µlow ≠ µmedium ≠ µhigh Analysis 1. All Sales | Inside | | Outside | | | | | | | | Mean | 64925 | Mean | 59289 | Mean | 70562 | Standard Error | 989 | Standard Error | 1115 | Standard Error | 1276 | Median | 61490 | Median | 56407 | Median | 69000 | Mode | 53464 | Mode | 53464 | Mode | #N/A | Standard Deviation | 10839 | Standard Deviation | 8639 | Standard Deviation | 9884 | Sample Variance | 117476832 | Sample Variance | 74634297 | Sample Variance | 97692326
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the lower boundary to the upper boundary). When question says “give a reason to justify the use of a histogram to represent these data” The answer is “Data is continuous”. Box-Whisker Diagrams: Main features & uses of Box Plots: Indicates max / median / min / upper quartile/ lower quartile. Indicates outliers. Illustrates skewness Allows comparisons Indicates range / Interquartile range / spread Mathematical Modelling in Statistics: A mathematical model is a simplification
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ASSIGNMENT 1- BU1007 Question 1 (i) The following data represent the cost of electricity during July 2006 for a random sample of 50 one-bedroom apartment in a large city Electricity Charge ($) | 96 | 157 | 141 | 95 | 108 | 171 | 185 | 149 | 163 | 119 | 202 | 90 | 206 | 150 | 183 | 178 | 116 | 175 | 154 | 151 | 147 | 172 | 123 | 130 | 114 | 102 | 111 | 128 | 143 | 135 | 153 | 148 | 144 | 187 | 191 | 197 | 213 | 168 | 166 | 137 | 127 | 130 | 109 | 139 | 129 | 82 | 165
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199.9 201.1 199.7 200.2 200.5 200.2 199.7 200.9 200.2 199.5 200.6 200.3 199.8 Using the given Data we arrive at the following measures mentioned below: Summary measures for selected variables Coke Count 50.000 Mean 200.118 Median 200.150 Standard deviation 0.419 Minimum 199.200 Maximum 201.100 Range 1.900 First quartile 199.825 Third quartile 200.400 Interquartile range 0.575 Skewness 0.037 1st percentile 199.249 90th percentile 200.600 95th percentile
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then divided this total by the number of data sets‚ 30. 29 divided by 30‚ equals 0.96‚ which I rounded up to 1.) Median: The average (median) number of daily visitor traffic is 3 0 |0 |1 |1 |1 |1 |1 |1 |1 |1 |2 |2 |2 |3 |3 |3 |3 |4 |4 |4 |4 |4 |4 |4 |5 |5 |5 |6 |6 |7 | |(Values arranged in ascending order‚ 3 is the value in the middle of the series) The average (median) number of daily sales is 1 0 |0 |0 |0 |0 |0 |0 |0 |0 |0 |0 |0 |0 |0 |1 |1 |1 |1 |1 |2 |2 |2 |2 |2 |2 |2 |2 |2 |3
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Nominative Married filing separately Single Head of household Qualifying window(er) 3.3 Calculate the mean‚ median‚ and mode for each of the following populations of numbers; a. 9‚ 8‚ 10‚ 10‚ 12‚ 6‚ 11‚ 12‚ 8 Mean u= 9 + 8 + 10 + 10 + 12 + 6 + 11 + 12 + 8 = 86 = 9.555555555555556 9 9 Median 6 8 8 10 10 11 12 12 = (10 + 10)/2 = 10 Mode 6 8 8 10 10 11 12 12 = 10 because this is multimodal and 10 is in the center
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Century National Bank The following case will appear in subsequent review sections. Assume that you work in the Planning Department of the Century National Bank and report to Ms. Lamberg. You will need to do some data analysis and prepare a short written report. Remember‚ Mr. Selig is the president of the bank‚ so you will want to ensure that your report is complete and accurate. A copy of data appears in Appendix N. (EXCEL) Century National Bank has offices in several cities in the Midwest
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Case 12-04 Hemo-Tech Inc. Part I Hemo-Tech Inc. (“Hemo”) manufactures and sells specialized medical equipment and services to physicians and hospitals. The equipment is used to extract and store blood samples from patients. Hemo is currently marketing its latest equipment model‚ BIO-07‚ which includes Hemo’s new patented technology that significantly improves sample collection efficiency and reduces contamination risk to a low level. Hemo is the only company in the United States that sells this type
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to find information with certain data giving. In Descriptive statistics the data can give a mode‚ mean‚ median‚ and range by the numerical information‚ which is giving to find the information. In probability distribution the data is collected and this is the way to determine the outcome of the information. Descriptive Statistics In descriptive statistics this is where the mean‚ mode‚ median‚ and range can be found of different number to find the center of the information and to find the information
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Analyzing and Interpreting Data Team X QNT/351 Analyzing and Interpreting Data The ultimate goal of descriptive statistics is to describe a set of data‚ identify patterns‚ and draw a conclusion‚ which enables an organization to make effective and informed decisions (McClave‚ Benson‚ & Sincich‚ 2011). The company‚ Ballard Integrated Managed Services (BIMS)‚ a support services company will leverage statistics to gather information on the company’s employees to analyze and identify patterns
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