Women at Work Essay Example For Students

Women at Work Essay One of the most significant sociological changes in the nations history began in the last decade of the nineteenth century and the ramifications are still being felt today. This change consisted of the large numbers of women who entered the work force. This dramatic change in American society was accompanied by a great deal of controversy and prejudice directed towards women. It was predicted that female employment would bring about the downfall of society and the change of the American family. While a large portion of the public was appalled by the thought of independent young working women, they were also fascinated. Therefore, the attitudes of the public toward these women can be seen in the literature that was produced at that time. The works of Edith Wharton and Theodore Dreiser immediately come to mind as dramatizations of the life of women of this period. We will write a custom essay on Women at Work specifically for you for only $16.38 $13.9/page Order now Slowly, attitudes began to change. The employment opportunities for women enlarged and women began to slowly gain their rights as full citizens, finally receiving the right to vote in 1920. The attitudes of the women in the work force also changed as time progressed. At first, they struggled for even the opportunity to work. As the century progressed, they became more active in union activities and, as newspapers from the period demonstrate, they fought to achieve better working conditions and better wages. By 1900, many poor and working-class young women, mostly of Northern white extraction, were leaving the confines and moral structures of their families and elders and venturing forth to the large industrial cities such as New York (Lunbeck 781). There they became enthusiastic participants of the new pleasures that were offered to consumers in the brand-new century. Essentially, these young women added a stage to the female life cycle that had not previously existed nadolescence (Lunbeck 781). In the 1890s, female factory workers were seen as a serious economic and social threat. Because women generally worked at the bottom of the pay scale, the theory was that they depressed the overall pay scale for all workers (Kessler-Harris 98). Many solutions were suggested at this time that all revolved around the idea of these women getting marriedothe idea being that a married woman would not work for wages. Although this idea seems ludicrous from a modern perspective, it should be noted that the idea persisted well into the twentieth century (Kessler-Harris 99). Even at the time, however, there were female voices that argued against the prevailing prejudices, thus showing that the attitudes of the women, themselves, were changing. Nevertheless, the prejudice against female workers essentially allowed their employers at the various factories to blame the women themselves for their low wages. The standard argument was that these women did not need to work. Part of this concept was that these women were supported by fathers, brothers, etc. and only wanted the jobs so they would have money for nice clothes and extras. Despite numerous government statistics that demonstrated financial need by many female workers, the prevailing attitude was that women brought their low earnings on themselves (Kessler-Harris 100). This, of course, totally ignored the government statistics that pertained to immigrant families and minorities, where family finances were the prime motivating factor towards women joining the work force (Kessler-Harris 123). Additionally, the census figures that showed immigrant wives as not working failed to take into consideration that these women were usually employed as their husbands assistants (Anonymous 25; Kessler-Harris 124). Those knowledgeable about working conditions within New Yorks factories found the facts to be far different from this scenario. While some women lived at home, many did not. At a weekly wage of eight to ten dollars per week, these women generally paid five to six of that for their rooms (Barnum 7). Women who made less then eight dollars per week had to find a place that rented for less and she generally made up the difference by working for her board. .u381e09a07637de4901cf7902a9829a78 , .u381e09a07637de4901cf7902a9829a78 .postImageUrl , .u381e09a07637de4901cf7902a9829a78 .centered-text-area { min-height: 80px; position: relative; } .u381e09a07637de4901cf7902a9829a78 , .u381e09a07637de4901cf7902a9829a78:hover , .u381e09a07637de4901cf7902a9829a78:visited , .u381e09a07637de4901cf7902a9829a78:active { border:0!important; } .u381e09a07637de4901cf7902a9829a78 .clearfix:after { content: ""; display: table; clear: both; } .u381e09a07637de4901cf7902a9829a78 { display: block; transition: background-color 250ms; webkit-transition: background-color 250ms; width: 100%; opacity: 1; transition: opacity 250ms; webkit-transition: opacity 250ms; background-color: #95A5A6; } .u381e09a07637de4901cf7902a9829a78:active , .u381e09a07637de4901cf7902a9829a78:hover { opacity: 1; transition: opacity 250ms; webkit-transition: opacity 250ms; background-color: #2C3E50; } .u381e09a07637de4901cf7902a9829a78 .centered-text-area { width: 100%; position: relative ; } .u381e09a07637de4901cf7902a9829a78 .ctaText { border-bottom: 0 solid #fff; color: #2980B9; font-size: 16px; font-weight: bold; margin: 0; padding: 0; text-decoration: underline; } .u381e09a07637de4901cf7902a9829a78 .postTitle { color: #FFFFFF; font-size: 16px; font-weight: 600; margin: 0; padding: 0; width: 100%; } .u381e09a07637de4901cf7902a9829a78 .ctaButton { background-color: #7F8C8D!important; color: #2980B9; border: none; border-radius: 3px; box-shadow: none; font-size: 14px; font-weight: bold; line-height: 26px; moz-border-radius: 3px; text-align: center; text-decoration: none; text-shadow: none; width: 80px; min-height: 80px; background: url(https://artscolumbia.org/wp-content/plugins/intelly-related-posts/assets/images/simple-arrow.png)no-repeat; position: absolute; right: 0; top: 0; } .u381e09a07637de4901cf7902a9829a78:hover .ctaButton { background-color: #34495E!important; } .u381e09a07637de4901cf7902a9829a78 .centered-text { display: table; height: 80px; padding-left : 18px; top: 0; } .u381e09a07637de4901cf7902a9829a78 .u381e09a07637de4901cf7902a9829a78-content { display: table-cell; margin: 0; padding: 0; padding-right: 108px; position: relative; vertical-align: middle; width: 100%; } .u381e09a07637de4901cf7902a9829a78:after { content: ""; display: block; clear: both; } READ: Child Abuse Essay This meant that many women rose at 5 a.m. and did domestic chores for their board, then put in their workday, and then returned for home for more domestic work (Barnum 7). A male, who generally made anywhere from 15% to

