Statistics Essays

Sort By:
  • Good Essays

    Descriptive Statistics

    • 779 Words
    • 4 Pages

    8.10 Descriptive 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 with simple graphics analysis, they form the basis of virtually every quantitative analysis of data. Descriptive statistics are typically distinguished from inferential statistics. With descriptive statistics you are simply describing what is or what the data shows. With inferential statistics, you are trying to

    • 779 Words
    • 4 Pages
    Good Essays
  • Good Essays

    Descriptive Statistics So as to comprehend the key contrasts amongst descriptive and inferential statistics, and also know when to utilize them, you should first comprehend what each sort of statistics does, and what it is utilized to break down. Descriptive statistics is a type of investigation that causes you by depicting, abridging, or indicating information seriously. A case of descriptive statistics would be finding an example that originates from the information you 've taken. The confinement

    • 1009 Words
    • 5 Pages
    Good Essays
  • Powerful Essays

    0 (a statistical software tool) in order to generate a comprehensive analysis of the study which is discussed in this chapter. This chapter mainly consists with descriptive statistics and inferential statistics. Under inferential statistics, reliability analysis and a logistic regression has been done. Descriptive statistics are used to represent analyzed data in a meaningful and a clear way. 4.2 Reliability Test. Reliability analysis for this research allowed studying the properties of measurements

    • 793 Words
    • 4 Pages
    Powerful Essays
  • Powerful Essays

    AP Statistics Questions

    • 3183 Words
    • 13 Pages

    Paige Stapleton AP Statistics Summer Assignment Chapter 1: Exploring Data 1.1 Displaying Distributions with Graphs 1. In statistics, what is meant by individuals? In statistics, individuals are the objects described by a set of data. Individuals may be people, animals, or things. 2. In statistics, what is meant by a variable? In statistics, a variable is any characteristic of an individual. 3. What is meant by exploratory data analysis? Exploratory data analysis is a way of examining data by using

    • 3183 Words
    • 13 Pages
    Powerful Essays
  • Better Essays

    Statistics Assignment Seven This paper will use inferential statistics to test two different research questions. There will be two different types of statistical test that will be used. The first statistical test will be a Chi-Square for independence and the second test will be a Person r test. Both test will have the seven hypotheses testing steps explained, descriptive discussion of the variables, possible errors and critique of research methods and implications for research and nursing practice

    • 1320 Words
    • 6 Pages
    Better Essays
  • Satisfactory Essays

    PSY 350: Experimental Psychology Statistics planning worksheet 1. What is your conceptual IV? That is, what thing do you want to change for participants because you think it will affect an outcome? If you have more than one IV, answer this question for each IV separately. The conceptual independent variable is the emotions of the participants during the experiment. 2. How will you operationalize your IV? (i.e., how will you create different conditions that expose people to different levels

    • 412 Words
    • 2 Pages
    Satisfactory Essays
  • Powerful Essays

    Baseball statistics have gotten increasingly complicated over time. Once upon a time, people primarily used counting stats like RBIs, home runs and stolen bases. Some of the most complicated statistics were stats like batting average, fielding percentage and ERA basically requiring little more math than average division. Then, there were statistics like FIP, wOBA and WAR. These are difficult to calculate but are reasonably simple to understand. A higher wOBA and WAR is better than a lower one. Now

    • 1233 Words
    • 5 Pages
    Powerful Essays
  • Good Essays

    come across statistics, whether about football stats or school ratings for your children and wonder how these numbers are developed? Statistics is the method of gathering, arranging, and explaining the data presented. It retrieves information from a study of a large quantity and presents facts, which can make things clear and understandable for the average person. When statistics are used for specific reasons they can be identified as descriptive statistics or inferential statistics. This course

    • 1005 Words
    • 5 Pages
    Good Essays
  • Good Essays

    Gang Violence Statistics

    • 2714 Words
    • 11 Pages

    violence statistics indicate that are down slightly from previous years, but continue to rise since the early part of the decade. According to gang violence statistics, about 60,000 gang-related arrests have been made throughout the past ten years. Gang violence statistics reveal that gang violence among teens and adults is still a growing problem with about 7,184 gang-related arrests being made in 2010 alone followed by about 3,176 convictions throughout the

    • 2714 Words
    • 11 Pages
    Good Essays
  • Satisfactory Essays

    Week Two Reflective Assignment Mary Carnahan QN 320: Essential Statistical Thinking July 20, 2016   Week Two What I learned this week in “Data Description, Probability, and Counting Rules” Chapter three “Descriptive Analysis and Presentation of Bivariate Data” Bivariate data are values with the two different variables that are from the same population element. Linear Correlation is an analysis who measures the strength of a linear relationship between two variables. Linear Regression

