Retrieved from https://studentshare.org/statistics/1448711-data-analysis-portfolio-of-work-working-party
https://studentshare.org/statistics/1448711-data-analysis-portfolio-of-work-working-party.
It is at this forum where members approve the report and dividend, scrutinize the budget and make suggestion on how to improve services offered by the canteen. As part of social welfare arrangement, the canteen strives to provide a cheap alternative feeding programme to employees on duty. However, profitability is a key requirement as it a collective investment. People engage in business ventures to make profit although it is not important that you realize profit yearly (Stephen 2011). To boost sales and increase profits, the committee proposed to members to allow it starts selling hot food and open a staff shop during a working party forum held on 23rd December, 2011.
As a tradition, such new venture is subjected to research after which the members deliberate and acts on findings and recommendations of the report. To this end, the committee sought my services in conducting a survey on the proposal with core intention of finding out the opinion of workforce regarding the proposals. Besides, the study had the following objectives: To gauge the support for or against hot food and staff shop To determine appropriate time for serving hot food To determine the cost likely to be incurred by staff buying hot food To find out the preferred type of hot food and other categories To establish the time to open the shop and commodities to sell COLLECTION OF DATA The random sampling technique was used to select a representative population.
In random sampling individuals are picked from study population based on chance (Leonard and Leonard 2009). This technique ensured that each employee has an equal chance of taking part in the survey and therefore not biased. The sample was deemed to be a true representative of the population because in this method the process of coming up with a sample was based on probability and not predetermined. The employees were assigned numbers 1 to 510 according to the way the names appear in the payroll.
The numbers were keyed in online sampling software called randomizer (randomizer.org), which generated 142 unique numbers. The numbers were matched with payroll numbers to select employees who represented the other workers in the survey. The following numbers were generated by randomizer: 290, 133, 42, 201, 181, 175, 369, 431, 39, 239, 445, 2, 150, 296, 67, 8, 6, 387, 308, 167, 25, 90, 444, 408, 266, 203, 208, 292, 1, 122, 97, 284, 101, 477, 34, 92, 93, 85, 155, 457, 193, 301, 306, 396, 79, 191, 270, 246, 38, 162, 134, 354, 96, 437, 390, 264, 281, 27, 447, 209, 169, 412, 501, 194, 312, 21, 280, 195, 158, 176, 83, 46, 33, 388, 438, 410, 110, 368, 321, 50, 329, 365, 115, 434, 339, 318, 479, 17, 88, 508, 229, 61, 361, 440, 95, 156, 343, 311, 424, 382, 331, 421, 327, 124, 154, 373, 453, 187, 330, 493, 397, 200, 293, 372, 336, 119, 126, 407, 159, 47, 143, 87, 254, 89, 4, 459, 64, 15, 358, 392, 252, 225, 65, 400, 352, 462, 433, 500, 232, 30, 40, 230.
The employees corresponding to a selected number were given questionnaire to fill and then return it to Forum Representative within 7 days. Out of 142 questionnaires issued, 123 were returned to the committee. As the researcher, I scrutinized the filled questionnaires and accepted 114 to be used for analytical purpose. This number translates to 22.4% response rate corresponding to 8.1% error margin at 95% confidence level. This figure was calculated using online application (surveysystem.com) by feeding the sample size and required confidence
...Download file to see next pages Read More