Eulogio “Amang” Rodriguez Institute of Science and Technology Nagtahan‚ Sampaloc‚ Manila College of Education Doctor of Education Major: EDUCATIONAL MANAGEMENT Subject: Seminar in Project Development‚ Industrial Planning Design‚ Implementation and Evaluation Professor: Dr. Elidio T. Acibar Reporter: Evelyn L. Embate Topic: Sampling SAMPLING Measuring a small portion of something and then making a general statement about the whole thing. Advantages of sampling Sampling makes possible
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Population Sample Descriptive Statistic Inferential Statistics Parameter vs Statistics Variable a. Categorical Statistic estimates Parameter b. Quantitative estimates ‚ sample mean ‚ population i. Discrete mean s‚ sample standard estimates ‚ population ii. Continuous deviation standard deviation Random Variable estimates P‚ population ˆ p ‚ sample Sampling Distributions proportion proportion Parameter (Defines a population) Statistic (calculated from sample to estimate
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from the health system (Makowski‚ Anna Christin and Christopher Kofahl 2014). The study took the sample in Hamburg by interviewing the Turkish people‚ face to face. The sample is almost evenly distributed by gender and the people have been chosen in two ways. The first method was by the doctor’s offices and the second one by word of mouth. The research stated that in this way they took a more random sample. The final number from 294 possible candidates‚ 108 participants were part of the program. The
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Our Research Proposal Topic:Newspaper reading habits 1) Problem Definition: -What is the purpose of the study? Our purpose is to find out the number of students who prefer newspapers in our college campus. -How much is already known? So far there is no data collected on this topic. But the reason behind choosing this topic is to know how many people prefer newspapers over any other source of news related information such as magazines‚ journals‚ internet
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these formulas assume simple random sampling. * Sample mean = x = ( Σ xi ) / n * Sample standard deviation = s = sqrt [ Σ ( xi - x )2 / ( n - 1 ) ] * Sample variance = s2 = Σ ( xi - x )2 / ( n - 1 ) * Variance of sample proportion = sp2 = pq / (n - 1) * Pooled sample proportion = p = (p1 * n1 + p2 * n2) / (n1 + n2) * Pooled sample standard deviation = sp = sqrt [ (n1 - 1) * s12 + (n2 - 1) * s22 ] / (n1 + n2 - 2) ] * Sample correlation coefficient = r = [ 1 / (n - 1) ] * Σ
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Inferential Statistics Drawing Conclusions based on Samples Introduction This chapter introduces how you can use data from a sample to draw conclusions about the larger population from which the sample was taken. Data often arises from the results of a survey of individuals. For example‚ the management of a fast food chain might be interested in determining the total number of dollars that Baylor students spend each year eating in Waco fast food restaurants. The fast food chain would
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6.14 Show that for a sample of n = 39‚ the smallest and largest Z values are – 1.96 and + 1.96‚ and the middle (i.e.‚ 20th) Z value is 0.00. 6.19 The data in the file spending represent the per-capita spending‚ in thousands of dollars‚ for each state in 2004. Decide whether the data appear to be approximately normally distributed by A. Comparing data characteristics to theoretical properties. B. Constructing a normal probability plot. 7.1. For a population containing N=902 individuals what code number
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Statistical Results Statistic Current Model New Model Sample Mean 270.275 267.500 Standard Error 1.3840 1.5648 Standard Deviation 8.7530 9.8969 Sample Size 40 40 Confidence Level (95%) 2.62 3.14 Degrees of freedom 39 39 t = 1.33 Comparisons 1. A two tail hypothesis test was conducted based on the sample studies of 40 current and 40 new golf balls. The testing was performed with a machine designed to hit the ball the same every time. Both samples were tested with the same machine to ensure consistent
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(you can check this value in Uma Sekaran’s book‚ page 433 in fourth edition of the book. Such normal distribution table is generally given at the end of the most of the intermediate level statistics books). This implies that the probability that the sample mean is two standard deviation away from true mean value is about 0.046. 2. Correlation between two datasets. Let {xi}i and {yi}i be two datasets each having n elements. Pearson’s correlation coefficient‚r‚ is given by the following formula:
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greater mean than the second batch? 2. A sample of 8 independent observations provides the following: 3.6 3.9 3.8 4.5 4.9 4.2 4.4 3.8 Can you conclude at 5% level of significance that the mean is below 5? 3. A house cleaning service claims that they can clean a four bedroom house in less than 2 hours. A sample of n = 16 houses is taken and the sample mean is found to be 1.97 hours and the sample standard deviation is found to be 0.1 hours. (i)
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