    • 314 Words
    • 2 Pages
    Satisfactory Essays
  • Good Essays

    Psy 315 Week 3 Study

    • 676 Words
    • 3 Pages

    Week 3 Practice Problems 1. The class handout cites 3 basic purposes for studying statistics: data reduction, inference, and identification of relationships. In your own words, describe these three ideas in a couple of sentences each. Why do we study statistics? We study statistics for 3 reasons below: Data Reduction: Transforming the digital information into simple form. Inference: Making a meaningful conclusion based on the data is Inference in simple words. To minimize the duplicate data and

    • 676 Words
    • 3 Pages
    Good Essays
  • Good Essays

    historical data to foresee the result, activity, behavior and trends. Statistics is branch of mathematics, mainly concerns about collection, analysis, interpretation and presentation of tons of numerical facts. Statistics is used in almost every field of research. Head to Head Comparisons Predictive Analytics Statistics Definition Predictive analytics is branch of the data analytics to predict the future events. Statistics in simpler terms is collection of numerical facts. It is the science

    • 1005 Words
    • 5 Pages
    Good Essays
  • Good Essays

    1. Discuss the major disadvantages of the Uniform crime report as a source of crime. What do you understand by the term “dark figure of crime”? The Uniform Crime Report has been the primary source of official crime statistic since 1930; participation of this program is voluntary, furthermore all agencies do not participate. The Uniform Crime Report, report crimes to the nation’s police and sheriff’s departments. They separate crime into two categories: Part I Offenses, where four violent crimes

    • 1018 Words
    • 5 Pages
    Good Essays
  • Good Essays

    Bmd Study Questions

    • 647 Words
    • 3 Pages

    history of fracture. Nominal data is information that contain two or more categories, however there is no numerical ordering in the values. 2. What statistics were calculated to describe body mass index (BMI) in this study? Were these appropriate? Provide a rationale for your answer. The statistics calculated to describe the BMI in the study was the t statistic. This was appropriate because there were two different sample standard deviations for two samples, plus no population standard deviation. 3. Were

    • 647 Words
    • 3 Pages
    Good Essays
  • Good Essays

    1.Multicollinearity The classical linear regression model assumes the explanatory variables are not correlated with one another. However, this assumption is hard to hold in practice. Multicollinearity, is used to describe the problem that the explanatory variables are very highly correlated with each other. When applying Econometrics, the main purpose is to separate each explanatory’s biased influence on the explained variable. The exist of multicollinearity would destroy the system, so that we

    • 972 Words
    • 4 Pages
    Good Essays
  • Powerful Essays

    statistics (Goldstein, 2011; Gay, 2010; Snijders & Bosker, 2012). There are two types of statistical operations to which research data can be subjected for making of appropriate inferences about the population from the sample. They are parametric statistics and nonparametric statistics. It must be reiterated emphatically that of these two, the parametric statistics is incomparably more powerful, sensitive, appropriate, accurate and suitably desirable classically. A more powerful statistical test

    • 2120 Words
    • 9 Pages
    Powerful Essays
  • Good Essays

    A low standard deviation means they are close on either side of the mean. This essay will explain what standard deviation is and the importance it plays in statistics. The standard deviation is commonly used throughout statistics, but lacks the attention it often time deserves. The mean and median are often the common sight of statistics but they are rarely accompanied by the explanation of how diverse the data set was, which causes you to miss the most interesting part. Without standard deviation

    • 539 Words
    • 3 Pages
    Good Essays
  • Better Essays

    with data from the past. This studies known as Predictive Analytics. Predictive analytics combine methods from machine learning, data mining and statistics to find meaning or pattern from a huge volume of data. Tom H Davenport, a senior advisor at Deloitte Analytics has broken down three primer models on doing predictive analytics: the data, statistics, and assumptions. The first model is by using data. We must make sure the data that we use is good and accurate. For example, when you want to predict

    • 942 Words
    • 4 Pages
    Better Essays
  • Better Essays

    Empire State Survey

    • 1230 Words
    • 5 Pages

    (1) Describe an interesting applied statistics problem that you have worked on. The project I am currently working on -- Empire State Pool is an interesting applied statistics project. The Empire State Poll (ESP) is the first of its kind annual general survey of adults, age 18 and over, who are residents of New York State. The Empire State Poll is conducted by the Cornell University’s Survey Research Institute in the spring of each year. The first ESP was conducted in 2003. The objective is to

    • 1230 Words
    • 5 Pages
    Better Essays
  • Good Essays

    of factors and indicators increase (Chumney, 2012; Lowry & Gaskin, 2014). Although, PLS is known to be a robust method when above-mentioned conditions are satisfied, its main weakness is originally it does not provide the overall goodness of fit statistic for theory testing and confirmation. Therefore, a global measure of model fit is not possible to be given by PLS estimation (J. F. Hair Jr et al., 2010; Hair et al., 2011; Tenenhaus, Vinzi, Chatelin, & Lauro,

    • 821 Words
    • 4 Pages
    Good Essays