Inferential Statistics and Findings Erick Mart QNT/561 August 25th 2014 Mario LOPEZ Inferential Statistics and Findings Inferential Statistic is the process of drawing conclusions from data that are subject to random variation‚ for example‚ observational errors or sampling variation. Our team uses inferential statistic to compare two groups‚ which are Melks and DHL. This paper outlines the sampling and data collection procedure used to test the null hypothesis. The null and alternate hypotheses
Premium Statistical hypothesis testing Statistical inference Standard deviation
Contents Data Analysis: Analyzing Data - Inferential Statistics Inferential statistics deal with drawing conclusions and‚ in some cases‚ making predictions about the properties of a population based on information obtained from a sample. While descriptive statistics provide information about the central tendency‚ dispersion‚ skew‚ and kurtosis of data‚ inferential statistics allow making broader statements about the relationships between data. Inferential statistics are frequently used to answer cause-and-effect
Premium Statistics Regression analysis Scientific method
Inferential Statistics Drawing Conclusions based on Samples Introduction This chapter introduces how you can use data from a sample to draw conclusions about the larger population from which the sample was taken. Data often arises from the results of a survey of individuals. For example‚ the management of a fast food chain might be interested in determining the total number of dollars that Baylor students spend each year eating in Waco fast food restaurants. The fast food chain would
Premium Normal distribution Standard deviation Confidence interval
are two main branches of statistics that include descriptive statistics and inferential statistics.Descriptive statistics gives numerical measures that describes the features of a given set of data. Inferential statistics on the other hand takes a sample of a given population‚ analyses the sample‚ and from it draw conclusions about the population .Malcolm.O.Asadoorian and Demetrius Kantarelis in their book: Essentials of inferential statistics argue that descriptive statistics organize ‚ summarize and
Premium Statistics Statistical hypothesis testing Confidence interval
Introduction Learning goals ❖ What is meant by Statistics ❖ What is meant by Descriptive Statistics and Inferential Statistics ❖ Difference between Parameter & Statistic ❖ Types of Statistical Inferences What is meant by Statistics ? Statistics is the science of collecting‚ organizing‚ presenting‚ analyzing‚ and interpreting numerical data to assist in making more effective decisions. Types of Statistics Descriptive Statistics : • Methods of organizing‚ summarizing‚ and presenting
Free Sampling Sample size Sample
3ER PARCIAL Inferential statistics Sampling * The purpose of sampling is to select a set of elements (sample) from a population that we can use to estimate parameters about the population * The bigger the sampling‚ the more accurate our parameters will be. example: In the experiment of deciding if CEGL girls are smarter that CEGL boys‚ which would be your statistical hypothesis? Hypothesis testing But now‚ you already gathered information about a sample No‚ you will test if your
Premium Statistical hypothesis testing Null hypothesis Statistics
Descriptive and Inferential Statistics Statistical methods in psychology have two main branches‚ which are descriptive and inferential. They each play a major part in the data that is collected for research and other studies. This paper will show the functions of statistics‚ how descriptive and inferential statistics are defined and the relationship between the two. Statistics is a necessary tool in psychology. It provides data for research studies as well as providing background information and
Premium Statistics Scientific method Arithmetic mean
Running head: DESCRIPTIVE AND INFERENTIAL STATISTICS 1 Descriptive and Inferential Statistics DESCRIPTIVE AND INFERENTIAL STATISTICS 2 Descriptive and Inferential Statistics Descriptive and inferential statistics are incredibly similar forms of research testing within psychology. Each seeks to analyze‚ describe‚ and possibly predict a population’s behavior. As with psychology itself‚ statistical analysis within psychology began as a philosophy (Goodwin‚ 2008). This philosophy quickly
Premium Statistics Scientific method Statistical hypothesis testing
Descriptive & Inferential Statistics The study of statistics plays a significant role in each of our lives. Statistics is a method often used in every scientific field to relay important information found‚ support new theories as they are developed and keep our society aware and up to date with the issues that affect us and what type of effect they have. From a psychological standpoint statistics provides each individual with the tools necessary to understand the work of psychologists before
Premium Statistics Sociology Psychology
Descriptive Statistics is used when describing certain aspects of an immediate group within the population. For example‚ we may want to describe a math class and compare it to a class of science. Things that we may want to use for comparison would be age‚ gender‚ and even math skills. Descriptive statistics would allow us to analyze all those different areas and provide a comparison to view similarities‚ differences and ratios. Before any study is to be observed certain factors would have to be ascertained
Premium Scientific method Mathematics Class