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An introduction to business statistics, focusing on data collection, sampling, and Slovin's formula for calculating sample sizes. It covers the importance of data collection, sources of data, types of variables, and the concept of a confidence interval. Slovin's formula is introduced as a method for determining an appropriate sample size when little is known about the population.
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ENGR. PHIL A. ZAFE, MBA
POPULATION A population consists of all the items or individuals about which you want to draw a conclusion. SAMPLE A sample is the portion of a population selected for analysis. PARAMETER A parameter is a numerical measure that describes a characteristic of a population. STATISTIC A statistic is a numerical measure that describes a characteristic of a sample Why Collect Data? A marketing research analyst needs to assess the effectiveness of a new television advertisement. A pharmaceutical manufacturer needs to determine whether a new drug is more effective than those currently in use. An operations manager wants to monitor a manufacturing process to find out whether the quality of the product being manufactured is conforming to company standards. An auditor wants to review the financial transactions of a company in order to determine whether the company is in compliance with generally accepted accounting principles. Sources of Data Primary Sources: The data collector is the one using the data for analysis Data from a political survey Data collected from an experiment Observed data Secondary Sources: The person performing data analysis is not the data collector Analyzing census data Examining data from print journals or data published on the internet. Sources of data fall into four categories Data distributed by an organization or an individual A designed experiment 1 Please read and understand this module...
ENGR. PHIL A. ZAFE, MBA A survey An observational study Types of Variables Categorical (qualitative) variables have values that can only be placed into categories, such as “yes” and “no.” Numerical (quantitative) variables have values that represent quantities. Statistics is a way of looking at a population's behavior by taking a sample. It is impossible to survey every member of a population because of money or time.
ENGR. PHIL A. ZAFE, MBA Step 1: Figure out what you want your confidence level to be. For example, you might want a confidence level of 95 percent (giving you an alpha level of 0.05), or you might need better accuracy at the 98 percent confidence level (alpha level of 0.02). Step 2. Plug your data into the formula. In this example, we’ll use a 95 percent confidence level with a population size of 1,000. n = N / (1 + N e^2 ) = 1,000 / (1 + 1000 * 0.05 2 ) = 285. Step 3: Round your answer to a whole number (because you can’t sample a fraction of a person or thing!) 285.714286 = 286 The error tolerance, e, can be given to you (for example, in a question). For example, if you wanted to be 98 percent confident that your data was going to be reflective of the entire population then: 1 – 0.98 = 0.02. e = 0.02. 4 Please read and understand this module...
ENGR. PHIL A. ZAFE, MBA Computing for Growth Rate :; Present Population – Past Population Population Growth Rate = -------------------------------------------------------- x 100 Present Population Sum of the Total Number of Samples (Population/Households) Average Population/Sample = -------------------------------------------------------------------------------------------- Number of Samples Please read and understand the module. This will be the coverage of your Prelims Exam. Keep safe and Goodluck!!! . NOTE: Uploaded filename should be SURNAME_____ Subject____Date of quiz; Sample CruzBusStat Not following instruction mean failed. No late submission. "No copying/ No cheating" if you do not want to failed. 5 Please read and understand this module...