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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The Mean and Median: Measures of Central Tendency The Mean and the Median The difference between the mean and median can be illustrated with an example. Suppose we draw a sample of five women and measure their weights. They weigh 100 pounds‚ 100 pounds‚ 130 pounds‚ 140 pounds‚ and 150 pounds. To find the median‚ we arrange the observations in order from smallest to largest value. If there is an odd number of observations‚ the median is the middle value. If there is an even number of observations
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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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Test 8A A P Statistics Name: Directions: Work on these sheets. A random digit table is attached. Part 1: Multiple Choice. Circle the letter corresponding to the best answer. 1. In a large population of college students‚ 20% of the students have experienced feelings of math anxiety. If you take a random sample of 10 students from this population‚ the probability that exactly 2 students have experienced math anxiety is (a) 0.3020 (b) 0.2634 (c) 0.20 13 (d) 0.5 (4 1 (f) None of
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Assessing T-tests To clearly identify what a t-test accomplishes in descriptive statistics it is imperative to understand what a t-test represents. A “t-test is a parametric statistical test for comparing the means of two independent samples” (Plichta & Kelvin‚ 2013‚ p. 464). Gosset developed the t-test for use in quality control at the Guinness Brewery and published his works under the pen name “Student” (Plichta & Kelvin‚ 2013). T-tests use assumptions related to the underlying
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Statistics definitions Bias-Bias is a term which refers to how far the average statistic lies from the parameter it is estimating‚ that is‚ the error which arises when estimating a quantity. Errors from chance will cancel each other out in the long run‚ those from bias will not. Primary data-Data observed or collected directly from first-hand experience. Secondary data-Published data and the data collected in the past or other parties Qualitative data-Qualitative methods are ways of collecting
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