1. Define inferential statistics and how researchers use inferential statistics to draw conclusions from sample data.…
| A correlation exists between sample size and the degree of confidence we can have in our results.…
The objective of the course is to assist future managers in planning, executing and evaluating their business.…
Duncan Cramer, D. H. (2004). The SAGE Dictionary of Statistics. London, England: Sage Publications. doi:: http://dx.doi.org/10.4135/9780857020123…
Statistics are a part of every day life. We encounter them in evaluating medical treatments, picking a retirement plan, interpreting political polls, and even in sports. In this class we will learn how to identify, understand, and use the statistics we encounter in everyday life and work. To that end we will discuss:…
10. The Central Limit Theorem says that, if n exceeds 30, a histogram of the sample will have a bell-shape, even if the population isn't normal.…
(Page 87). So if the research had limited access to the population, then the inferential statistics are necessary; if the small population is small enough to allow the research to have full access, then inferential statistics are not necessary.…
CCSS.Math.Content.7.SP.A.1 Understand that statistics can be used to gain information about a population by examining a sample of the population; generalizations about a population from a sample are valid only if the sample is representative of that population. Understand that random sampling tends to produce representative samples and support valid inferences.…
References: Jackson, S.L. (2012). Research methods and statistics: A critical thinking approach (4th ed.). Belmont, CA: Wadworth, Cengage Learning.…
Brase, C. H., & Brase, C. P. (2010). Understanding Basic Statistics (5th ed.). Belmont, CA: Brooks/Cole.…
The critical value of a test statistic creates a “line in the sand” for decision making -- it answers the question of how far is far enough.…
15 November, 2010. 4. Huck, Schuyler W. Statistical Misconceptions. CRC Press. 3 November,…
The third paragraph informs us of what we know through statistics. What is the effect of this technique?…
All statistical procedures have underlying assumptions, some more stringent than others. In some cases, violation of these assumptions will not change substantive research conclusions. In other cases, violation of assumptions will undermine meaningful research. Establishing that one's data meet the assumptions of the procedure one is using in an expected component of all quantitatively based journal articles, theses, and dissertations.…
Prior to assessing the curriculum for this course I anticipated the course would validate those perceptions and fears in the form of high level formulaic equations, and unfathomable theorems. To the contrary, statistics in part presents as a mechanism for analyzing a small sample of observations or a population in order to make sense of a broader slice of a particular group, population or system through the computation and numerical data. As comically articulated by Standard Deviants’ (n.d)., statistics appears to be more akin to a language test, as opposed to the structure, mythology and outcomes of a traditional math…