Using the following lesson material (photos), analye and explain the following in complete det.ails

1. What is a Statistical Package for Social Science (SPSS) and what is it for?
2. What are the data from the SPSS results that must be included in your tabular presentation?
3. What are the important things that you have to do when you discuss the results of the study?
4. What conclusions can be drawn from the findings of the study?
5. What recommendations can be formulated from the findings and conclusions of the study?

Abstraction Figure 21.1. Stops In data analysis and report writing. Questions you must ask Steps you will take* Important elements of each stop What data have been colected Propane data for analysis Review held experiences for such research objective? Inventory data for each Are data complete, accurate? objectivestudy population Sort data and check quality Chock computer outputs What do the data look like? Dickribe winibles Frequency distributions Faves meir How can the dats be Crews tabulate Cross-tabulate in relation to objectives summarized for saty analysis? quantitative data Graphic display's, rumahwins Summage qualitative For quantitative data: does Determine the type of Anview objectives, study type, and each research objective aim is describe, company, of hind Statistical duesenption of wtables associations? Choosing signheaton Hosts 1. How can the data be 2. How can differences Analyze paired and Between groups be unpaired cbforvitions Paired test determined VicNemar's chi-squire test A How can the isocution "Scatter diagram between variables bu between variables *Regression line and correlation determined? GOSHcient ""Relative risk, odds ratio How should the report be White the report and formulate Prepare outline for report artillery recommendations Draft and reduft Summarize lindings Summarize conclusions for each objective Formulate recommendations Prepare atetract How should the findings and Present a summary and draff Discuss summaries with diferent recommendations by a plan for implementation of angel groups protontod and disseminated' recommendations Discuss pan for implementationSource: Varkevisser, Pathmanathan, and Brownlee (2003). Data Analysis and Report Writing Vloume II. PRESENTATION OF THE FINDINGS OF THE STUDY The Presentation of Data The analyzed data are presented either in tabular or graphical form. It is necessary to present the data in such manner to reduce data presentation in the most concise form The data are tested and analyzed using the Science Statistical Package (SPSS)- a statistical tool application commonly used in research studies.Presenting SPSS Data Results in Tabular Form (APA Format) seed on RQ1- What is the employee's demographic profile in terms of age and gender? esult gender Cumulative Frequency Percent Valid Percent Percent Valid 74 49.3 49.3 40.3 female 76 50.7 50.7 100.0 Total 150 100.0 100.0 Respondent's Demographic Profile in terms of Gender . Frequency Percentage 74 49 Sik 78 50.70 100.00 Table 1 Gender Male FemaleNote: Valid percent and Cumulative percent columns were no longer included Interpretation . Presented in Tablel is the respondent's demographic profile in terms of gender. Results showed that majority of the respondents are female with 78 counts or 50.70 percent as compared with their male counterpart with 74 counts or 49.30 percent Based on RQ 3. What is the level of consumer's perception towards online purchase and delivery in terms of speed of delivery and quality of foods?SPSS Result Descriptive Statistics Std. N Minimum Maximum Mean Deviation Speed 1 150 3.23 715 Speed 2 150 4.01 799 Speed 3 150 3.27 .833 Speed 4 150 5 4.04 853 Speed level 150 2.75 4.00 3-6817 .24083 Quality I 150 5 2.87 1.032 Quality2 150 3.91 .838 Quality3 150 3.63 .832 Quality4 150 3.76 910 Quality level 150 2.00 5.00 3.5417 .56641 Overall level 150 2.33 4.50 /3.6114 .45434 Valid N (listwise) 150 Note: Speed 1 is Item or Question I of Indicator Speed of delivery Table 3 Respondent's Overall Level of Perception towards Online Purchase Online Purchase Mean SD Description Speed 3.68 0.24 High Quality 3.54 0.57 High Overall 3.61 0.45 High Note: When using the IMR AD format in research. only the overall indicator level W/HA ha presented but the detailed table must be placed in the APPENDIX.Interpretation Shown in Table 3 is the respondent's overall level of perception towards online food purchase and delivery. Results revealed that respondents level of perception was described to be high as reflected by the overall mean score of 3.61 with atd dev =0.45 indicative that respondent's manifest extreme level of perception and exceeds expectation. The generated overall mean score was the result obtained on the mean scores of the two (2) indicators under study. It was also established that indicators speed of delivery and quality of food was described to be high with an obtained mean score of 3.68 and 3.54 respectively. The first indicator of perception towards online food purchase and delivery is speed of delivery which was described to be high. This means that respondents have extreme level of perception in this indicator and this was brought about by the high scores given on the four (4) item questionnaire which include: the foods were delivered immediately; the delivery was made quickly; the foods ordered were delivered on the expected time; and you were very much contented of the delivery time The second indicator of perception towards online food purchase and delivery work is quality of foods which was described to be high and indicative that majority of the respondents have extreme level of perception on this indicator. This was brought by the high scores on the four (4) item questionnaire which include: the food is delicious; the food packaging is clean and not messy; the food is still hot when delivered; and you are satisfied with the quality of foodSPSS Result T-Test Group Statistics Std. Error gender N Mean Std. Deviation Mean Speed Jewel male 3.1314 23743 02688 female 72 3.1944 24185 02850 Quality lexel male 78 3.5801 54875 06213 female 72 3.5000 .58593 06905 Overall, level male 3.5542 .38342 .04341 Independent Samples TestLevena's Test for Equality of Variances t-test for Equality of Means 95% Confidence Interval of the Difference Sig- Mean Std. Error F SIE t df (2tailed) Difference Difference Lower Upper Reed. Iexel Equal 738 Variances assumed 376 1.610 148 110 .063 03 .03915 .14040.01433 Equal Variances not 1.600 146.56 .110 .063 03 .03918 .14046.01440 assumed Quality. level Equal 473 Variances 493 .865 148 389 .08013 .09265 .10295 .26321 assumed Equal variances not .863 144.91 .390 .08013 .09289 .10347 .26372 assumed Overall level Equal 10.220 Variances .002 .232 148 817 .01729 07449 .12991 .16449 assumed Equal variances not 229 129 51 .819 .01729 .07540 .13185.16646 assumedNote: Go to t-test for Equality of Means and look for the values of t, sig (2 tailed), and mean difference. Use equal variances not assumed for overall level since p-value obtained 0.002 is