Activity 1 - Simple Random and Stratified Random Samples SP 14(4)(1) E

Activity 1 - Simple Random and Stratified Random Samples SP 14(4)(1) E STAT 1350: Elementary Statistics Collaborative Activity 1 Simple Random and Stratified Random Sampling Sampling Frame The sampling frame provided with this Collaborative Activity represents the student body as of the first day of autumn semester at a small liberal arts school in central Ohio. A Simple Random Sample The college believes that 75% of the student body resides on campus. Use the random number table (attached) to randomly select 10 students. Label the sampling frame using two digit numbers. STEP 1: Label the Sampling Frame STEP 2: Generate Random Numbers starting at row 145 of Table A a. List the 10 students. Indicate whether the student resides on campus or commutes to campus. |Label Number |Dorm or Off Campus|Label Number |Dorm or Off Campus| | | | | | | | | | | | | | | | | | | | | | | | | | b. What percentage of your SRS live in a dorm? ________________________ c. I selected 5 other SRS of size 10 and recorded the percentage of each sample who lives in a dorm. Compare your percentage from part (b) to the percentages given below. Explain why the percentages are not all the same. 30%; 20%; 30%; 40%; 40%; d. Does your data support the college's belief? Explain why or why not. Stratified Simple Random Sample - a variation of the SRS. To take a Stratified Simple Random Sample, divide the population into 2 or more strata (naturally occurring subgroups). Take a SRS from the first strata then take a SRS from the second strata and so on until you have a SRS from each of the strata. Combine the SRS selected from each strata to make your stratified simple random sample. Pick a stratified sample, by gender of 20 students. Select 10 students from each stratum and record the class rank of each student. First select a SRS of 10 females. Then, continuing on the random number table where you left off, select a SRS of 10 males. Use the labels as you assigned them for the first SRS. STEP 1: Female labels: ____________________ Male: _______________________ STEP 2: Start at row 137 of Table A. a. List the 20 students |Label Number|Gender |Class Rank |Label Number|Gender |Class Rank | | |Female | | |Male | | | |Female | | |Male | | | |Female | | |Male | | | |Female | | |Male | | | |Female | | |Male | | | |Female | | |Male | | | |Female | | |Male | | | |Female | | |Male | | | |Female | | |Male | | | |Female | | |Male | | What does your sample reveal about class rank and gender? Answer in complete sentence(s). TABLE A Random digits Line 101 19223 95034 05756 28713 96409 12531 42544 82853 102 73676 47150 99400 01927 27754 42648 82425 36290 103 45467 71709 77558 00095 32863 29485 82226 90056 104 52711 38889 93074 60227 40011 85848 48767 52573 105 95592 94007 69971 91481 60779 53791 17297 59335 106 68417 35013 15529 72765 85089 57067 50211 47487 107 82739 57890 20807 47511 81676 55300 94383 14893 108 60940 72024 17868 24943 61790 90656 87964 18883 109 36009 19365 15412 39638 85453 46816 83485 41979 110 38448 48789 18338 24697 39364 42006 76688 08708 111 81486 69487 60513 09297 00412 71238 27649 39950 112 59636 88804 04634 71197 19352 73089 84898 45785 113 62568 70206 40325 03699 71080 22553 11486 11776 114 45149 32992 75730 66280 03819 56202 02938 70915 115 61041 77684 94322 24709 73698 14526 31893 32592 116 14459 26056 31424 80371 65103 62253 50490 61181 117 38167 98532 62183 70632 23417 26185 41448 75532 118 73190 32533 04470 29669 84407 90785 65956 86382 119 95857 07118 87664 92099 58806 66979 98624 84826 120 35476 55972 39421 65850 04266 35435 43742 11937 121 71487 09984 29077 14863 61683 47052 62224 51025 122 13873 81598 95052 90908 73592 75186 87136 95761 123 54580 81507 27102 56027 55892 33063 41842 81868 124 71035 09001 43367 49497 72719 96758 27611 91596 125 96746 12149 37823 71868 18442 35119 62103 39244 126 96927 19931 36089 74192 77567 88741 48409 41903 127 43909 99477 25330 64359 40085 16925 85117 36071 128 15689 14227 06565 14374 13352 49367 81982 87209 129 36759 58984 68288 22913 18638 54303 00795 08727 130 69051 64817 87174 09517 84534 06489 87201 97245 131 05007 16632 81194 14873 04197 85576 45195 96565 132 68732 55259 84292 08796 43165 93739 31685 97150 133 45740 41807 65561 33302 07051 93623 18132 09547 134 27816 78416 18329 21337 35213 37741 04312 68508 135 66925 55658 39100 78458 11206 19876 87151 31260 136 08421 44753 77377 28744 75592 08563 79140 92454 137 53645 66812 61421 47836 12609 15373 98481 14592 138 66831 68908 40772 21558 47781 33586 79177 06928 139 55588 99404 70708 41098 43563 56934 48394 51719 140 12975 13258 13048 45144

