Role Play Paper Liberty University Abstract The client‚ a 29-year old male‚ seek for clinical evaluation and counselling due to having persistent thoughts about having a bad body odor despite confirmation from family members that he does not smell bad. These thoughts have been present for more than 6 months. Due to his problem‚ the client takes a bath and applies cologne more frequently than the usual. The thoughts have also often made him worry and get anxious
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Normal(88.532‚5.07943) Normal(97.1033‚5.04488) Normal(107.15‚5.15367) Summary Statistics Mean 88.532 Std Dev 5.0794269 Std Err Mean 0.2271589 Upper 95% Mean 88.978306 Lower 95% Mean 88.085694 N 500 Sum 44266 Summary Statistics Mean 97.103333 Std Dev 5.0448811 Std Err Mean 0.2912663 Upper 95% Mean 97.676525 Lower 95% Mean 96.530142 N 300 Sum 29131 Summary Statistics Mean 107.15 Std Dev 5.1536687 Std Err Mean
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s |COLLEGE OF THE BAHAMAS | |BUSINESS STATISTICS | |FIRST INTERM EXAM | |COURSE: STAT201
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Area of Research The research seeks to investigate the entrepreneurial success in electronic commerce. Previous research has identified several drivers and impediments to success and the study will mitigate those drivers and impediments to assist an entrepreneur in achieving success as a reseller of tangible goods. Types of Measurement In my research‚ the variables are categorized into two groups: success drivers and impediments to success. The one thing that is common in these items being
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Scatterplots 4 Pearson’s Correlation 4 Spearman’s Rho 4 Probability 4 Binomial Distribution 4 Assumptions: 5 Subjective Probability 5 Normal Distribution 5 Standard Normal Distribution 5 Sampling Distribution 5 Standard Error of Statistic 5 Central Limit Theorem 5 Area under the Sampling Distribution of the Mean 6 Sampling Distribution‚ Difference between Independent means 6 Sampling Distribution of a Linear Combination of Means 6 Sampling Distribution of Pearson’s R 7
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Statistics is the study of the collection‚ organization‚ analysis‚ interpretation and presentation of data. It deals with all aspects of data including the planning of data collection in terms of the design of surveys and experiments. Descriptive statistics is the discipline of quantitatively describing the main features of a collection of information‚ or the quantitative description itself. Descriptive statistics are distinguished from inferential statistics (or inductive statistics)‚ in that
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a) A company is interested in providing a new benefit to its employees to encourage them to utilize public transportation. To study the potential of providing this benefit‚ the company would like to do a survey of the workers at a company to gather information on why do or do not use public transportation for commuting to work. The company is about 25‚000 people in areas where public transportation is available. You also want to find out the reasons why their choice is what it is. In this case
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vital statistics of populations studied probability through games of chance‚ gambling | 18th Century | Laplace‚ Gauss | normal curve‚ regression through study of astronomy | 19th Century | Quetelet Galton | astronomer who first applied statistical analyses to human biologystudied genetic variation in humans(used regression and correlation) | 20th Century (early) | PearsonGossett (Student) Fisher | studied natural selection using correlation‚ formed first academic department of statistics‚ Biometrika
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shorter than TT Air‚ it does not significantly affect the output as the one day does not change much (unless there had been a market shock). However based on Central Limit Theorem‚ if the sample size is greater than or equal to 30 samples‚ the sample statistics reflect the time population parameters. • The Median data does not show much in this case as the range (4.7 AA Fly and 6.8 TT Air) is small for both AA Fly and TT Air. This means that the mean is more applicable to be used. • The Mode of AA
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Lecture 1. Descriptive statistics includes statistical procedures that we use to describe the population we are studying. The data could be collected from either a sample or a population‚ but the results help us organize and describe data. Descriptive statistics can only be used to describe the group that is being studying. That is‚ the results cannot be generalized to any larger group. Inferential statistics is concerned with making predictions or inferences about a population from observations
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