. Population arithmetic mean ‐ The population arithmetic mean‚ µ‚ is computed using all the individuals in a population and is a parameter. Sample arithmetic mean ‐ The sample arithmetic mean‚ x ‚ is computed using sample data and is a statistic. Mean – Although other types of means exist‚ the arithmetic mean is generally referred to as the mean. Median ‐ The median of a variable is the value that lies in the middle of the data when arranged in ascending order. Resistant ‐ A
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A statistics practitioner took a random sample of 50 observations from a population with a standard deviation of 25 and computed the sample mean to be 100. a.Use an interval estimate to estimate the population mean with 90% confidence.[mu-1.64*SD/√n‚mu+1.64*SD/√n] [100-1.64*25/√50‚100+1.64*25/√50][94.2017‚105.7983]-90% Confidence b.95% confidence. [mu-1.96*SD/√n‚mu+1.96*SD/√n] [100-1.96*25/√50‚100+1.96*25/√50][93.0704‚106.9296]-95% Confidence c.99% confidence. [mu-2.57*SD/√n‚mu+2.57*SD/√n] [100-2
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Statistics should be interpreted with caution as they can be misleading; they can both lie and tell the truth.Discuss. AS we all known that statistics plays a very important role in the social development. People use statistics in each field of science‚ such as physical sciences‚ humanities‚ especially the biological sciences. Statistics as a series of methods which used to summarize or describe our observations tell the person who made the statistics relative objective results or truth‚ at the
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hypothesis. It represents researcher’s claim about the population parameters. This will be accepted only when data provides sufficient evidence to establish its truth. 3. Test Statistic - A sample statistic (often a formula) that is used to decide whether to reject H0 . 4. Rejection Region- It consists of all values of the test statistic for which H0 is rejected. This rejection region is selected in such a way that the probability of rejecting true H0 is equal to α (a small number usually 0.05). The value
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STATISTICS AND DECISION-MAKING IN HRM (word count 1155) The word statistics has a Latin origin where the word status means state. Statistics is defined as the science that helps us understand how to collect‚ organize and interpret numbers or other information (data) about some topic (Bennett‚ et al.‚ 2003). It is a discipline of data collection and summarizing to aid understanding and decision-making. It is also concerned with evaluation of the present status and predicting the future (Stockberger
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Final Project: Nyke Shoe Company Barbara Greczyn STA 201 - Principles of Statistics Instructor Alok Dihtal April 26‚ 2015 Introduction Nyke Shoe Company has been in business for over 50 years. Over the last five years‚ the company has been undergoing some financial hardship due to an erratic market and an inability to understand what the consumer actually needs. In a last ditch effort to avoid bankruptcy‚ they have adopted a new business model which entails the development of only one
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Validity- does the variable accurately reflect the phenomenon you are trying to measure. Reliability- does the indicator consistently assign the same number. Cross-sectional data- no time/multiple entries. Panel data set- multiple entries/over time. Time series-one entry/time. Population: the total set of items or people that a researcher is interested in studying. Sample: a subset of the population- random or nonrandom. Goal is to be representative of population.Criteria for evaluating causal relationships
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The Community Tool Box Our Mission Promoting community health and development by connecting people‚ ideas and resources English | Español Search the CTB Table of Contents | Do the Work | Solve a Problem | Use Promising Approaches | Connect with Others Workstation Sign-In Services Share on printShare on emailShare on facebookShare on favoritesShare on googleShare on twitterMore Sharing Services433 Table of Contents Chapter 37. Some Operations in Evaluating Community Intervent... >
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variable “HrsTV.” Comment on the shape of the distribution. d) Show descriptive statistics on the variable “HrsNews” for all age groups. Use the optional “By Variables” box; enter “AgeGrp” in the box. Comment on the results. Make sure to compare the distributions across age group commenting on central tendency and variability. 2. Use the data set SEASONALSALES.MTW. a) Show descriptive statistics for the variable “Daily Sales” for each season. Use the optional “By Variables” box;
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is‚ does the average cycle length under these conditions differ significantly from the 24 hours?) (a) Use the steps of hypothesis testing. (b) Sketch the distributions involved. (c) Explain your answer to someone who has never taken a course in statistics. Solution: (a) Use the steps of hypothesis testing. Size of sample‚ n = 8 Degree of freedom = n-1 = 8-1 = 7 Sum of sample = i=1∑n=8xi = (25+27+25+23+24+25+26+25) = 200 | Time (in Hours) | Sum | Mean(xm) | (xi- xm)2 | Standard Deviation
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