Impact of a Data Classification Standard IT-255 unit 1 assignment 2: impact of a data classification standard Hello everyone at Richman investments‚ I was s asked to write a brief report that describes the "internal use only" data classification standard of Richman investments. I will list a few of the IT infrastructure domains that are affected by the standard and how they are affecting the domain and their security here at Richman investments. * User domain The user domain defines
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IS STANDARD COSTING OBSOLETE? Department of Accountancy University of Kelaniya What is Standard costing? Standard costing is technique which establishes predetermined estimates of the costs of products and services and then compares these predetermined costs with actual costs as they are incurred. Management Accounting 2 What is Variance? The difference between a cost’s actual amount and its budgeted or planned amount Unfavorable cost variance Actual cost > Budgeted Amount Favorable cost
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out the following Analysis on the given data. 1. Frequency distribution analysis for Motor Claims with Veh Group and also with Driver’s Age. 2. Calculate Average‚ Standard Deviation‚ Minimum and Maximum values of Claims. 3. Perform Descriptive Analysis using the tool: Data Analysis for Claims Data. 4. Plot a claims distribution with claim size intervals of 10000‚ 20000‚ 30000‚ 50000‚ and 100000. Comment on the analysis carried out. Guidelines: I. Claims Frequency analysis for Motor
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Boys and Hindi Girls 1 – Boys‚ 2 - Girls and 1 - English and 2 – Hindi Group Statistics | | Gender | N | Mean | Std. Deviation | Std. Error Mean | Emotional Score | Boys | 175 | 10.9829 | 3.97329 | .30035 | | Girls | 120 | 13.9750 | 5.18152 | .47301 | Independent Samples Test | | Levene’s Test for Equality of Variances | t-test for Equality of Means | | F | Sig. | t | df | Sig. (2-tailed) | Mean Difference | Std. Error Difference | 95% Confidence Interval of the Difference |
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Introduction to Basic Statistics Pat Hammett‚ Ph.D. 2005 Instructor Comments: This document contains an overview of basic probability and statistics. It also includes a practice test at the end of the document. Note: answers to the practice test questions are included in an appendix. 1 Pat Hammett University of Michigan Table of Contents 1. VARIABLES- QUALITATIVE AND QUANTITATIVE......................3 1.1 Qualitative Data (Categorical Variables or Attributes) .............
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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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Data Analysis The first question of the set of 15 questions was about the age limit of the respondents. We collected all data from the age group starting from 15years. Most of the respondents fall into the age limit of 16-25 years which is 54% of the total respondents. 18of the 50 respondents were 26-35 years of age which is 36%. [pic] [pic] Q1: your most preferable Schemes when you are Thinking about a savings account? This was the question that gives the critical information
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Time series analysis (Session – I) Commands and syntax for data analysis using STATA 1. Open and Run the STATA application • Click on the Data on the task bar and open Data editor • Copy the data from Excel sheet and paste it on the data editor • Preserve the data • Close Data Editor 2. Type “describe” in the command space- Software will show the description of the data set. 3. Graphs i) To Draw a scatter plot of variables
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Question 1. (Descriptive Statistics) Investment Returns: These data are the annual returns on shareholders’ funds of 97 of Australian’s top 100 companies for the years 1990 and 1998. (i) Produce a histogram of the 1990 returns. (ii) Produce a histogram of the 1998 returns. (iii) Find the mean‚ median‚ range and standard deviation for the 1990 returns. Annual Returns % (1990) Mean 12.91865979 Median 11.38 Standard Deviation 9.297513067 Range 75.01 (iv) Repeat part (iii) for
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Standard Deviation Abstract QRB/501 Standard Deviation Abstract Standard Deviations Are Not Perverse Purpose: The purpose of this article is to illustrate how using statistical data‚ such as standard deviation‚ can help a cattleman choose the best lot of calf’s at auction. The statistical data used in these decision making processes can also help the cattleman with future analysis of the lots purchased and existing stock. Research Question: How can understanding the standard deviation
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