Satoru SHIMOKAWA‚ SOSC1100‚ Fall 2013 SOSC1100 Elementary Statistics for Social Research [Common Core (QR) for 4 year program] Fall 2013 Lectures: Wed and Fri‚ 13:30-14:50 / Rm. 4620‚ Academic Building (Lift 31-32) Course Website: http://lmes2.ust.hk INSTRUCTOR: SHIMOKAWA‚ Satoru OFFICE: 3370 Academic Building EMAIL: sosatoru@ust.hk OFFICE HOURS: Fridays‚ 3:00pm – 5:00pm TEACHING ASSISTANT: Stephen Choy OFFICE: 3001 EMAIL: choyho@ust.hk OFFICE HOURS: TBA 1. Course Description: This
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1 1. Statistics is the science of collecting‚ organizing‚ analyzing‚ interpreting‚ and presenting data. TRUE 2. Inferential statistics refers to generalizing from a sample to a population‚ estimating unknown parameters‚ drawing conclusions‚ and making decisions. TRUE 3. Descriptive statistics refers to summarizing data rather than generalizing about the population. FALSE 4. Estimating parameters and testing hypotheses are important aspects of descriptive statistics. FALSE
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Comparison of Crime Statistics Crime statistics endeavour to provide statistical measures of crime in societies. They provide a point of analysis and comparison‚ allow countries to form long-term patterns and trends and can help to develop and reform criminal justice policies as well as being more meaningful than raw numbers. Using the countries of Bahrain and the United States as a comparison point for the following issues which surround crime statistics such as biases‚ agendas and general influences
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chapter 1: STATS – STATISTICS DATA AND STATISTICAL THINKING 1.1 The science of statistics * Statistics - is the science of data. It involves collecting‚ classifying‚ summarising‚ organising‚ analysing‚ and interpreting numerical information. 1.2 types of statistical applications in business * Descriptive Statistics - describe collected data. Utilizes numerical and graphical methods to look for patterns in data‚ summarize the information in the data and to present the information in a
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Statistics – Lab #6 Statistical Concepts: * Data Simulation * Discrete Probability Distribution * Confidence Intervals Calculations for a set of variables Mean Median 3.2 3.5 4.5 5.0 3.7 4.0 3.7 3.0 3.1 3.5 3.6 3.5 3.1 3.0 3.6 3.0 3.8 4.0 2.6 2.0 4.3 4.0 3.5 3.5 3.3 3.5 4.1 4.5 4.2 5.0 2.9 2.5 3.5 4.0 3.7 3.5 3.5 3.0 3.3 4.0 Calculating Descriptive Statistics Descriptive Statistics: Mean‚ Median Variable N N* Mean SE Mean StDev Minimum
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to the external validity of a study ’s result. (Dattalo‚ 2010) Random number is spontaneous number which can be found by different methods. As an example of random numbers can be roulette in casino when you never can predict or calculate it. In statistics‚ data often chosen randomly from selected range. In Microsoft Office Excel it can be found by simple function random() or if function randbetween(min number‚max number) which allow select random number from selected range. In this assignment‚
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1. D. The chart displays the mean and standard deviations for the data set which is the best measure of central tendency and dispersion/spread respectively for interval/ratio measurement. 2. 97.12 3. The mean baseline depression score is 14.00 and the post test mean depression score for the experimental group is 13.36. This shows that the mean for depression in this group decreased. According to the statement that empowerment techniques have an important role in self management of ESRD
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Running head: [M1A BUS210] [M1A BUS210] Anthony Johnson Allied American University Author Note This paper was prepared for [Business Statistics I]‚ [M1A] taught by [John Hannon]. PART I: APPLICATION Directions: Please answer each of the following questions (responses should be at least two paragraphs in length and be written in complete sentences‚ if applicable). Show essential calculations‚ if applicable. 1. Describe the difference between a population and a sample. A population
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Descriptive Statistics and Probability Distribution Problem Sets Emily Noah QNT561 Anthony Matias December 24‚ 2012 Descriptive Statistics and Probability Distribution Problems Sets Descriptive statistics and probability distribution is two ways 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
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Applied Research and Statistics QNT561 Research and Sampling Designs Shindeera Robinson June 21‚ 2010 Chapter 8 21. What is sampling error? Could the value of the sampling error be zero? If it were zero‚ what would this mean? Sampling error is the difference between the statistic estimated from a sample and the true population statistic. While we would expect the sampling error to not be zero‚ it is not impossible. For example if you were evaluating the ethnicities of a population and everyone
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