DATA ANALYSIS Case Study Example | Topics and Well Written Essays - 2500 words

DATA ANALYSIS - Case Study prototypenal Median 4 Percentile 3 6 28 Gender 20 nominated flair 1 - Table 2 shows the variables whose measures were changed as there were coding errors in them. The variable name is shown unitedly with the question number, the correct measure and the change that was made. The reason for the change is also provided. Name Question step Changes Reason for change Tvprogram 4 Nominal Changed from scale to nominal tag error Surfnet 7 Nominal Changed from scale to nominal cryptanalytics error Location 10 ordinal number number Changed from scale to ordinal cryptograph error Distance 10 no. Changed from scale to ordinal Coding error Wine 10 Ordinal Changed from nominal to ordinal Coding error Chef 10 Ordinal Changed from scale to ordinal Coding error Waitstaff 10 Ordinal Changed from scale to ordinal Coding error Unique 10 Ordinal Changed from nominal to ordinal Coding error Local 10 Ordinal Changed from nominal to ordinal Coding error Attractive 10 Ord inal Changed from scale to ordinal Coding error Music 10 Ordinal Changed from scale to ordinal Coding error Parking 10 Ordinal Changed from nominal to ordinal Coding error Birthyear 13 Scale (Ratio) Changed from nominal to scale Coding error Income 19 Ordinal Changed from nominal to ordinal Coding error Question 2 Gender Differences in Monthly luncheon or Dinner Spending This regard examines whether male and female differ in their periodical blow overing on lunch or dinner at restaurants. In order to achieve this, the following shot was tested using Independent-Samples T-Test H0 There are no significant differences by grammatical gender in monthly expenditures on lunch or dinner at restaurants. H1 There are significant differences by gender in monthly expenditures on lunch or dinner at restaurants The results show that female (M = $ 169.99, SD = $ 86.79) played out much than male (M = $ 148.34, SD = $ 93.27) on lunch or dinner at restaurants monthly. The Levenes Test for comp arison of Variances was statistically significant for average monthly expenditure (p .05). Therefore, the null hypothesis is rejected in spare of alternative hypothesis. These results support the claim by Chef Gatson that men and women are different in terms of the bill they spend, on a monthly basis, on lunch or dinner at restaurant. Therefore, female spend more than male on lunch and dinner in restaurants on a monthly basis. The study recommends that Chef Gaston should focus on having lunch and dinner packages that will attract more female clients to the restaurant. Since they spend more