Marketing Cases Problem Solving Case Study Example | Topics and Well Written Essays - 1000 words

Marketing Cases Problem Solving - Case Study Example A.1. can also try to develop its own tie-ups with the distributors of its product, like the grocery stores and restaurants. For instance, A.1. could concentrate on building up a superior communication network between itself and its distributors and suppliers so that they can understand each others' needs. It is very crucial for A.1. to retain the major percentage of shelf space within grocery stores since this has an express correlation with the sales level of an item. The company can carry out a small research to find out the exact optimal position for its products within the shelf layout. It can then quest for that position to be granted by its distributors. A.1. should guarantee that the situation of its product's kiosks is in elevated traffic areas and that they are easily reached. When the firm is trying to obtain partnerships with restaurants, it should emphasize the fact that "9 out of 10 steakhouses serve A.1." (Kerin and Peterson 631). Also, the display of A.1. Steak Sauce on a table motivates 70% of consumers to think about steak (A.1. Sauce Derives Its Name From Utterance of a King, 15). The firm can also go in for promotion of its product by offering a free product such as a spatula with a bottle of A1. But the firm has to be careful in dealing with such giveaways by announcing that the consumer's who submit their information to the company will only be given the additional product free. A.1 could simultaneously promote its product at the venue and date which Lawry's has chosen for its launch. The company can also try its hands at sponsoring barbeques outside the games venue throughout March Madness. A.1. could also organize barbeques at the exterior of large grocery store chains, such as Publix, predominantly on the Memorial Day weekend. The company normally makes use of around 15% of its operating revenue on advertising (Kerin and Peterson 633). This is a sturdy budget to promote its steak sauce. The firm's should also plan for its advertising goals and it should see to it that the frequency of such ads increases and it get more penetration power. Giving a free spatula would also incite psychological reactions from consumers. Asking the customers to propose their personal information before receiving the free giveaway would help the firm in expanding its customer relationship management database. Carrying on barbeques outside college basketball games throughout March Madness would comprise sufficient exposure for the firm. Finally, the firm could work to package A.1. or use the sauce as an ingredient in other Kraft products in order to enlarge their customer base. For instance, the firm can combine A.1. Steak Sauce with Oscar Meyer meat or Lunchable products. Reference: 1. Kerin, Roger, and Robert Peterson. Strategic Marketing Problems: Cases and Comments. 11th Edition. Upper Saddle River, NJ: Pearson Prentice Hall, 2007. 2. "A.1. Sauce Derives Its Name From Utterance of a King." Metropolitan News-Enterprise 18 Nov 2004 15. 13 Apr 2007 . 3. "Vision and Values." Kraft Foods. 10 Apr 2007. Kraft Foods International. 10 Apr 2007 . Goodyear Tire and Rubber Company Case Analysis The research on Goodyear Tire and Rubber Company gives us a clean picture as to why sometimes one has to keep on constantly