Review the test findings from Week 8 based on testing the parking lot calculation application located at http://adam.goucher.ca/parkcalc/
Re-test the application if needed.
Formally document any defects or failures you found in an incident report. Include at least 5 defects in your incident report. At minimum, include the following information within your report for each defect or failure.
Defect summary
Incident description (expected results, actual results, what you entered, date/time)
Priority or severity
Steps followed to create/recreate issue
Include error descriptions/messages, if appropriate
Provide screen prints as needed
Calculate and report basic testing metrics to help provide a feel for the status of your testing efforts, health of the software being tested, and effectiveness of your testing efforts. At minimum, include:
Total Defects (overall measure of software quality)
Test case testing ratio (indication of testing status) è Test cases tested / total test cases
Failure Rate è # failures per unit of time (usually # failures per hour)
Defect Density (measure of software quality) è total # defects / # test cases completed
Critical Bug Detection Rate (measures testing effectiveness; testing resources should be focused on finding the highest risk defects) è # high priority bugs / # total bugs *
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Knowledge of statistics is important in careers in psychology
Knowledge of statistics is important in careers in psychology
For your Signature Assignment, you will create a PowerPoint presentation suitable to use for a lecture in an introductory statistics class. You should include the following in your presentation:
A description of why a knowledge of statistics is important in careers in psychology as well as in everyday life.
A description of the difference between descriptive and inferential statistics.
A description of the inferential tests discussed during this class. You should discuss the types of data that are appropriate for each test (i.e., nominal, ordinal, interval, or ratio). You should create a specific research example that would yield data appropriate for each of the tests that you mention. You should describe each of the variables involved in your research question and how that variable will be measured.
A discussion of any ethical concerns that need to be considered for each of the research examples.
At least one graph demonstrating how the results of the statistical test should be presented.
Incorporate appropriate animations, transitions, and graphics as well as speaker notes for each slide. The speaker notes may be comprised of brief paragraphs or bulleted lists.
Support your presentation with at least three scholarly resources. In addition to these specified resources, other appropriate scholarly resources may be included.
Length: 12 – 15 slides
Notes Length: 150-200 words for each slide
Be sure to include citations for quotations and paraphrases with references in APA format and style where appropriate. Save the file as PPT with the correct course code information.
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PowerPoint for an Introductory Statistics Class For your Signature Assignment, you will create a PowerPoint presentation suitable to use for a lecture in an introductory statistics class.
PowerPoint for an Introductory Statistics Class
You should include the following in your presentation:
A description of why knowledge of statistics is important in careers in psychology as well as in everyday life. A description of the difference between descriptive and inferential statistics. A description of the inferential tests discussed during this class. You should discuss the types of data that are appropriate for each test (i.e., nominal, ordinal, interval, or ratio). You should create a specific research example that would yield data appropriate for each of the tests that you mention. You should describe each of the variables involved in your research question and how that variable will be measured. A discussion of any ethical concerns that need to be considered for each of the research examples. At least one graph demonstrating how the results of the statistical test should be presented.
Incorporate appropriate animations, transitions, and graphics as well as speaker notes for each slide. The speaker notes may be comprised of brief paragraphs or bulleted lists.
Support your presentation with at least three scholarly resources. In addition to these specified resources, other appropriate scholarly resources may be included.
Length: 12 – 15 slides
Notes Length: 150-200 words for each slide
Be sure to include citations for quotations and paraphrases with references in APA format and style where appropriate.
Save the file as PPT with the correct course code information
Comparing means and controlling covariates is tested using another ANOVA a technique called analysis of covariance (ANCOVA). The technique combines ANOVA with linear regression to measure differences among group means when we want to control for one or more continuous variables that might affect the outcome. Discuss when the use of ANCOVA is appropriate and the assumptions, interpretations, and limitations of analysis of covariance.
Use at least three (3) quality references Note: Wikipedia and other related websites do not qualify as academic resources.
Statistics ANOVA with linear regression Assignment Requirements
Your assignment must follow these formatting requirements:
Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; citations and references must follow APA or school-specific format. Check with your professor for any additional instructions.
Include a cover page containing the title of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required assignment page length. We can write this or a similar paper for you! Simply fill the order form!
Find real-world applications for the methods used in this module. Explain benefits and challenges of implementing this method in your own words. Explain how you might use this method for an organization of your choice. Be specific and go beyond the general description of the method that can be found in textbooks and on the Internet. Reference your sources properly. This post must be at least 250 words.
For this module select a case/story/application about the test of means in general, t-test, z-test, Wilcoxon, Kruskal-Wallis, or ANOVA test.
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Analyzing and Presenting Statistical Data Although analyzing statistical data can be challenging, it is equally challenging to convert these data into a written format
Analyzing and Presenting Statistical Data
. Therefore, in this activity, you will practice the important skill of data analysis and presenting statistical
information in a written format. Using the provided datasets of offenses reported, calculate the mean, median, mode, max,
min, and range for each of the crimes. The list of crimes includes violent crime total, murder and non-negligent
manslaughter, legacy rape, revised rape, robbery, aggravated assault, property crime total, burglary, larceny-theft, and
motor vehicle theft.
