The paper "Introduction of Coffee Drink in Prague" is an excellent example of a research proposal on statistics. The main aim of the research is to determine the reaction of the residence of Prague on the introduction of coffee drink to the region. Study design The study design shall be descriptive and cross-sectional which shall be carried out in the Prague area. The study shall employ the descriptive and cross-sectional study design because they involve establishing information concerning knowledge, attitude and the practice of the people of Prague towards coffee drink.
The major advantage of using this sturdy design is because; descriptive sturdy design helps to determine and reports the way things are and fully describes the behavior, values, attitudes, and characteristics of the community. While the cross-sectional study design helps in ensuring that an adequate population is reached. Study Area The study is to be carried in Prague. Prague is a region that has different people of cultures, taboos, and religion. It provides a good sample population since they shall provide different and genuine results that are not biased. Study population The study population is focused on both genders above 12 years of age, and residing in the Prague area.
Before the interview begins, permission shall be obtained from the local area administrator and the respondent will be explained to the importance of the research in the area, afterward, their consent is obtained. Inclusion ad exclusion criteria Inclusion criteria All men and women above 12 years of age All men and women above 12 years consenting to participate All men and women above 12 years present in Prague during the study period Exclusion criteria All men and women outside the study area All men and women above 12 years with no consent to participate in the study All men and women above 12 years absent during the study period Sampling technique and sample size Sampling technique The respondent is selected in Prague using a systematic random sampling technique Sample size Yamane’ s formula is to be used to calculate the sample size.
This is in accordance with Israel in 2006, a simplified method that can be used to calculate proportions.
The formula has also been used in a number of studies involving a known finite population. The formula is: n- The sample size N- The population, which will be given by 10% of the men and women of Prague e- The desired level of precision e- Level of acceptable error = 0.05 My target group has a total of 1200000 people, therefore, = 120000 Hence, my study population is 120000 My sample population is; N= 120000 e = 0.05 n= =398 n= 398 which is my sample size. Pre-testing The questionnaire that is made is to be pretested in a particular area, by giving 20nmen and women to fill.
It will help to test the efficiency and the effectiveness of the questionnaire to collect the required data during the actual study to meet the objectives. Adjustments shall be done to ensure the volatility and reliability of the data during the actual study. Data management and analysis The data gathered will be processed in a stepwise approach, that be shall start by data cleaning to ensure all incomplete questionnaires are not analyzed. The completed questionnaires are coded for easy handling.
The coded data is entered in the computer as a back up to the hard copy. Data analysis is done by the use of SPSS and Microsoft office excel. The quantitative data is presented and displayed by the use of graphs representation in the form of tables, bar graphs and pie-charts(Associate & Onwuegbuzie 2010, P. 11).