# Why Is It Important to Complement Intuition with Systematic Study

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Why Is It Important to Complement Intuition with Systematic Study
l method

For the proposed analytical method we used SPSS Student Version 17.0 for Windows. This program helped us to rearrange and organize the data we gathered from the survey. Furthermore it allowed us to analyze and interpret the data into expressive information. With the aid of SPSS we find scale data such as frequencies, mode, median, range, variance and standard deviation. In addition cross tabulations, descriptive analysis techniques and inferential analysis techniques

4.0 RESEARCH FINDINGS

4.1 Outline of Survey respondents

70 questionnaires were distributed among the general public to collect information based on a research carried out by us at 3MS consultancy. The survey was distributed in food corners and supermarkets. The sample of respondents to carry on the survey was selected randomly because of time constrain. Our questionnaire was made for individuals at any age irrespective of the income. The analysis of the questionnaire caused in the following information about the respondents’ demographic characteristic

5.0 DESCRIPTIVE ANALYSIS

According to Crossman (n.d.), Descriptive statistics includes statistical procedures that we use to describe the population we are studying. The data could be collected from either a sample or a population, but the results help us organize and describe data. Descriptive statistics can only be used to describe the group that is being studied. That is, the results cannot be generalized to any larger group. Inferential statistics is concerned with making predictions or inferences about a population from observations and analyses of a sample. That is, we can take the results of an analysis using a sample and can generalize it to the larger population that the sample represents. In order to do this, however, it is imperative that the sample is representative of the group to which it is being generalized. Both descriptive and inferential techniques vary by the scale inherent in the variable or variables

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