Statistics is a way to get information from data. Descriptive Statistics * Descriptive statistics deals with methods of organizing, summarizing, and presenting data in a convenient and informative way. * Graphical techniques is a form of descriptive statistics * Practitioners use graphical techniques to present data for readers to extract information in an easy way. * Numerical techniques is another form of descriptive statistics * Numerical techniques summarise data,
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Introduction Statistical analysis is extremely essential for the data analysis, which mainly is used to for examining the internal relationship among the variables. The statistical analysis includes the data descriptive analysis, hypothesis test, regression analysis and others. The descriptive analysis mainly refers to calculate the mean, median, standard deviation, skew and other indicators. T or Z hypothesis test of means or proportions can be used for examining whether the distribution can be explained
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Chapter 4 Descriptive Statistics Topics Numerical Descriptors- obtained from excel Measures of Central Tendency- calculate and interpret Measures of Dispersion- calculate and interpret Correlation and Covariance- calculate and interpret Standardized Data Outliers Chebyshev’s Theorem Empirical Rule Box Plots Chapter 4 Descriptive Statistics Page 1 Central Tendency, Dispersion, and Shape Where are values concentrated? How much do values vary? Is the distribution symmetric
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Research 31 Mar 2015 Biman Ghosh Descriptive statistics is the term given to the analysis of data that helps describe, show or summarize data in a meaningful way such that, for example, patterns might emerge from the data. Descriptive statistics do not, however, allow us to make conclusions beyond the data we have analysed or reach conclusions regarding any hypotheses we might have made. They are simply a way to describe our data. Descriptive statistics are very important because if we
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NV4602 Research Methods for Postgraduate Study Descriptive Statistics Outline of lecture Purpose of descriptive statistics Describing categorical variables Frequency analysis Describing continuous variables Summary statistics Measures of central tendency, variability and normality Normal distribution Relevant SPSS commands: Descriptives, Compare means, Histograms, Explore Next lab session lbic.navitas.com navitas.com Objectives for today Understand the importance of
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credit crunch in 2008 and there was further decline in 2009 as the UK economy was gripped with the recession. 2.Research Design and Sampling Plan Descriptive research is a type of conclusive research method which aims to build a picture, with its main objective being, to give a description of a market characteristics. In descriptive research the researcher usually has a clear idea of what is need from the research and clearly defined questions to answer, as in this case, the research objectives
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possessing certain characteristics being studied. A sample is a subset of the population. 6. a. Inferential b. Descriptive c. Descriptive d. Descriptive e. Inferential f. Inferential g. Descriptive h. Inferential 12. a. Cluster b. Systematic c. Random d. Systematic e. Stratified 17. a. Experimental b. Observational c. Observational d. Experimental 21. Statistics, which are generated from samples, can never by themselves prove anything. The only
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Descriptive and Inferential Statistics Paper PSY 315 Descriptive and Inferential Statistics Whether doing original research or conducting literature reviews, one must conclude what a powerful and versatile tool statistics are in the hands of researchers. From basic statistics such as data description, to using complex statistical methods to foresee future patterns or strengthen scientific claims about current climates, the role of statistics in research cannot be taken lightly and is essential
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Descriptive and Inferential Statistics Paper Descriptive and Inferential Statistics Paper Statistics are used for descriptive purposes, and can be helpful in understanding a large amount of information, such as crime rates. Using statistics to record and analyze information, helps to solve problems, back up the solution to the problems, and eliminate some of the guess work. In Psychology there has to be a variable or variables to be organized, measured, and expressed as quantities. Information
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that analyst, mathematicians, or statisticians use to characterize. Descriptive Statistics Descriptive statistics describe, show, or summarize data in a meaningful way and are applied to populations. An example of this is patterns. Patterns can be described as center, spread, shape, and unusual features. They enable us to show the data in a more significant way using graphs, charts, tables, or discussions of results. Descriptive statistics cannot make conclusions past the data or reach conclusions
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AJ DAVIS DEPARTMENT STORES Credit Customer Sample Analysis September 16 2013 Created by: Created for: Upper Management TABLE OF CONTENTS Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Income by Location (Bar Graph) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 Credit Balances by Income (Histogram) .
