Basic Business Statistics 11th Edition Chapter 1 Introduction and Data Collection Basic Business Statistics‚ 11e © 2009 Prentice-Hall‚ Inc. Chap 1-1 Learning Objectives In this chapter you learn: How Statistics is used in business The sources of data used in business The types of data used in business The basics of Microsoft Excel The basics of Minitab Basic Business Statistics‚ 11e © 2009 Prentice-Hall‚ Inc.. Chap 1-2 Why Learn Statistics? So you are
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without missing responses ..................................................................... 7 Section 2: Frequencies without descriptive & with missing responses ...................................... 8 Section 3: Frequencies with descriptive statistics ...................................................................... 9 Ordinal data ............................................................................................................................. 9 Interval/Ratio data ..........
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Home Work (Chapter One) 1. Define each of the following statistical terms: a. Descriptive statistics b. Statistical inference c. Population d. Sample 2. Explain whether each of the following represents a population or a sample. a. Number of goals scored by all teams of champion’s league. b. Cars owned by 200 families in Dammam. c. Monthly salaries of all employees of a company. d. Yield of tomatoes per ha for 20 plots of land. e
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Brief Introduction: AJ Davis is a department store chain‚ which has many credit customers and want to find out more information about these customers. AJ Davis has complied a sample of 50 credit customers with data selected in the following variables: Location‚ Income (in $1‚000’s)‚ Size (Number of people living in the household)‚ Years (number of years the customer has lived in the current location)‚ and Credit Balance (customers current credit card balance on the store’s credit car‚ in $)
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960 | |0.01 |2.33 |2.575 | Part A. Single-Sample Inference 1. Test Statistic for the Population Mean ((): Large Sample Test H0: ( = (0 H1: ( ( (0 Test statistic: [pic]‚ where (0 = hypothesized value of ( Note that: Sample mean = [pic] Mean of the sample mean: E([pic]) = ( Standard error of [pic] = [pic] Example
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employees (c) Preference for beverages and (d) Amount spent on drinks. This case study is used: (1) To understand the concept and practical applications of scales of measurement; (2) To discuss the implications of scales in Quantitative Methods/Statistics for Management. This case study is useful for understanding ‘measures of central tendencies •
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(That is‚ does the average cycle length under these conditions differ significantly from 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. x | | | | | | | | | | | 25 | 0 | 0 | | | | | | | | 27 | 2 | 4 | | | | | | | | 25 | 0 | 0 | | | | | | | | 23 | -2 | 4 | | | | | | | | 24 | -1 | 1 | | | | | | | | 25 | 0 | 0 | | | | | |
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increase by 0.0953 billion dollars (c) Comment on the significance of model (α = 0.05) Hypotheses: H0: β1 =0 H1 : β1 ≠ 0 Decision rule: reject H0‚ if |tcalc|> |t(α/2‚ n-k-1)| Where tcrit = t (0.025‚ 98) =1.9845 Test statistic: t = = = 48.368 Decision: Reject H0 because t calc > t crit Conclusion: There is sufficient evidence to conclude that there is significant relationship between disposable personal income and PCE at 5% level of significance. (d) The
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understandable form. The purpose of this paper is to Identify the types of statistical data collected in a workplace setting‚ including the information is collected‚ and to discuss the advantages of accurate interpretation of data. When explaining statistics in a work place a little background must first explain a little about the company. First Coast Service Option is a contracted company for Medicare. Medicare (CMS) is a federal program in the United States of America that is a health insurance program
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Population and Sampling MTH/231 August 29‚ 2012 Importance of Population and Sampling History from Political Arithmetic to Statistics The history timeline show evidence of statistical data as early as Ancient Greece time but records show statistics in late 16th century‚ when it was introduced by‚ John Graunt‚ William Petty‚ and Pascal and later in 17th century by Gottfried Achenwall. It was an exciting time when success and discoveries raised the confidence of scientists‚ physicist and astronomers
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