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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Boiling point of Salt Water Experiment Ex.3: For experiment 2‚ Complete steps (a)-(c) of the checklist. Experiment 2: Does the boiling point of water differ with different concentrations of salt? CheckList (a) Define the objectives of the experiment The purpose of this experiment is to determine the boiling point of water with different levels of concentration of salt. (b) Identify all sources of variation (i) Treatment factors and their levels The treatment factor in this experiment
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Extra Exercise: Estimation and Hypothesis Testing 1. The length (in millimetres) of a batch of 9 screws was selected at random from a large consignment and found to have the following information. 8.02 8.00 8.01 8.01 7.99 8.00 7.99 8.03 8.01 Construct a 95% confidence interval to estimate the true average length of the screws for the whole consignment. From a second large consignment‚ another 16 screws are selected at random and their mean and standard deviation found to be
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Statistics for Business Intelligence – Hypothesis Testing Index: 1. What is Hypothesis testing in Business Intelligence terms? 2. Define - “Statistical Hypothesis Testing” – “Inferences in Business” – and “Predictive Analysis” 3. Importance of Hypothesis Testing in Business with Examples 4. Statistical Methods to perform Hypothesis Testing in Business Intelligence 5. Identify Statistical variables required to compute Hypothesis testing. a. Correlate computing those
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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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Statistics in Business QNT/351 Statistics in Business What is statistics? Statistics is collecting‚ measuring‚ analyzing‚ and communicating data. There are two types of statistics‚ descriptive statistics and inferential statistics (Lind‚ Marchal‚ & Wathen‚ 2011). Statistics are applied in different situations. This paper will describe the role statistics has in making business decisions. This paper will also provide examples of situations in which statistics are applied
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Wildlife & Conservation Statistics Extinction of Species • Every 20 minutes‚ the world adds another 3‚500 human lives but loses one or more entire species of animal or plant life - at least 27‚000 species per year. (Source: PBS) • At the present rates of extinction‚ as many as 20% of the world’s 7-15 million species could be gone in the next 30 years. This rate of extinction has been unprecedented since the disappearance of dinosaurs 65 million years ago (Source: WWF). Habitat Destruction (Source:
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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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Descriptive statistics information Descriptive statistics organize‚ summarize‚ and communicate a group of numerical observations and describe large amounts of data in a single number or in just a few numbers Inferential statistics Use samples to draw conclusions about a population Inferential statistical use sample data to make general estimates about the larger population‚ and infer or make an intelligence guess about‚ the population Sample: a set of observations drawn from the population
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What are the characteristics of a population for which a mean/median/mode would be appropriate? Inappropriate? The analysis of data begins with descriptive statistics such as the mean‚ median‚ mode‚ range‚ standard deviation‚ variance‚ standard error of the mean‚ and confidence intervals. These statistics are used to summarize data and provide information about the sample from which the data were drawn and the accuracy with which the sample represents the population of interest. The mean‚ median
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