by | Jul 30, 2022 | Statistics homework help
Consider the following questions: What are the variables (sample sizes, population, treatments, etc.)? What are the inferential statistics used in this article? Were the proper steps of hypothesis testing followed?
Your article critique paper must
Determine what question(s) the authors are trying to answer by doing this research, the hypothesis being tested, and the concepts that were applied in this process.
Evaluate the article and critique the statistical analysis employed in the study.
Identify the specific statistical tests used. Were the tests appropriate for the situation and type of data?
Would you have included more and/or different variables? Explain your answer.
Examine the results, assumptions, interpretations, and limitations of the statistical study.
Interpret the findings of the author(s) using statistical concepts.
What would you have done differently? Why?
Discuss how either the statistical test(s) used in this study or the findings of this research might be useful in your future career.
The Inferential Statistics Article Critique assignment
Must be three to four double-spaced pages in length (not including title and references pages) and formatted according to APA Style as outlined in the Writing Center’s APA Style (Links to an external site.) resource.
Article is attached
by | Jul 30, 2022 | Statistics homework help
Sampling Distribution
A computer scanner can read a bar code on a package correctly 97% of the time. One company monitors the accuracy of the scanner by randomly sampling packages and verifying that each package has been correctly scanned. Random samples of size n = 25, 50, 100, and 200 have recently been taken with the following results.
Sample Size, n Number Correctly Scanned 2524504910095200193
To complete this activity, use Excel to:
Calculate the sample proportion for each sample size.
Calculate the single-proportion sampling error for each sample size.
Calculate the probability of finding 198 correctly scanned packages, for a sample of size n=200.
Submit your work Excel file.
by | Jul 30, 2022 | Statistics homework help
the writer can chose whatever title is easy for him/her. but please make sure to follow the instruction. I will attach 2 sample template and rubrics so you can get an idea. should be in presentation format which I attached the templaet for. I also found one atricle which might be helpful. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2672446/
by | Jul 30, 2022 | Statistics homework help
The B&K Real Estate Company sells homes and is currently serving the Southeast region. It has recently expanded to cover the Northeast states. The B&K realtors are excited to now cover the entire East Coast and are working to prepare their southern agents to expand their reach to the Northeast.
B&K has hired your company to analyze the Northeast home listing prices in order to give information to their agents about the mean listing price at 95% confidence. Your company offers three analysis packages: one based on a sample size of 100 listings, one based on 1,000 listings, and another based on a sample size of 4,000 listings. Because there is an additional cost for data collection, your company charges more for the package with 4,000 listings than for the package with 100 listings.
Bronze Package – Sample size of 100 listings:
95% confidence interval for the mean of the Northeast house listing price has a margin of error of $24,500
Cost for service to B&K: $2,000
Silver Package – Sample size of 1,000 listings:
95% confidence interval for the mean of the Northeast house listing price has a margin of error of $7,750
Cost for service to B&K: $10,000
Gold Package – Sample size of 4,000 listings:
95% confidence interval for the mean of the Northeast house listing price has a margin of error of $3,900
Cost for service to B&K: $25,000
The B&K management team does not understand the tradeoff between confidence level, sample size, and margin of error. B&K would like you to come back with your recommendation of the sample size that would provide the sales agents with the best understanding of northeast home prices at the lowest cost for service to B&K.
In other words, which option is preferable?
Spending more on data collection and having a smaller margin of error
Spending less on data collection and having a larger margin of error
Choosing an option somewhere in the middle
For your post:
Formulate a recommendation and write a confidence statement in the context of this scenario. For the purposes of writing your confidence statement, assume the sample mean house listing price is $310,000 for all packages. “I am [#] % confident the true mean . . . [in context].”
Explain the factors that went into your recommendation, including a discussion of the margin of error
by | Jul 30, 2022 | Statistics homework help
Scenario
You have been hired by the Regional Real Estate Company to help them analyze real estate data. One of the company’s Pacific region salespeople just returned to the office with a newly designed advertisement. It states that the average cost per square foot of his home sales is above the average cost per square foot in the Pacific region. He wants you to make sure he can make that statement before approving the use of the advertisement. The average cost per square foot of his home sales is $275. In order to test his claim, you collect a sample of 1,001 home sales for the Pacific region.
Prompt
Design a hypothesis test and interpret the results using significance level α = .05.
Use the House Listing Price by Region document to help support your work on this assignment. You may also use the Descriptive Statistics in Exceland Creating Histograms in Excel tutorials for support.
Specifically, you must address the following rubric criteria, using the Module Five Assignment Template.
Setup: Define your population parameter, including hypothesis statements, and specify the appropriate test.
Define your population parameter.
Write the null and alternative hypotheses. Note: Remember, the salesperson believes that his sales are higher.
Specify the name of the test you will use.
Identify whether it is a left-tailed, right-tailed, or two-tailed test.
Identify your significance level.
Data Analysis Preparations: Describe sample summary statistics, provide a histogram and summary, check assumptions, and find the test statistic and significance level.
Provide the descriptive statistics (sample size, mean, median, and standard deviation).
Provide a histogram of your sample.
Describe your sample by writing a sentence describing the shape, center, and spread of your sample.
Determine whether the conditions to perform your identified test have been met.
Calculations: Calculate the p value, describe the p value and test statistic in regard to the normal curve graph, discuss how the p value relates to the significance level, and compare the p value to the significance level to reject or fail to reject the null hypothesis.
Determine the appropriate test statistic, then calculate the test statistic.
Note: This calculation is (mean – target)/standard error. In this case, the mean is your regional mean (Pacific), and the target is 275.
Calculate the p value.
Note: For right-tailed, use the T.DIST.RT function in Excel, left-tailed is the T.DIST function, and two-tailed is the T.DIST.2T function. The degree of freedom is calculated by subtracting 1 from your sample size.
Choose your test from the following:
=T.DIST.RT([test statistic], [degree of freedom])
=T.DIST([test statistic], [degree of freedom], 1)
=T.DIST.2T([test statistic], [degree of freedom])
Using the normal curve graph as a reference, describe where the p value and test statistic would be placed.
Test Decision: Discuss the relationship between the p value and the significance level, including a comparison between the two, and decide to reject or fail to reject the null hypothesis.
Discuss how the p value relates to the significance level.
Compare the p value and significance level, and make a decision to reject or fail to reject the null hypothesis.
Conclusion: Discuss how your test relates to the hypothesis and discuss the statistical significance.
Explain in one paragraph how your test decision relates to your hypothesis and whether your conclusions are statistically significant.
Guidelines for Submission
Submit the completed Module Five Assignment Template as a Word document that includes your response and supportive charts.
by | Jun 23, 2022 | Statistics homework help
You are a process manager at the Woodmill Company tasked with determining if an optical scanner would be beneficial. Write a 4–5 page report to your supervisor (including a cover page and a Source List page) in which you:
Summarize the Woodmill Company’s problem of ripping dimension lumber into narrower pieces.
Develop a frequency distribution for the board values for the scanner and the manual process.
Generate appropriate descriptive statistics for both manual and scanner values.
Analyze the frequency distribution and descriptive statistics for both manual and scanner processes. Use Excel to create your charts.
Determine which process generates more values (manual or scanner).
Evaluate which process has less relative variability, using frequency distribution and descriptive statistics.
Recommend whether the optical scanner is the best option for the company.
