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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Organization of Terms Experimental Design Descriptive Inferential Population Parameter Sample Random Bias Statistic Types of Variables Graphs Measurement scales Nominal Ordinal Interval Ratio Qualitative Quantitative Independent Dependent Bar Graph Histogram Box plot Scatterplot Measures of Center Spread Shape Mean Median Mode Range Variance Standard deviation Skewness Kurtosis Tests of Association Inference Correlation Regression Slope y-intercept
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universally. The scale is chosen depending on the information that the data is intending to represent. The four scales of measurement of data are nominal‚ ordinal‚ interval‚ and ratio. Each plays a different‚ yet very important role in the world of statistic a) Nominal scale Is the lowest level in scales of measurement? Is a way of grouping behavior‚ where actual numbers are simply labels or identifiers. -they do not put subjects in any particular order: no logical basis for the answers in each
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TO STATISTICS Session 4 – Measures of Dispersion‚ Variance and Standard Deviation Instructor: Manos Takas Email: m.takas@cityu.gr Range Look at these two sets of data: 2‚ 3‚ 4‚ 5‚ 6 3‚2‚3‚5‚13 -3‚2‚3‚5‚13 They both have a mean of 4. However‚ you can see that the first data set (21 is more spread out than the second data set. The mean doesn’t tell you this. _ To represent the data more accurately‚ you need the mean plus a measure of the spread or dispersion of the data. One simple measure of dispersion
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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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and many comedies. One comedy he wrote was the play Measure for Measure. It can be argued that because of the deep gloom and moral concerns underlying this play‚ Measure for Measure can be considered a problem play. Many questions are raised in the play about justice and mortality and these questions also lead the reader to think why the play was named Measure for Measure and not something else. There are many ways the title Measure for Measure‚ by William Shakespeare‚ can be interpreted such as:
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Princess Faye N. Balatero Grade 8-Br. Edmund Hubert FSC Introduction: Statistics are used everywhere; we see statistics in use every day; statistics is used to answer important and practical questions. Statistics are useful in almost all disciplines. They are used in statistical analysis of results of an experiment‚ prediction of future values‚ growth and trend analysis‚ systematic presentation of data in the form of tables‚ diagrams and
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Business Analytics: Unit 1: Descriptive Statistics and Mathematical Foundations Kaplan University March 23‚ 2014 Descriptive Statistics and Mathematical Foundations Part I: Pie Chart & Bar Graph This information regards T-100 Domestic Market’s boarding information during the previous year for the top seven airlines in the United Sates. According to the data Southwest Airlines boarded 81.1 million; Delta Airlines‚ 79.4 million; American Airlines‚ 72.6 million; United Airlines‚ 56.3 million;
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fact that they either contribute to success or they inhibit success. As such‚ these variables are of a nominal category. Nominal categories could be further classified; for instance‚ among the success drivers are product selection‚ website characteristics‚ product pricing‚ and trust element. Accordingly‚ we can order these variables in terms of their impact for instance‚ we may observe from the body of research that the trust element has more weight than product selection in contributing to success
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Statistics is the study of the collection‚ organization‚ analysis‚ interpretation‚ and presentation of data.[1][2] It deals with all aspects of this‚ including the planning of data collection in terms of the design of surveys and experiments. In mathematics‚ a graph is a representation of a set of objects where some pairs of the objects are connected by links. The interconnected objects are represented by mathematical abstractions called vertices‚ and the links that connect some pairs of vertices
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