_______________ 1. Where on the normal curve are the inflection points located? Where the slope starts to drop off at. 2. What is the standard normal distribution? A standard Normal distribution is a Normal curve with a mean of 0 and a standard deviation of 1. 3. What information does the standard normal table give? The area that falls to the left of the given z-score. 4. How do you use the standard normal table (Table A) to find the area under the standard normal curve to the left of a given
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PROBABILITY AND STATISTICS APPLIED PROBABILITY AND STATISTICS DEPARTMENT OF COMPUTER SCIENCE DEPARTMENT OF COMPUTER SCIENCE STATISTICAL DISTRIBUTION STATISTICAL DISTRIBUTION SUBMITTED BY – PREETISH MISHRA (11BCE0386) NUPUR KHANNA (11BCE0254) SUBMITTED BY – PREETISH MISHRA (11BCE0386) NUPUR KHANNA (11BCE0254) SUBMITTED TO – PROFESSOR SUJATHA V. SUBMITTED TO – PROFESSOR SUJATHA V. ACKNOWLEDGEMENT
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but ideally it should be pretty close to ‘right’‚ perhaps within some specified range of the parameter • We can define this in terms of our statistic falling within some interval of values around the parameter value (as determined by our sampling distribution) • But how close is close enough? Estimation and Confidence • We can ask this question more formally: • (1) How confident can we be that a statistic falls within a certain distance of a parameter • (2) What is the probability that the parameter
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coordinator of your study centre. “Statistical unit is necessary not only for the collection of data‚ but also for the interpretation and presentation”. Explain the statement. Find the standard deviation and coefficient of skewness for the following distribution Variable 0-5 5-10 10-15 15-20 20-25 25-30 30-35 35-40 Frequency 2 5 7 13 21 16 8 3 A salesman has a 60% chance of making a sale to any one customer. The behaviour of successive customers is independent. If two customers
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the a. mean. b. median. c. geometric mean. d. mode. a 4. What level of measurement is required to determine the mode? a. at least nominal level b. at least ordinal c. at least interval level d. ratio d 5. For a symmetric distribution a. the mean is larger than the median. b. the mode is the largest value. c. the mean is smaller than the median. d. the mean and median are equal. b 6. Which of the following is not true about the arithmetic mean. a. all the values
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with the essential skills to identify and apply appropriate techniques to solve problems. Students will be exposed to concepts such as sampling techniques‚ graphical presentations‚ statistical measures‚ counting rules and classical probability distribution. Learning Outcomes of the Course On completion of the module‚ students should be able to ILO1. distinguish between population and sample; apply the different sampling techniques to select a sample; ILO2. compute central tendency measures as the
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a) Develop a ‘user friendly’ pie chart to illustrate the country distribution of the top 100 female tennis players. Briefly comment on your graph. User friendly pie chart * Slightly more than half of female players are from 7 countries‚ namely Australia‚ Czech Republic‚ France‚ Italy‚ Russia‚ Spain and United States. The remainders are from other countries. As can be seen in the graph of country distribution of the top 100 female tennis players‚ Russia have the highest proportion
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GEMA 5400 | Brunswick Distribution Inc | Case Analysis | | | | Table of Contents Introduction ………………………………………………………………..1 Executive Summary ……………………………………………………2 Application and Analysis ……………………………………………..3 Literature Review………………………………………………………….4 Conclusion……………………………………………………………………..5 Bibliography…………………………………………………………………..6 Appendix…………………………………………………………………………7 INTRODUCTION Brunswick Distribution started as a small distribution company 10 years ago when
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Dispersion • Indicates how widely the scores are dispersed around the central point (or mean.) -Standard deviation Standard Deviation. • The most commonly used method of dispersion in oral hygiene. • The larger the standard deviation‚ the wider the distribution curve. Standard Deviation • SD‚ ‚ (sigma) • Indicates how subjects differ from the average of the group/ the more they spread out‚ the larger the deviation • Based upon ALL scores‚ not just high/low or middle half • Analyzes descriptively
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CHAPTER 7—SAMPLING AND SAMPLING DISTRIBUTIONS MULTIPLE CHOICE 1. From a group of 12 students‚ we want to select a random sample of 4 students to serve on a university committee. How many different random samples of 4 students can be selected? a.|48| b.|20‚736| c.|16| d.|495| ANS: D 2. Parameters are a.|numerical characteristics of a sample| b.|numerical characteristics of a population| c.|the averages taken from a sample| d.|numerical characteristics of either a sample or a population| ANS:
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