Preview

Why Is It Important to Complement Intuition with Systematic Study

Powerful Essays
Open Document
Open Document
2683 Words
Grammar
Grammar
Plagiarism
Plagiarism
Writing
Writing
Score
Score
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

You May Also Find These Documents Helpful

  • Best Essays

    Mintzberg, H., 1994. The fall and rise of strategic planning. Harvard Business Rev., 72: 107-114.…

    • 4843 Words
    • 23 Pages
    Best Essays
  • Good Essays

    a. Descriptive statistics summarizes and describe the data on cases included in the study. You are only describing what’s going on with the data from the case at hand. For example, you interviewed 100 people about which fast food restaurant had the best burger, 50 people said McDonalds, and 10 said Wendy’s, 10 said Hardy’s and 30 said Burger King. Now the obvious conclusion would be that 50% of those survived thought that McDonalds had the best burgers, this is true for this study and is a descriptive statistic. With inferential statistics, you are trying to reach conclusions that extend beyond the current data. Inferential…

    • 663 Words
    • 3 Pages
    Good Essays
  • Powerful Essays

    BUS 308 Week 5 Final Paper

    • 1142 Words
    • 4 Pages

    Descriptive statistics are typically utilized for describing the general features of the information received from a study. The results provide a brief summary of sample and measures. This type of statistics along with a simple graphic aid, creates the basis for nearly all quantitative data analysis. It is also used for presenting quantitative descriptions of data in a comprehensive and manageable form (Schlaifer, 1982). In a research study, there is a possibility of several different measures or it can be a scenario where we are able to…

    • 1142 Words
    • 4 Pages
    Powerful Essays
  • Good Essays

    Hcs/438 Dq's

    • 1323 Words
    • 6 Pages

    According to Bennett (2009), the biggest difference between descriptive and inferential statistics is that descriptive statistics "deals with describing raw data in the form of graphics and sample of statistics" and inferential statistics "deals with estimating population parameters from sample data." This means that inferential statistics would be an estimate because the data would be estimated from sample data rather than using specific data whereas descriptive statistics would be more accurate. An example of descriptive statistics would be trying to find an average of something such as a G.P.A. or your overall grade in a class. Inferential statics can be used to find the effectiveness of a new medication on a target group.…

    • 1323 Words
    • 6 Pages
    Good Essays
  • Good Essays

    E., & Youssef–Morgan, C. M. (2013), “When certain conditions prevail, the sample can be a mechanism for understanding the characteristics of the more-difficult-to-access population, which means that the descriptive statistics for samples can provide a window into the characteristics of the population. This is the domain of inferential statistical analysis.” I feel that although there are similarities between descriptive and inferential statistics. Inferential statistics are more based on the other differences within the p-value elements it implies that there are differences based on true values or the difference between those values. Inferential statistics is like the confidence interval, it being based on data collected and determining if it is…

    • 729 Words
    • 3 Pages
    Good Essays
  • Best Essays

    Qualitative research and quantitative research are two approaches that are usually used by researchers to conduct research. The concept of a ‘mixed method’ approach is to combine the two approaches together. But the concept applies to using more than one qualitative method to conduct a research since each brings a particular kind of insight to a study (Ritchie and Lewis, 2003, p38). This paper aims to examine whether the three approaches---observation, interview and questionnaire, are appropriate to conduct the food preference research and whether there is a food preference based on gender by conducting the three approaches at Sheffield Hallam University. This paper discusses the three approaches separately. In each part, this paper firstly introduces the approach, then reviews the approach the author used to conduct the research at Sheffield Hallam University and has a reflection to illustrate the problems occurred when doing research based on the theory; meanwhile discusses the advantages and disadvantages and highs the notices when conducting the method; finally demonstrates the appropriate of the three methods to conduct the research about food preference and suggests some improvements of the three approaches.…

    • 3307 Words
    • 14 Pages
    Best Essays
  • Good Essays

    Visual Data Display

    • 799 Words
    • 4 Pages

    The types of central tendency conducted in this study were the mean and median. The description of data in this study uses the five-number summary. Variables were also used to predict…

