STUDY ON “A STUDY ON THE CONSUMER PERCEPTION REGARDING THE SUCCESS OF BIG BAZAAR” [pic] ACKNOWLEDGEMENT One of the most pleasant parts of preparing the project is the opportunity to thank those who have contributed to its preparation. The list of expression of thanks – no matter how extensive is always incomplete and inadequate. These acknowledgements are no exception. First of all we would like to thank our mentor Miss Deepti For her unflagging patience‚ and knowledge which has proved
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Why we need to do M&E Feedback mechanism (what works and what does not) Informing stakeholders Project Cycle Assessment and planning- implementation and monitoring- evaluation- adaption Outcome Monitoring (Impact Evaluation) vs. Process Monitoring (Implementation Evaluation) Monitoring Strategy Comparisons- comparing results of our project to some benchmarks: Comparing a group impacted by our project to itself (over time) Comparing a group impacted by our project to a group not impacted
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Procedures There are many sampling procedures that have been developed to make sure that a sample really represents the target population. Simple Random Sampling In simple random sampling‚ every individual in the target population has an equal chance of being part of the sample. This requires two steps: 1. Obtain a complete list of the population. 2. Randomly select individuals from that list for the sample. In a study where the unit of analysis is the student‚ the researcher must obtain a
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hypothesis test for each sample at the .01 level of significance and determine what action‚ if any‚ should be taken. Provide the test statistic and the p-value for each test. At 0.01 level of significance │Zᾳ/2 │ = 2.58 Reject Ho when │Z│> │Zᾳ/2 │ Sample 1 Sample 2 Sample 3 Sample 4 SAMPLE MEAN 11.958 12.028 11.889 12.081 POPULATION MEAN 12 12 12 12 SAMPLE STANDARD DEVIATION 0.22 0.22 0.20 0.20 SAMPLE SIZE 30 30 30 30 Z -1.028 0.712 -2.935 2.161 RESULT ACCEPT ACCEPT REJECT ACCEPT Sample 3 is the only one
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author is that a presented interval brackets the true value in the population. With everyone measured‚ the true value would be known‚ unless of course there were measurement or calculation errors. When the true value in a population is estimated with a sample of persons‚ things get more complicated. Rather then just the mean or proportion‚ we need to derive the standard error for the variable of interest‚ used to construct a confidence interval. This chapter will focus on simple random sampling or persons
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calculations wrong‚ if a random sample of 36 customer transactions gives a mean sample of $160? State your null and alternative hypotheses. 4. A random sample is obtained from a population with variance ‚ and the sample mean is computed. Test the null hypothesis versus the alternative hypothesis with . compute the critical value ̅ and state your decision rule for the following options: a) Sample size b) Sample size c) Sample size d) Sample size 5. A random sample of is obtained from a population
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margin of error? –What was the sample size? -What sampling design was used? –What was the response rate? –What was the frame that was used? -Who paid for the survey? –From the sample that was selected‚ what was the population? Ch. 7 Pr. 17 For each of the following three populations‚ indicate what the sampling distribution for samples of 25 would consist of: a. Travel expense vouchers for a university in an academic year. -The sampling distribution of a sample means is the distribution of means
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for the Population Proportion‚ p Determining the Required Sample Size Copyright ©2012 Pearson Education Chap 8-2 Introduction Copyright ©2012 Pearson Education Estimation is the process of estimating the value of a parameter from information obtained from a sample. Chap 8-3 Point and Interval Estimates A point estimate is a specific numerical value of a parameter. The best point estimate of the population mean is the sample mean. Copyright ©2012 Pearson Education An interval estimate
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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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