OCTOBER 2014 HYPOTHESIS TESTING AND TYPE ERRORS Answer the following problems showing your work and explaining (or analyzing) your results. 1. Explain Type I and Type II errors. Use an example if needed. Type I errors, also known as an error of the first kind involves the rejection of a true null hypothesis that is actually the equivalent to a false positive. If the null hypothesis is rejected, a statement can be made that the control
Words: 1449 - Pages: 6
Business Statistics WISE-International Master Hypothesis Testing A hypothesis is a claim (conjecture/assumption) about a population parameter: population mean population proportion It is always about a population parameter, not a sample statistic A Common Theme Check the merits of this hypothesis based on sample information sample A hypothesis is formed about some population parameter infer Hypothesis testing provides a general framework for approaching such
Words: 3341 - Pages: 14
for these statistics were conducted in an excel worksheet and reported in a summary fashion in this report. The analysis will also include the distribution and confidence intervals for each company, along with an analysis of those findings. A hypothesis test was conducted on all three data sets in order to establish that the mean values were credible. Finally, a regression analysis was done to see if there was a relationship between each company and the S&P 500 index. All of the tables that are
Words: 2393 - Pages: 10
Chapter 4 Questions 11-list the five steps of hypothesis testing and explain the procedure and logic of each. Step 1: Restate the question as a Research Hypothesis and a Null Hypothesis about the populations (Aron, 2009). We want to put this into clear terms with our population 1 in the first group stating what our opinion of the research is, why we are performing the research, and what we feel the outcome will be. We then state a null hypothesis to make clear we understand there is an alternative
Words: 2430 - Pages: 10
Hypothesis Testing: One Population Hypothesis testing is used to make decisions about a population based on the analysis of sample statistics. There are always two hypothesis statements which are mutually exclusive and complementary statements concerning the value of the population parameter of interest: Null Hypothesis (H0): An assumption regarding a population parameter of interest. This hypothesis always includes the equal sign as the null hypothesis is assumed to be true unless
Words: 2155 - Pages: 9
MTH 233 Entire Course For more classes visit www.snaptutorial.com MTH 233 Week 2 Individual Assignment: Individual Assignment #1 MTH 233 Week 2 Learning Team Assignment: Learning Team Assignment #1 MTH 233 Week 3 Learning Team Assignment: Learning Team Assignment MTH 233 Week 4 Individual Assignment: Individual Assignment MTH 233 Week 5 Individual Assignment: Individual Assignment MTH 233 Week 5 Learning Team Assignment: Hypothesis Testing and Regression Analysis Paper only
Words: 748 - Pages: 3
the t distribution? Select one: a. Compared to the normal distribution, the t distribution has more area in the tails and less in the center. b. As the number of degrees of freedom increases, the t distribution approaches the normal distribution. Incorrect c. The t distributions are skewed to the left. d. The population variance is unknown and is estimated by the sample variance s2. e. As the sample size increases beyond 120, the t and Z distributions are indistinguishable. Feedback The correct
Words: 14737 - Pages: 59
Avishek Chakraborty Visiting Assistant Professor Department of Statistics Texas A&M University Using sample data to draw a conclusion about a population • Statistical inference provides methods for drawing conclusions about a population from sample data. • Two key methods of statistical inference: o o Confidence intervals Hypothesis tests (a.k.a., tests of significance) Hypothesis Testing: Evaluating the effectiveness of new machinery at the Bloggs Chemical Plant • Before the installation
Words: 921 - Pages: 4
rejecting a true null hypothesis. F When testing a null hypothesis about a single population mean and the population standard deviation is unknown, if the sample size is less than 30, one compares the computed test statistic for significance with a value from the Z- distribution. F As the level of significance decreases, we are more likely to fail to reject the null hypothesis. T
Words: 919 - Pages: 4
11. List the five steps of hypothesis testing, and explain the procedure and logic of each. Step 1: Restate the Question as a Research Hypothesis and a Null Hypothesis about the Populations. You want to restate the question as research hypothesis and null hypothesis about the populations because it allows you to think of two different samples. The research hypothesis and the null are opposite of each other. One is true and the other is not. The researcher predicts something and researches it and
Words: 940 - Pages: 4