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amount of calories, just like not all cereals have the same ingredients. The contents of the cereal must affect the amount of calories that are present, specifically the sugar content. In the cereal data set we are given a sample of 75 different types of cereal. The samples of cereal are separated by their location on the self; top shelf, middle shelf, and bottom shelf. The top shelf cereals are the one that we would consider the more healthy choices, such as: Kashi Go Lean, Fiber One, and Smart
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performed a descriptive statistics as instructed. . According to Central Limit Theory (CLT), for a sampling size greater than 30, from a nationally distributed normal population, the distribution of sample mean can be used as an unbiased estimator of the population mean (Triola, M. M., & Triola, M. F., 2006 p274).Since the number of samples are greater than 30 (n=40), and an assumptions that the distribution is precise (no significant spread or outliers within the range of samples) the requirements
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assumption is probably reasonable. Knowing that a sample of 50 Heavenly chocolates transactions was chosen in the previous month’s sales , by computing the sample standard deviation and the average amount spent(Sample of mean) is to construct a 90% confidence interval estimate of the expected sales. A calculation of average Amount Spent ($) (Sample of mean) : $758.86 + $414.86 + $407.02 + $294.03 + $925.43 + $394.4 + $222.15 / 50= $68.34 Sample standard deviation formula: S
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Instruction 3. Debriefing Note 4. Protocol (2 Lists) 5. Pen 6. Macbook for recording data. Participants: A sample of nine (9) participants were selected using opportunity sampling. Opportunity sampling was done by selecting several students from the Syracuse University Project Advance Psychology Class of 2012 as well as some other students from Xaverian High School. The sample was homogenous in terms of age (mean age was 17.5) and gender. The participants were mostly from the Brooklyn part
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sampling, descriptive research, experimental research, and correlational research. The reasoning for descriptive research is to define the features of the people and to aims to determine a certain variable at a period, identify the variable’s average level quantity that is provided in a particular population (Fiske, 2010). It provides the predicted value of a specific value in an indicated population. Random sampling is when all persons have the same opportunity to be selected. A real random sample demands
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to get started with the project three 1.69 ounce bags of plain M&M’s were purchased from Shoppers, and 2 7-11’s. These bags will help with taking a sample of the population that is produced. Purchasing the bags from three different stores will help with the results of the project being meaningful because it is assured that the samples will be truly random. Random sampling is when all members of a group have an equal and independent chance of being selected. Next each individual bag
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Sample and Design Critique The purpose of this paper is to critique the design, sample and ethical issues used in the selected research studies. The article “The Experience of Patients Undergoing Awake Craniotomy” is a qualitative study. The overall purpose of the study is as Palese, Skrap, Fachin, Visioli, and Zannini, (2008) states, “Although different techniques are used, very little has been documented about how the patients feels, what they think about, or how they approach this type of surgery
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set of objects or measurements that are of interest to a decision maker 2 SETS OF TECHNIQUES IN STATS: ---DESCRIPTIVE: focused on summarizing and presenting information. Data set: the set of all observations for a given project or purpose ---INFERENTIAL: designed for making estimates or inferences about the characteristics of a population based on the info found in one or more SAMPLE: representative subsets of the population INFINITE POPULATION: not realistically possible to
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Week: 3 hours Grading Basis: Grade/Credit/No Credit Co-requisite: Current enrollment in Psych/Soc 205 Scope of Course: Use the Statistical Package for the Social Sciences (SPSS) to analyze research data. Data analysis will include descriptive statistics, inferential statistics, including nonparametric statistics. Data management, formatting, and research methodology will also be covered. Specific Course Objectives: Upon completion of the course, the student will be able to: 1.
