Represents a Survey Study Made Essay

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Interval variables

Frequency distribution

Agecat

Category Percent

18-24-5%

25-34-25%

35-49-30%

50-64-25%

64+ 15%

As one may observe, most respondents in this study are in the 35-49 and in the 50-64 age groups. The least respondents are in the 18-24%.

Ordinal variables

Frequency distribution

Dept results show that the clothing department is preferred by 25% of respondents, followed by the electronics department with 18%. Payment results reveal that 35% of customers prefer to pay with their credit cards, while 52% prefer to pay with cash. Regarding the prices in these stores, 26% have a somewhat negative opinion, 18% have a strongly negative opinion, while 42% have a neutral opinion.

Categorical variables

Frequency distribution

Gender: 63% of customers are female, and 37% are male.

Regular: 38% stated that they shop several times a week, and 35% said they shop once a week.

Reason1: 26% of respondents said they prefer these stores because of their promotional campaigns, and 38% said they have other reasons for shopping there.

Reason2: 32% said that an important reason for shopping there is represented by the prices, 18% selected the convenience reason, while 25% selected other reasons.

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Followup: most respondents selected the e-mail variant.

Inferential statistics

The t-test is one of the most used statistical methods. Its main objective is to identify whether the means of two groups are statistically different from each other (Trochim, 2006). In this case, the t-test must determine whether men are more likely to travel longer distances to go to the store than women are.

The results of the t-test reveal that although a small percentage of men is more likely to travel a longer distance to go to a store in comparison with women, the difference is not significant.

Another hypothesis proved with the use of the t-test is represented by the fact that regular customers have a neutral opinion on the prices of the products in these stores.

Reference list:

1. Jacobsen, M. (2010). Complementary Research Methods. University of Calgary. Retrieved January 29, 2011.

2. Trochim, W. (2006). The T-Test. Knowledge Base. Retrieved January 29, 2011 from http://www.socialresearchmethods.net/kb/stat_t.php.

3. Trochim, W. (2006). Descriptive Statistics. Knowledge Base. Retrieved January 29, 2011….....

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