RES 320 Week 5 Team Research Paper and Presentation Find and summarize 8 to 10 articles that are pertinent to the research topic selected. Show how these secondary sources relate to the research topic. Part 2 Address the role that might be played by qualitative research, quantitative research, secondary data, and survey research. Once decisions are reached about the approach and techniques to be used, the Learning Team should: Work on a sampling plan for the project. • Consider the population in which you are interested.
The Evolution of Populations Study Guide A Answer Key Section 1. Genetic Variation Within Populations 1. B 2. d 3. gene pool 4. combinations of alleles 5. allele frequencies 6. ratio or percentage 7. mutation 8. recombination 9. hybridization 10. gene pool 11. allele frequency Be Creative: Logos may vary but should illustrate the importance of genetic diversity. Section 2. Natural Selection in Populations 1.
2.12 b. 1.734 c. -1.740 d. 1.740 ANSWER: d -same process but now go to one tailed α=0.05 and dof = 17 4. Read the t statistic from the table of t distributions and circle the correct answer. A one-tailed test (lower tail), a sample size of 10 at a .10 level of significance; t = a. 1.383 b.
Chapter 11 Comparisons Involving Proportions Learning Objectives 1. Be able to develop interval estimates and conduct hypothesis tests about the difference between the proportions of two populations. 2. Know the properties of the sampling distribution of the difference between two proportions[pic]. 3.
The slope b is the approximate change in y when x increases by 1. 2. How do you use the regression line for prediction? To make a prediction when you have population data, take average of group; group averages very often form line, also to make a prediction when you have a sample, take all group averages and draw a line of best fit; use line to predict. Regression models are often constructed based on certain conditions that must be verified for the model to fit the data well, and to be able to predict accurately.
You would conduct a survey where you would ask the respondents to rank themselves on the liberal-conservative scale, and then you will compare the averages for the urban residents and the country-side residents in order to demonstrate the presence of the effect. However, due to sampling error, even when you know that the difference between group averages is zero, the outcome may be non-zero. Here is your opportunity to discover this for yourself. Step 1 – data file Open the Excel file newspaper.xlsx on Gauchospace. Click on the tabs in the lower left corner to explore Sheet 1 of the spreadsheet.
RUNNING HEADER: Regression Analysis Regression Paper RES/342 October 10, 2011 University of Phoenix Introduction A simple linear regression analysis is a statistical technique that by fitting a linear equation, attempts to structure the relationship between two variables. The linear equation used is to predict values for the observed data. Learning Team C has the task of developing one research question and formulating a hypothesis, which is tested with linear regression analysis in regard to data retrieved from the Century National Bank data set. Before attempting to design a linear structure to the observed data, the team will first verify if there is a relationship between the two variables of interest. Subsequently
If a variable could be either, choose the more likely one. (Hint: Be careful the first variable!) Question 2 – Survey Sampling (from the text: Chapter 3, page 49, #8, #10, #14) For each of the following three reports about statistical studies, identify the following items (if possible). If you can't tell, then say so – this often happens when we read about a survey. a) The population b) The population parameter of interest c) The sampling frame d) The sample e) The sampling method, including whether or not randomization was employed.
Topics may be different from those covered in the course, but should be approved by Professor Petrie. Maximum length should be 10 pages. PROJECT 2: Design an experiment. The design should include a statement of the research question, a prediction based on economic theory, the task the subjects will complete, a sketch of the protocol (instructions for subjects, directions for experimenters), number of subjects per condition, and a description of how the data will be analyzed to test the prediction. Students are encouraged to work in pairs to design their studies.
Examples 2.4 (pages 55-56), 2.6 (page 57), 2.10 (page 67) - Descriptive Statistics The first task in analyzing a data set is to describe it. In addition to the graphical methods covered in examples 2.1 and 2.2, this usually involves computing the numerical measures of central tendency (i.e the mean and or median), and numerical measures of the variability of the data (i.e., the standard deviation and the variance). This tutorial will demonstrate how to use Minitab to compute the descriptive statistic(s) for a dataset for text examples 2.4, 2.6, and 2.10. After loading the dataset R&D.MTW into Minitab begin by: 1. Clicking on Stat.