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two different types of statistics: Descriptive statistics and Inferential statistics. “Descriptive statistics are used to describe the basic features of the data in a study. They provide simple summaries about the sample and the measures. “Together, a with simple graphics analysis, they form the basis of virtually every quantitative analysis of data” (Selecting statistics, n.d.). Inferential statistics are used to test hypotheses and make estimations using sample data. Within business decision making
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EXCEL statistical functions All EXCEL functions begin with an equal sign and all EXCEL descriptive statistical functions have at least one range of cells as its argument. Example: Numerical data is in cells C3:C209. This is the cell range. =average(C3:C209) will compute the average of all the numbers in C3:C209. The cell range in this example is C3:C209. The colon is used to denote the cell range. Univariate descriptive =average( cell range ) =geomean( cell range) =median( cell range ) =stdev( cell range
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Assignment 4: DESCRIPTIVE STATISTICS The SPSS file HOBBITDATA.SAV should be used for the following assignments. Please answer the following questions by using SPSS. You may want to begin by first examining the questionnaire. You should identify the scaling formats used for each question. Keep in mind that the scaling format will determine the type of descriptive analyses which may be conducted with each question. Once you are familiar with the questionnaire, determine which variables (survey
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bankruptcy and only 2 companies remained bankrupt for more than 6 months. Histogram of TIME A Histogram with multiple graphs can be used to show a comparison of the time-in-bankruptcy for the 3 types of prepack firms. Descriptive Statistics: TIME Stem-and-leaf of TIME N = 49 Leaf Unit = 0.10 (26) 1 00001122222344444445555679 23 2 11446799 15 3 002899 9 4 11125 4 5 24 2 6 2 7 8 1 8 1 9 1 10 1 The companies
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population: A population consists of all the members of a group about which you want to draw a conclusion What is a sample: A sample is the portion of the population selected for analysis What is a parameter: A parameter is a numerical measure that describes a characteristic of a population What is a statistic: A statistic is a numerical measure that describes a characteristic of a sample. N.B Statistics are subject to ‘sampling error’ and sampling can only provide an estimate average, so not always
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MATH201 - Assignment 1 1. Conde Nast Traveler magazine conducts an annual survey of subscribers in order to determine the best places to stay throughout the world. Table 1.6 shows a sample of nine European hotels (Cond Nast Traveler, January 2000). The price of a standard double room during the hotels high season ranges from $ (lowest price) to $$$$ (highest price). The overall score includes subscribers evaluations of each hotels rooms, service, restaurants, location/atmosphere, and public areas;
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analysis that would eventually lead to some type of presentation. There are two different types of statistics and they are descriptive and inferential. Descriptive statistics are used to state numerical information that is already known. Inferential statistics is used when making predictions or estimates based on a population or sample thereof. An example of descriptive statistics would be that according to the United States Census Bureau, in two thousand eleven Missouri population is eighty-four
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and Sexuality Pamela Clarke Psych/525 Dr. Maribeth Clarke October 28, 2013Self-Esteem and Sexuality Construct: Self-Esteem and Sexuality Operational Definition: The impact that self-esteem has on adolescents engaging in risky sexual behavior. Sample Domain: Five appropriate Concepts: Adolescents with low self-esteem engaging in risky sexual behavior Self-esteem and sexual activity differ for male and female Body image can result in risky sexual behavior Adolescents imitate risky behavior
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DESCRIPTIVE RESEARCH QUESTIONS AND DESIGNS Descriptive research is used to answer descriptive research questions: What is happening? How is something happening? Why is something happening? Examples: • What is the average age at which children learn to walk? • What is the association between birth order and social skills? • How does self esteem differ among adolescents who differ in the timing of their puberty? • Why does school climate influence student achievement? Descriptive
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findings, including relevant information on aim/hypotheses, sample, design, procedure and conclusion. | The aim, method, and findings are clearly described. There may be some lack of conciseness or clarity in a limited number of aspects. | The aim, method and findings are evident, but several aspects may lack clarity and some details may be missing. | The aim method and findings are somewhat unclear, and there are missing details (e.g., aims, sample, design, and/or procedure). | The aim, method, and findings
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