Descriptive Statistics QNT/561 July 29‚ 2014 Descriptive Statistics Job Satisfaction Central Tendency: Mean=8.5 JDI Dispersion: Standard Deviation=1.16 JDI Number: 139 Min/Max: 7 to 10 JDI Confidence Interval: 8.36 to 8.75 JDI *JDI=Job Descriptive Index Months of Employment Central Tendency: Mean= 136.24 Months Dispersion: Standard Deviation= 117.26 Months Number: 139 Min/Max: 1 to 359 Months Confidence Interval: 116.74 to 155.73 Months Descriptive
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STATISTICS - Lab #6 Statistical Concepts: Data Simulation Discrete Probability Distribution Confidence Intervals Calculations for a set of variables Open the class survey results that were entered into the MINITAB worksheet. We want to calculate the mean for the 10 rolls of the die for each student in the class. Label the column next to die10 in the Worksheet with the word mean. Pull up Calc > Row Statistics and select the radio-button corresponding to Mean. For Input variables:
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Chapt 10 # 42 H0: game length is >= 3.5 hours Ha: game length is < 3.5 hours mean = 2.9553 stdev = 0.5596 Get the t test statistic: t = (x-mu)/(stdev/sqrt(N)) t = (2.9553-3.5)/(0.5596/sqrt(17)) t = -4.0133 Get the critical value for df = N-1 = 16‚ one tail‚ alpha is 0.05: -1.7459 Since our test statistic is much lower than the critical value‚ we reject the null hypothesis. There is enough evidence to conclude that games are shorter than 3.50 hours. Chapt 11 # 58 The amount
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chapter 1: STATS – STATISTICS DATA AND STATISTICAL THINKING 1.1 The science of statistics * Statistics - is the science of data. It involves collecting‚ classifying‚ summarising‚ organising‚ analysing‚ and interpreting numerical information. 1.2 types of statistical applications in business * Descriptive Statistics - describe collected data. Utilizes numerical and graphical methods to look for patterns in data‚ summarize the information in the data and to present the information in a
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Chapter 2 – Data 1. The news. Answers will vary. 2. Molten iron. Who – 10 crankshafts at Cleveland Casting. What – The pouring temperature (in degrees Fahrenheit) of molten iron. When – Sometime before the 1995 journal article. Where – Cleveland. Why – To ensure the pouring temperature of molten iron is close to 2550 degrees. How – Not specified. Variables – Temperature (in degrees Fahrenheit) is a quantitative variable. 3. Walking in Circles. Who – 32 volunteers. What – Sex‚ height
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1.1 For the following situation‚ indicate whether the statistical application is primarily descriptive or inferential. “The manager of Ann’s Fabric Shop has collected data for 10 years on the number of each type of dress fabric that has been sold at the store. She is interested in making a presentation that will illustrate these data effectively.” Suggested Answer: This application is primarily descriptive in nature. The owner wishes to develop a presentation. He will most likely use charts
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CGE13101 Understanding Society Through Statistical Reasoning Tutorial 3 1. A wholesale appliance distributing firm wished to study its accounts receivable for two successive months. Two independent samples of 50 accounts were selected for each of the two months. The results have been summarized below. Frequency distribution for accounts receivable Amount March Frequency April Frequency $0 - under $2‚000 $2‚000 - under $4‚000 $4‚000 - under $6‚000 $6‚000 -
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2.41 a. Number of Internet Searches Percentages A few search results 23 First page of search results 39 First two pages 19 First three pages 9 More than first three pages 10 b. Pie charts and bar graphs are two ways of representing
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Applied Research and Statistics QNT561 Research and Sampling Designs Shindeera Robinson June 21‚ 2010 Chapter 8 21. What is sampling error? Could the value of the sampling error be zero? If it were zero‚ what would this mean? Sampling error is the difference between the statistic estimated from a sample and the true population statistic. While we would expect the sampling error to not be zero‚ it is not impossible. For example if you were evaluating the ethnicities of a population and everyone
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Statistics – Lab Week 2 Name: Math221 Creating Graphs 1. Create a Pie Chart for the variable Car - 2. Create a histogram for the variable Height – 3. Create a stem and leaf chart for the variable Money – Stem-and-Leaf Display: Money Stem-and-leaf of Money N = 20 Leaf Unit = 1.0 9 0 124456667 (3) 1 249 8 2 128 5 3 03 3 4 27 1 5 2 Calculating Descriptive Statistics 4. Calculate descriptive
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