Using SPSS for Survey Data Analysis

SPSS is a statistical program used to explore and analyze raw data to extract actionable insights from it. It provides a friendly user interface that enables businesses and researchers to understand data better and solve complex business and research problems with advanced mathematical formulas and procedures. SPSS is easy to use by information scientists of all skill levels, which makes it one of the most popular programs in data analysis today.

39 people or 21.3% of respondents ranked Arby’s as the most desirable place to eat.

62 people or 33.9% of respondents rated Burger King as the most desirable.

Burger King was rated the most desirable by most people. Wendy’s was rated the least desirable by most people.

 Frequency Percent Valid Percent Cumulative Percent

Valid least desirable 42 22.8 23.0 23.0

 4th most desirable 47 25.5 25.7 48.6

 3rd most desirable 39 21.2 21.3 69.9

 2nd most desirable 37 20.1 20.2 90.2

 Most Desirable 18 9.8 9.8 100.0

 Total 183 99.5 100.0

Missing System 1 .5

Total 184 100.0

The average frequency of eating out was 3.0007 times a week.

Descriptive Statistics

Descriptive Statistics

 N Minimum Maximum Mean Std. Deviation

How often do you eat out? 184 .00 10.00 3.0007 1.72520

Valid N (listwise) 184

Descriptive Statistics

 N Min Max Mean Std. Deviation

Prefer fast food rather than eat at home 182 1 5 2.76 1.327

Eat fast food because no time to cook 182 1 5 3.70 1.190

Fast food is cheap 183 1 5 3.15 1.305

Advertising influences decision 183 1 5 2.50 1.190

Price is important 182 1 5 3.53 1.264

Location is important 183 1 5 3.64 1.094

Cleanliness is important 183 1 5 4.06 .872

Food Quality is important 183 1 5 3.83 1.007

Service is important 183 1 5 3.81 .882

Menu variety is important 182 1 5 3.34 1.143

Valid N (listwise) 179

Cleanliness has the highest agreement, with a mean of 4.06, while preferring fast food rather than eat at home had the lowest mean, at 2.76.

Cleanliness has the least variability of responses, at 0.872, while preferring fast food rather than eat at home has the highest variability at 1.327

Descriptive Statistics

 N Minimum Maximum Mean Std. Deviation

Eat at Arby's 184 .00 75.00 17.8533 16.84501

Eat at Burger King 184 .00 75.00 18.8967 16.04213

Eat at McDonald's 183 .00 80.00 14.1803 14.74640

Eat at Sonic 184 .00 60.00 15.5870 15.24492

Eat at Wendy's 184 .00 60.00 13.6685 12.86729

Eat at Other Fast food locations 184 .00 100.00 19.0217 16.00442

Valid N (listwise) 183

Burger King has the highest for Q5 and is equal to 18.8967%.

Descriptive Statistics

 N Minimum Maximum Mean Std. Deviation

Customer service at Arby's 176 -3.00 3.00 .9545 1.55955

Customer service at Burger King 183 -3.00 3.00 1.2022 1.52546

Customer service at McDonald's 182 -3.00 3.00 .8022 1.70290

Customer service at Sonic 181 -3.00 3.00 .5414 1.67488

Customer service at Wendy's 180 -3.00 3.00 .7667 1.62419

Valid N (listwise) 171

Burger King has the highest average customer service, which is equal to 1.2022, while Sonic has the least average customer service. The largest variability in the rating of customer service was observed for McDonald’s, equal to 1.70290, while Burger King has the least variability in customer service rating, at 1.52546.

Question 1 records the number of times the respondent eats out at a fast-food restaurant and Question 2 has the data about money spent at fast-food restaurants, as a percentage of total money spent at restaurants.

Group Statistics

 Gender N Mean Std. Deviation Std. Error Mean

How often do you eat out? Female 84 2.6349 1.40537 .15334

 Male 98 3.3398 1.91299 .19324

Percent of dining out dollars spent at fast foods Female 84 45.57 23.186 2.530

 Male 98 49.41 22.912 2.314

The female respondents in the sample reported eating out an average of 2.6349 times a week, with a sample standard deviation of 1.40537, while the male respondents ate out more, averaging 3.3398 times a week, with a sample standard deviation of 1.91299.

Coming to the percent of dining out dollars spent on fast food, the female respondents spent 45.57% of their dining-out dollars on fast food options, with a sample standard deviation of 23.186 percent, while the male respondents spent 49.41% on fast food options, with a smaller standard deviation of 22.912%

We want to further investigate whether the gender of the respondent plays a role in the frequency of eating out or the percentage of dining dollars spent on fast foods, we run an independent samples t-test to determine that.

