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    Knowing Your Audience BCOM/278 June 17‚ 2013 Knowing your audience is one of the most important factors when communicating to an audience. When communicating to an audience some things to considerate is the type of people you are talking to and if they’re ill‚ young‚ old‚ corporate or the media. Once you know your audience then you can come up with the appropriate way to communicate with them. The potential needs of the family members of the miners receiving

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    Statistics Cheat Sheet

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    Statistics Cheat Sheet Proportion = Frequency x 100 = Percentage Total No | Z score (standardised value)-how many sds from the mean the value liesZ score = data value – mean Standard deviation | Metric Data = ExploreCategory = Frequencies | Bigger sample size will give a narrower confidence interval range (more specific) outliers affect the mean but not the median – this is why the median is preferred here.mean | | Reports -Only give confidence

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    those customers who use their tooth paste. The following results were observed. Adults Children Sample Size 100 200 Number with 0 cavities 83 165 Based on these sample data and using a significance level of 0.05‚ what

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    Marine Habitat Destruction Anita Rouse SCI/275 07/24/2010 Jean-Paul Simjouw‚ PhD Marine habitats are in grave danger due to humans and Mother Nature. Hurricanes‚ typhoons‚ storm surges‚ and tsunamis are factors in which contributes to the destruction of marine habitats and are caused by Mother Nature. Human’s destruction to these habitats is much worse due to the fact that Mother Nature’s destruction is mostly temporary‚ while humans leave more of a lasting footprint on the habitats because

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    Supply Chain Design Paper QNT/571 February 25‚ 2015 For this week’s assignment‚ Learning Team A was assigned the task of reviewing Riordan Manufacturing‚ Inc.‚ a virtual organization wholly owned by Riordan Industries. This company produces plastics for customers all over the world. Our team will cover the manufacturing strategy‚ performance methods‚ supplier relationship‚ and lean production. Lastly‚ our team has developed a future sales forecasting plan for Riordan as well as an aggregate

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    Statistics Chi Square

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    of the Hypotheses H0: 2  25 (claim) Ha: 2 > 25 (one-tailed right) II. Level of Significance and Critical Value  = 0.05 d.f. = 20 -1 = 19 c.v.: 30.144 III. Decision Rule: Reject Ho if 2 value is > 30.144‚ otherwise‚ do not reject Ho. IV. Test Statistics (n  1) s 2 (20  1)(36) 2    27.36 2 V. Decision  25 Do not reject Ho‚ since 27.36 < 30.144. There is enough evidence to support the claim that the sugar content of the yogurt is less than or equal to 25 mg/oz. BUSSTAT prepared by CSANDIEGO

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    Knowing Your Audience Brad Hoopes University of Phoenix March 24‚ 2013 BCOM 275 Ontario‚ CA Knowing Your Audience Several years ago on August 5‚ 2010 a tragic event occurred in a Chilean copper mine resulting

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    SUMMER-2015 Get solved assignments at nominal price of Rs.120 each. Mail us at: subjects4u@gmail.com or contact at 09882243490 Master of Business Administration- MBA Semester 1 MB0040–Statistics for Management-4 Credits (Book ID: B1731) Assignment (60 Marks) Note: Answer all questions (with 300 to 400 words each) must be written within 6-8 pages. Each Question carries 10 marks 6 X 10=60 Q1. Distinguish between Classification and Tabulation. Explain the structure and components of a Table with an

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    Exercise 18 Statistics

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    Sohal‚ S 04/05/11 (HLT-362 V) Applied Statistics for Healthcare Professionals Exercise 18 Q1. Assuming that the distribution is normal for weight relative to the ideal and 99% of the male participants scored between ( - 53.68‚ 64.64)‚where did 95% of the values for weight relative to the ideal lie? Round your answer to two decimal places. Answer: Mean of weight relative to ideal = 5.48 and Standard Deviation (σ) = 22.93. Calculation: (x bar) 1.96(σ) 5.48± 1.96(22.93) 5.48 - 1.96(22.93)

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    Statistics Exericse 29

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    EXERCISE 29 t-TEST FOR INDEPENDENT GROUPS I STATISTICAL TECHNIQUE IN REVIEW The t-test is a parametric analysis technique used to determine significant differences between the scores obtained from two groups. The t-test uses the standard deviation to estimate the standard error of the sampling distribution and examines the differences between the means of the two groups. Since the t-test is considered fairly easy to calculate‚ researchers often use it in determining differences between two groups

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