    • 799 Words
    • 4 Pages
    Good Essays
  • Good Essays

    Statistical procedures can be divided into two major categories: descriptive statistics and inferential statistics. Typically, in most research conducted on groups of people, you will use both descriptive and inferential statistics to analyse your results and draw conclusions. So what are descriptive and inferential statistics? And what are their differences?We have seen that descriptive statistics provide information about our immediate group of data. For example, we could calculate the mean and standard deviation of the exam marks for the 100 students and this could provide valuable information about this group of 100 students. Any group of data like this, which includes all the data you are interested in, is called a population. A population can be small or large, as long as it includes all the data you are interested in. For example, if you were only interested in the exam marks of 100 students, the 100 students would represent your population. Descriptive statistics are applied to populations, and the properties of populations, like the mean or standard deviation, are called parameters as they represent the whole population (i.e., everybody you are interested in).Often, however, you do not have access to the whole population you are interested in investigating, but only a limited number of data instead. For example, you might be interested in the exam marks of all students in the UK. It is not feasible to measure all exam marks of all students in the whole of the UK so you have to measure a smaller sample of students (e.g., 100 students), which are used to represent the larger population of all UK students. Properties of samples, such as the mean or standard deviation, are not called parameters, but statistics. Inferential statistics are techniques that allow us to use these samples to make generalizations about the populations from which the samples were…

    • 1007 Words
    • 5 Pages
    Good Essays
  • Good Essays

    The study of statistics plays a significant role in each of our lives. Statistics is a method often used in every scientific field to relay important information found, support new theories as they are developed and keep our society aware and up to date with the issues that affect us and what type of effect they have. From a psychological standpoint statistics provides each individual with the tools necessary to understand the work of psychologists before us and aides in the way we report what we find so that it is useful to those that will supersede. The concept of statistics is divided into two major branches of statistical methods known as descriptive and inferential statistics. To comprehend the study as a whole statisticians recommend individuals began focusing on descriptive statistics because it provides a better understanding and smooth transition into inferential. According to descriptive statistics are commonly used to summarize or describe a group of numbers in a research study while inferential takes the idea a step further to draw conclusions and make suggestions according to the numbers in the study however providing…

    • 880 Words
    • 4 Pages
    Good Essays
  • Good Essays

    Statistics is defined as the science of data. It involves collecting, classifying, summarizing, organizing, analyzing, and interpreting numerical information. (McClave, Benson, & Sincich, 2011, p. 3). . There are two different application process involved in statistics; descriptive and inferential. Descriptive statistics is the analysis that helps describe, summarize or show data in a way to allow patterns to emerge from the data. This can be captured numerically or graphically. Inferential statistics require the statistician to reach conclusions in way that extends beyond the immediate data alone, to draw an inference of the data.…

    • 335 Words
    • 2 Pages
    Good Essays
  • Powerful Essays

    Statistics

    • 1581 Words
    • 7 Pages

    Inferential statistics uses observations of past occurrences or available data i.e. descriptive statistics to make decisions about future possibilities and/or the nature of the entire body of data. Inferential statistics draws conclusions or makes interpretations, predictions and inferences about a population based upon an analysis of a sample.…

    • 1581 Words
    • 7 Pages
    Powerful Essays
  • Good Essays

    Definition Statistics - science of collecting, organizing, summarizing and analyzing information to draw conclusion or answer questions. - Provides a measure of confidence in any conclusion Population - the collection of all of the people or objects that one considers Individual - a single person of object of the population Sample - a subject of the population (a group of individual of the population) Descriptive statistics - describes data through numerical summaries,tables and graphs Example…

    • 724 Words
    • 3 Pages
    Good Essays
  • Good Essays

    Defined as quantitatively describing the main features of a collection of information. Descriptive analysis are distinguished from inferential analysis (or inductive analysis), in that descriptive analysis aim to summarize a sample, rather than use the data to learn about the population that the sample of data is thought to represent. Two types of descriptive measures are:…

    • 684 Words
    • 3 Pages
    Good Essays
  • Good Essays

    Meaning Of Statistics

    • 496 Words
    • 2 Pages

    Inferential statistics deal with procedures for making inferences about the characteristics that describes the population from the knowledge derived from the sample.…

    • 496 Words
    • 2 Pages
    Good Essays
  • Better Essays

    Ready to Eat Foods

    • 2264 Words
    • 10 Pages

    up Maslow's hierarchy of needs pyramid from satisfying basic physiological needs. Rapid demographic and socioeconomic changes, such as the massive entrance of women into the workforce and increasing multiethnicity, are fundamental drivers of food- buying and dietary patterns. This has led to the entry of Ready -To-Eat category of Food products. Ready to use food products are those which are prepared in advance and that which can be consumed as it is purchased. The shelf life of such products will be less than 18 months. The present study tries to identify the important factors that determine the buying behavior of Ready-To-Eat food. This study also analyses how the behavior of the customers is getting diffused from an innovative product like Ready-To-Eat Food. The results of the study shows that the consumers are more positively inclined towards Ready-To-Eat Food Products and this is mainly due to the convenience factor and changes in the lifestyle of the people.…

    • 2264 Words
    • 10 Pages
    Better Essays