Statistics as a discipline is the development and application of methods, and a collection of mathematical techniques that help to collect, analyze, interpret, and present data. Modern statistical methods involve associated tasks such as the designing and analyzing of experiments and surveys, the quantification of biological, social and scientific phenomenon and the application of statistical principles to understand more about the world around us. Statistics can also imply a second meaning, which
Words: 604 - Pages: 3
Into Lecture 1 What is Statistics? One of the tools to understand information is “Statistics”. Example 1: Suppose you are at the grocery store and wish to buy a frozen pizza. One of the pizza makers has a stand, and they offer a small wedge of their pizza. After sampling the pizza, you decide whether to purchase the pizza or not. In this example, you make a decision and select a course of action based on a sample. Example 2: On a national level, a candidate for the office of a Chief Minister of Lahore
Words: 1340 - Pages: 6
Statistics in the Workplace Statistics is used every day in the workplace, and most of us do not even realize we are using statistics yet it aids every company in making improvements. Working in health care and having minimal knowledge of statistics it is easier to see statistics assists in virtually every area for showing areas that need or have improved. Descriptive and Inferential statistics are two types utilized in the workplace and statistics uses four different levels of measurement. The
Words: 813 - Pages: 4
“Inferential Statistics, Hypothesis Testing” Marketing Research MAHFOUD SOUKAINA Supervised by: Dr. Kim Chung Friday, April 16th, 2010 TABLE OF CONTENTS I. Introduction: Marketing Research 4 1) Marketing Research 4 2) The Marketing Research process 4 II- Body 1: Litterature Review 6 1) Inferential Statistics 6 a) Dummy Variables 7 b) Experimental Analysis 7 2) Normal Distribution 8 Figure 1: A normal
Words: 3983 - Pages: 16
pop. Parameter: A descriptive measure of population Statistic: A descriptive measure of a sample “A politician is running for office of mayor in a city w/ 25,000 voters. In survey, 48% of the 200 voters that were interviewed say they will vote for her.” Pop: voters, Sample: 200 voters, Parameter/Statistic: Statistic Descriptive vs. Inferential Stats Descriptive: Organize, Summarize, Simplify, Presentation of data describes data Inferential: Generalize from sample to pop, Hypothesis testing,
Words: 654 - Pages: 3
CLO Business Decision Making Project, Part 2 QNT/275 April 11th 2016 Knowing that is statistics data is everything. So the collection of data is very important, it comes in handy when making a conclusion, doing calculations such as range, median and modes. So the types of descriptive data that could be used to describe and summarize this particular data set. When considering the problem previously address both types of descriptive data can be used. For instance, with the My voice of the customer
Words: 1083 - Pages: 5
International Statistical Institute, 56th Session, 2007: Josefina V. Almeda Teaching Civic Welfare Training Service in the School of Statistics Almeda, Josefina V. School of Statistics University of the Philippines Diliman Magsaysay Avenue, Diliman, Quezon City, 1101 Philippines jcvalmeda@yahoo.com Civic Welfare Training Service (CWTS) is one of the three program components of the National Service Training Program (NSTP) established under Republic Act 9163. CWTS covers programs or activities that
Words: 2525 - Pages: 11
According to our website we see and treat nearly 41,000 children per year in the ED (“Cardinal Glennon”, 2015). It is truly a fascinating place to work and I learn something new every day that I am there. How Statistics are used at my Workplace: At Cardinal Glennon, there are various forms of statistics used. Like many other hospitals, the administration keeps track of numbers for all sorts of reasons. A few examples are as follows; the amount of infections that are related to central lines, how much profit
Words: 1241 - Pages: 5
police. Do these data provide sufficient evidence to contradict the NASP? a) (5 points) Conduct a hypothesis test to answer the question of interest. Use α =.05. .H_(0 ):μ=50 .H_α:u≠50 b) (2 points) Is the sample size large enough to use the inferential procedure of part a)? c) (2 points) Find the observed significance level (p-value) of the hypothesis test in part a). Interpret the value. d) (2 points) For what values of α would observed significance level be sufficient to reject the null
Words: 356 - Pages: 2
Introduction to Hypothesis Testing 8.1 8.2 8.3 8.4 8.5 CHAPTER 8 Inferential Statistics and Hypothesis Testing Four Steps to Hypothesis Testing Hypothesis Testing and Sampling Distributions Making a Decision: Types of Error Testing a Research Hypothesis: Examples Using the z Test Research in Focus: Directional Versus Nondirectional Tests Measuring the Size of an Effect: Cohen’s d Effect Size, Power, and Sample Size Additional Factors That Increase Power LEARNING OBJECTIVES After reading this
Words: 17027 - Pages: 69