Independent Test

 Levene's Test t-test for Equality of Means

 F Sig. t df Sig. (2-tailed) Mean Difference Std. Error Difference 95% CI of the Difference

        Lower Upper

How often do you eat out? Equal variances assumed 3.988 .047 -2.792 180 .006 -.70491 .25246 -1.20307 -.20676

 Equal variances not assumed -2.858 176.043 .005 -.70491 .24669 -1.19176 -.21807

Percent of dining out dollars spent at fast foods Equal variances assumed .061 .805 -1.120 180 .264 -3.837 3.426 -10.596 2.923

 Equal variances not assumed -1.119 175.117 .265 -3.837 3.429 -10.604 2.930

The independent samples t-test conducted to test whether gender impacts the frequency of eating out, yields a test statistic of -2.792, df = 180, p-value = 0.006 < 0.05. At a 5% significance level, we reject the hypothesis that the frequency of eating out is the same for both genders. Men eat out more frequently than women

The independent samples t-test conducted to test whether gender impacts the percent of dining out dollars spent at fast-food restaurants, yields a test statistic of -1.120, df = 180, p-value = 0.264 > 0.05. At the 5% significance level, we fail to reject the hypothesis that the average percent of dining out dollars spent at fast-food restaurants is the same for both genders.

In this question, we test whether age played a role in the frequency of eating out and the percent of dining out dollars spent at fast-food restaurants

Descriptives

 N Mean Std. Deviation Std. Error 95% CI for Mean Min Max

     Lower Bound Upper Bound

How often do you eat out? Under 20 31 3.3387 2.13849 .38408 2.5543 4.1231 .50 10.00

 20-29 49 2.5408 1.34178 .19168 2.1554 2.9262 .00 7.00

 30-39 38 3.0263 1.19655 .19411 2.6330 3.4196 .50 6.00

 40-49 31 3.2742 1.25724 .22581 2.8130 3.7354 .50 6.00

 50+ 33 3.0797 2.51377 .43759 2.1884 3.9710 .00 10.00

 Total 182 3.0007 1.73152 .12835 2.7475 3.2540 .00 10.00

Percent of dining out dollars spent at fast foods Under 20 31 61.29 16.430 2.951 55.26 67.32 25 90

 20-29 49 37.41 20.088 2.870 31.64 43.18 0 80

 30-39 38 42.39 16.320 2.648 37.03 47.76 10 80

 40-49 31 54.26 19.042 3.420 47.27 61.24 10 80

 50+ 33 49.21 32.653 5.684 37.63 60.79 0 100

 Total 182 47.53 22.995 1.705 44.16 50.89 0 100

The frequency of eating out was lowest for those in the age group 20-29 at 2.5408 and the highest for those below the age of 20 years, at 3.3387 times a week.

Comparing the percent of dining out dollars spent at fast foods, the highest percentage is for those under 20 years of age, at 61.29%, and the lowest for those in the age group 20-29.

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Analysis of Variance

 Sum of Squares df Mean Square F Sig.

How often do you eat out? Between Groups 16.455 4 4.114 1.384 .241

 Within Groups 526.214 177 2.973

 Total 542.669 181

Percent of dining out dollars spent at fast foods Between Groups 13388.609 4 3347.152 7.197 .000

 Within Groups 82320.753 177 465.089

 Total 95709.363 181

The ANOVA was conducted to determine whether age played a role in the frequency of eating out, and the percent of dining out dollars spent at fast foods. For frequency of eating out, the test statistic, F(4, 177) = 1.384, p-value = 0.241 > 0.05. Therefore, at a 5% significance level, we fail to reject the null hypothesis that age doesn’t impact the frequency of eating out.

For percent of dining out dollars spent at fast foods, the test statistic, F(4, 177) = 7.197, p-value < 0.001 < 0.05. Therefore, at a 5% significance level, we reject the null hypothesis that age doesn’t impact the frequency of eating out.

Means plot of the average frequency of eating out for different age groups.

Means plot of average percent of dining out dollars spent on fast foods for different age groups.

Q12)

Comparing the percent of dining out dollars spent at fast foods, the highest percentage is for those under 20 years of age, and the lowest for those in the age group 20-29.

Descriptives

 N Mean Std. Deviation Std. Error 95% CI for Mean Min Max

     Lower Bound Upper Bound

How often do you eat out? $0-24,999 41 2.8659 1.41873 .22157 2.4180 3.3137 .50 7.00

 $25,000-49,999 39 3.4487 2.27340 .36404 2.7118 4.1857 1.00 10.00

 $50,000-74,999 44 3.1023 1.60152 .24144 2.6154 3.5892 .00 7.00

 $75,000+ 58 2.7522 1.57201 .20641 2.3389 3.1656 .00 8.00

 Total 182 3.0117 1.72829 .12811 2.7589 3.2645 .00 10.00

Percent of dining out dollars spent at fast foods $0-24,999 41 51.46 17.792 2.779 45.85 57.08 20 80

 $25,000-49,999 39 54.64 26.514 4.246 46.05 63.24 10 100

 $50,000-74,999 44 44.45 23.563 3.552 37.29 51.62 0 90

 $75,000+ 58 42.47 22.360 2.936 36.59 48.34 0 80

 Total 182 47.58 23.061 1.709 44.21 50.96 0 100

The mean and standard deviation of the frequency of eating out and percent of dining out dollars spent on fast food for each income group is shown in the table above. The income group $25,000 - $49,999 has the highest frequency of eating out and the highest percent of dining out dollars spent at fast-food restaurants.

We use the ANOVA to figure out if income has an impact on the frequency of eating out and percent of dining out dollars spent on fast food for each income group.

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