Simple random sample

* Audience selection – in the face to face interview selection of audience type is very important. In face to face you select only interested audience that can provide useful information. So, it’s like selecting only sample of people and interviewing them. * Questionaries’ selection – In a face to face interview we uses only selected type of questions , those are directly related to the subject. This type of selection makes the process more productive. * Presence

concise, including the characteristics, which can affect the interpretation of the data. Within the population we have the sample, the procedures of which need to be clear and concise as well, including all relevant information. If the data is clustered or stratified, as opposed to random samples, we must include that information as it will affect interval estimates. Sample size can be critical to the results of a study, to it is important

undergraduates. However, the correct answer is (b). Since a simple random sample of about 3% of Ohio State is about (0.03 x 40,00) = 1,200, it has a larger sample than the (0.03 x 2,000) = 60 undergraduates that make up the simple random sample of about 3% of the undergraduates at Johns Hopkin, meaning Ohio State has smaller variability. Thus, the estimate from Johns Hopkins has more sampling variability than that from Ohio State since it has a smaller sample of 60 undergraduates, making

of 4, this constituted a p value of 2.101644 x 10-26. With an alpha level of .01, the null hypothesis was rejected. The study sought to determine the nature of current events knowledge for teenagers and prove that knowledge level was limited. Samples were taken from four high schools, but analyzed as one set of data. Through a chi squared statistical test, it was determined that knowledge level varied at a statistically significant level between questions. If knowledge level was independent of

perceptions on political articles by Manheru. The research will not be generalised, data will be gathered from the editor, sub editor and the readers. Although the descriptive research has a disadvantage, that is, it has a tendency to look deceptively simple and select data which may be relevant (Best ad Khan; 1993). A research methodology or paradigm can also be viewed

Participants: For my research question, I will have to find a sample out of the population who had body modifications to be participants of my research. Participants that I wish to seek include people who voluntarily got a body modification to change their physical appearance. I would like to sample females and males from ages starting at 18. Although my target population is people who have body modifications, I want a variety of participants ranging from people with and without body modifications

LOM 5300 Statistical Analysis for Business Decisions Multiple Choice Questions Chapter 1 1. In a questionnaire, respondents are asked to mark their gender as male or female. Gender is an example of the a. ordinal scale. b. nominal scale. c. ratio scale. d. interval scale. ANS: b 2. The scale of measurement that is used to rank order the observation for a variable is called the a. ratio scale. b. ordinal scale. c. nominal scale. d. interval scale. ANS: b 3. Some hotels ask their guests to

of the sample used. 2.0 Introduction This research sets out to helping Wood Development to identify various factors determining the setting of housing prices in the southern Perlis. The objective of the study is to investigate whether variables like lot size, bedroom numbers and floor numbers can be the possible factors that determine the selling price of property.   3.0 Literature Review Many

example, simple random sampling, systematic sampling, stratified, disproportionate stratified sampling, and multistage cluster sampling (Horvitz, 1952; Thompson, 1995). Simple random sampling is the foundation to the probability theory that provides the unbiased measuring instruments that are used to establish the parameters of a geographical area, provides measure for error as well as, assurance to the intervals being correlated. Once the parameters of the sampling frame are determined, random categorizing

the distribution of x is normal. 13 The classification of student major (accounting, economics, management, marketing, other) is an example of: a. a categorical or qualitative random variable. b. a discrete random variable. c. a continuous random variable. d. a parameter. e. a scatter plot 14 In the simple linear regression model, the slope represents the: a. average change in x per unit change in y b. value of y when x = 0 c. value of x when y = 0.. d. average change in y per unit