597.96	598.88	600.16	607.52	591.72	598.32	596.76	603.84	607.52	597.96	599.4
Standard Error	36.85508	35.41659	34.7902	34.41016	36.39167	35.64732	36.05934	36.13269	34.01155	34.14109	34.99212	35.45034
Median	631	620	617	605	594	568	595	556	598	592	601	603
Mode	712	781	#N/A	#N/A	#N/A	406	#N/A	#N/A	422	731	#N/A	741
Standard Deviation	184.2754	177.083	173.951	172.0508	181.9584	178.2366	180.2967	180.6634	170.0578	170.7054	174.9606	177.2517
Sample Variance	33957.42	31358.37	30258.94	29601.47	33108.84	31768.29	32506.89	32639.27	28919.64	29140.34	30611.21	31418.17
Kurtosis	-1.5452	-1.62671	-1.65528	-1.38597	-1.58039	-1.3641	-1.47104	-1.36892	-1.37678	-1.39679	-1.39949	-1.18967
Skewness	-0.12555	-0.0252	-0.07708	-0.00777	0.042638	0.099529	0.036681	0.220241	-0.04446	0.014261	0.009379	-0.1287
Range	541	523	495	546	551	615	589	576	586	556	536	631
Minimum	320	374	360	326	344	301	333	339	316	352	375	288
Maximum	861	897	855	872	895	916	922	915	902	908	911	919
Sum	14800	14949	14972	15004	15188	14793	14958	14919	15096	15188	14949	14985
Count	25	25	25	25	25	25	25	25	25	25	25	25
Largest(1)	861	897	855	872	895	916	922	915	902	908	911	919
Smallest(1)	320	374	360	326	344	301	333	339	316	352	375	288
Confidence Level(95.0%)	76.06514	73.09625	71.80344	71.01907	75.10872	73.57246	74.42281	74.5742	70.19639	70.46374	72.22018	73.16591

orchestra answered 2 years ago

Analysis of Unobserved Component Models Using PROC UCM Analyzes "PROC UCM" WITH STATISTICAL SOFTWARE SAS or...

Analysis of Unobserved Component Models Using PROC UCM Analyzes "PROC UCM" WITH STATISTICAL SOFTWARE SAS or R. THE FOLLOWING DATA CONTAINING THE SUGAR PRICE INDEX, SINCE JANUARY 2010 UNTIL DECEMBER 2015 SHOW THE CODE USED AND THE RESULTS DATE valor ene-10 375.5 feb-10 360.8 mar-10 264.8 abr-10 233.4 may-10 215.7 jun-10 224.9 jul-10 247.4 ago-10 262.7 sep-10 318.1 oct-10 349.3 nov-10 373.4 dic-10 398.4 ene-11 420.2 feb-11 418.2 mar-11 372.3 abr-11 345.7 may-11 312.2 jun-11 357.7 jul-11 400.4 ago-11 393.7...

Use PROC GLM in SAS to test whether the mean number of days of sick leave...

Use PROC GLM in SAS to test whether the mean number of days of sick leave differs across bank branches. Use alpha= 0.05, and justify your answer by referring to either a test statistic value and table value, or by referring to a P-value. data banks; input branch leave; cards; 1 15 1 20 1 19 1 14 2 11 2 15 2 11 3 18 3 19 3 23 ; run;

Using PROC FORMAT and PROC FREQ for following data: (a) Define an appropriate format for the...

Using PROC FORMAT and PROC FREQ for following data: (a) Define an appropriate format for the gender variable. (b) Produce a 2 X 2 table with gender as the rows and lenses as the columns. (c) Calculate the relative risk and provide a one sentence written interpretation explicitly stating which groups are being compared and defining the outcome. (d) Perform a chi-squared test of association between gender and needing contact lenses. What are the results of the test (i.e. do...

Use PROC GLM in SAS to test whether the mean number of insect deaths differs across...

Use PROC GLM in SAS to test whether the mean number of insect deaths differs across insectide types. Use alpha= 0.05, and justify your answer by referring to either a test statistic value and table value, or by referring to a P-value. data insectdeaths; input INSECTICIDE $ DEAD; cards; A 85 B 90 C 93 D 98 A 82 B 92 C 94 D 98 A 83 B 90 C 96 D 100 A 88 B 91 C 95 D...

Using this SAS code for the data. The outcome variable is SBP and should be coded...

Using this SAS code for the data. The outcome variable is SBP and should be coded to appear on the y-axis. Note: you have to write the appropriate program Answer the following questions: Report the correlation coefficient and the p-value. (2pts) Report the parameter estimate for the intercept and heart rate (4pts) Using the regression equation, what is the expected blood pressure for someone with a heart rate of 153? (4pts) data sas_test; input hr sbp; datalines; 35 80 50...

Using the following lines of data, create a temporary SAS data set called ThreeDates. Each line...

Using the following lines of data, create a temporary SAS data set called ThreeDates. Each line of data contains three dates, the first two in the form mm/dd/yyyy descenders and the last in the form ddmmmyyyy. Name the three date variables Date1, Date2, and Date3. Format all three using the MMDDYY10. format. Include in your data set the number of years from Date1 to Date2 (Year12) and the number of years from Date2 to Date3 (Year23). Round these values to...

16) Which of these measures are used to analyze the central tendency of data? A) Mean...

16) Which of these measures are used to analyze the central tendency of data? A) Mean and Normal Distribution B) Mean, Median and Mode C) Mode, Alpha & Range D) Standard Deviation, Range and Mean E) Median, Range and Normal Distribution 31) The following data values represent the number of work hours per week for a sample of college students during the previous spring semester. 30, 17, 16, 20, 14, 28, 18, 17, 29, 14, 20, 29, 36, 69, 16,...

Use monthly data to compute the volatility and correlation between the NASDAQ and S&P returns over...

Use monthly data to compute the volatility and correlation between the NASDAQ and S&P returns over the last 1 year, over the last 2 years, and over the last 5 years. Show your results on a graph.

Assume that following data belongs to Turkey. Total population is 83m, population over 16 ages are...

Assume that following data belongs to Turkey. Total population is 83m, population over 16 ages are 60 m, employed is 34m, and unemployed is 7m which is including 3 million discouraged young job seekers. Answer the followings i) calculate the official unemployment rate which is narrowly defined unemployment rate ii) calculate the wider unemployment rate which includes discouraged young job seekers, You must show your calculation and express in percent terms. iii)Explain the logic behind such calculation of the wider...

Using SAS (also, please provide the syntax the output data) In a study investigating mortality among...

Using SAS (also, please provide the syntax the output data) In a study investigating mortality among teenage victims of motor vehicle accidents, information regarding the effectiveness of seatbelts was collected. In a sample of 250 teenagers who were wearing a seatbelt at the time of the accident, 15 died. In a sample of 125 teens who were not wearing a seatbelt, 17 died. We would like to test the null hypothesis that the proportions of teens who die as a...

Question