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Determine a topic for a survey and have it approved by the instructor. Ideas for your project can be found at the end of the chapters in the activity section. Pick a topic that is of interest to you. The topic should be such that you can obtain a sample of the appropriate size, statistical measures can be calculated, a hypothesis can be tested, and your topic has a related second variable in which to test correlation. The hypothesis should be developed early on in the process of completing this project.The final project should be narrative in structure and should include all statistical calculations with complete explanations of how the statistical measures apply to your data. Data must be reported and all statistical measures completed on statistical software must be included. Use your textbook as a reference to give detailed explanations as you analyze your data. The project should be typed and presented in a manner fitting a final paper/project. You will be scored on completion of all parts listed below, detailed explanation showing understanding of statistical measures, and presentation.
Your project should include:
• Description of survey or collection of data• How your data was collected including the source of your data• Record your data into Statdisk or Excel• Find the mean, median, mode, standard deviation, and variance. Analyze and explain why these statistical measures are important and how they apply to your data.• Determine a confidence interval for the population proportion or mean• Develop a hypothesis about your data in your sample. Test that hypothesis and report your conclusion.• Use a .05 significance level to test for a linear correlation between two variables chosen• Summarize your survey and the statistical measures you calculated.
Devise a method for estimating and plotting Bayesian credible regions for the paramters, using your MCMC sample and compute LS estimators of a and b,
What is the purpose of sampling? What are some concerns and dangers of sampling? How important is the sample design to data validity? Explain.
The researcher in exercise decides to conduct the same study using a within - participates design to control for differences in cognitive ability.
Determine the probability that a single light bulb lasts over 120 hours. (d) Could you use the CLT to approximate the distribution of the total lifetime of these bulbs?
How many women must be randomly selected to estimate the mean weight of women in one age group. We want 90% confidence that the sample mean is within 3.7 lb of the population mean.
Compute the probability that randomly chosen student with a Master's degree majored in English or mathematics?
Determine the probability distribution for X defined as number of defective items drawn (Hint: You have to determine P(X=0), P(X=1) and P(X=2).
When is a factorial ANOVA used? Give Example. When is a chi square test appropriate? Give Example. When does linear regression versus multiple regression apply? Give Example.
Can we conclude at the 5% significance level that the population mean weight of athletic men is lower than the population mean weight of non-athletic men?
The results of a district spelling bee for both girls and boys are normally distributed. the 60 girls have a mean score of 71 with a standard deviation of 6, while the 50 boys have a mean score of 66 points with standard deviation of 5 points.
Describe the advantages and disadvantages of quasi-experiments? What is the fundamental weakness of a quasi-experimental design? Why is it a weakness? Does its weakness always matter?
Based on the custom "rule-of-thumb" for estimating the standard deviation, if the range of prices for a product sold in Kansas City is between $99 and $349, an estimate of the standard deviation of the prices would be about:
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