The specific steps are as follows:
Download 1 of the following datasets of offenses from the Uniform Crime Report:
Accomack County Sheriff’s Office
Honolulu Police Department
Los Angeles Police Department
Calculate the mean, median, mode, max, min, and range for each of the following:
Violent crime total
Murder and non-negligent manslaughter
Legacy rape
Revised rape
Robbery
Aggravated assault
Property crime total Burglary
Larceny-theft
Motor vehicle theft
Write 1 paragraph for each of the crimes, where you present the statistical results to the reader in a written format.
Reference
U.S. Department of Justice, Federal Bureau of Investigation, Uniform
Crime Reporting Statistics. (2017). Welcome to a new way to access UCR
statistics. Retrieved from https://www.ucrdatatool.gov/
What is Fisher test and how it is calculated 1. What is the fisher test? 2. Assumptions of test 3. How is the test calculated?
What is Fisher test and how it is calculated
4. Interpretation of the test results 5. In the context of fisher test meaning of-p-value alternative hypothesis null hypothesis true odds ratio 95 percent confidence interval sample estimate odds ratio. The Fisher Exact test is a test of significance that is used in the place of the chi-square test in 2 by 2 tables, especially in cases of small samples.
Statistics Solutions is the country’s leader in fisher exact test and dissertation consulting. Contact Statistics Solutions today for a free 30-minute consultation.
Construct Confidence Intervals and Statistical Tests
Construct Confidence Intervals and Statistical Tests
Construct Confidence Intervals and Statistical Tests Instructions
For this task, write a paper using the following structure:
Begin with a one or two-paragraph introduction that summarizes the meaning of the reading material.
Answer all of the questions included in Parts 1 and 2 below. Be sure to answer questions using complete sentences and show all the work in your calculations.
Provide a written conclusion, when appropriate, for the problem that you are addressing.
Include an essay section in your paper, which is described in Part 3 below.
Use the last part of your paper to include a paragraph or two that explains the information that you learned in the assignment. Support your paper with at least two references.
Part 1
Explain the difference between a 95% confidence interval and a 99% confidence interval in terms of probability.
a) To construct a 95% confidence interval for a population mean µ, what is the correct critical value z*?
b) To construct a 99% confidence interval for a population mean µ, what is the correct critical value z*?
Explain what the margin of error is and how to calculate it.
A survey of a group of students at a certain college, we call College ABC, asked: “About how many hours do you study in a week?” The mean response of the 400 students is 15.8 hours. Suppose that the study time distribution of the population is known to be normal with a standard deviation of 8.5 hours. Use the survey results to construct a 95% confidence interval for the mean study time at the College ABC.
Explain the difference between a null hypothesis and an alternative hypothesis.
Suppose that you are testing a null hypothesis H0: µ = 10 against the alternative H1: µ ≠ 10. A simple random sample of 35 observations from a normal population is used for a test. What values of the z statistic are statistically significant at the α = 0.05 level?
Describe the four-step process for tests of significance according to the textbook.
Part 2
A study of a group of 40 male league bowlers chosen at random had an average score was 176. It is known that the standard deviation of the population is 9.
a) Construct the 95% confidence interval for the mean score of all league bowlers.
b) Construct the 95% confidence interval for the mean score of all league bowlers assuming that a sample of size 100 is used instead of 40, and the same mean and standard deviation occur.
d) Explain why one confidence interval is larger than the other.
There are 100 apartments in a certain a San Francisco apartment building. The owner of the building wants to estimate the mean number of people living in an apartment. The owner draws a random sample of 40 apartments in the building. The number of people living in each apartment is as follows:
1 2 1 2 3 1 3 4 3 1
2 2 1 2 2 2 1 3 2 3
2 3 1 2 3 3 2 4 5 2
3 2 2 3 1 1 2 2 1 2
a) Compute the sample mean and sample standard deviation.
b) Use the results from part (a) to construct a 95% confidence interval.
A doctor wishes to estimate the birth weights of infants. How large a sample must the doctor select if she desires to be 99% confident that the true population means is at most 6 ounces away from the mean of the sample? Assume the standard deviation is 8 ounces. Hint: The margin of error should be at most 6.
In Problem 4 of Part 1, a class survey of 400 students was given in which students at College ABC claimed to study an average of 15.8 hours per week. Consider these students as a simple random sample from the particular population of College ABC students. We want to investigate the question: Does the survey provide good evidence that students study more than 15 hours per week on average? Assume the population of hours studied is normal with a standard deviation of 4.
Before working out this problem, it will help to look over the webpage, Hypothesis tests for means, http://stattrek.com/hypothesis-test/mean.aspx?Tutorial=AP
a) State the null and alternate hypothesis in terms of the mean study time in hours for the population.
b) Is this a one-tailed test or two-tailed test?
c) Determine the value of the test statistic.
d) Sketch a normal shape curve and identify the test statistic.
e) Indicate the p-value of the test. Use the standard normal table. Shade the area under the normal curve corresponding to the p-value. You can also use the website cited above to do this.
f) State your conclusion to the statistical problem in terms of the null hypothesis, and your conclusion to the practical problem.
Length: 5 – 7 pages
References: Include a minimum of two scholarly peer-reviewed resources.
Upload your document and click the Submit to Dropbox button.
External Resource (S): Books and Resources for this Week
Statistics in Practice
Moore, D.S., Notz, W.I., & Fligner, M.A. (2015). Statistics in practice. New York, NY: W.H. Freeman.
This paper should include words from our Management of innovation class as I will list them to you below and our professor wants us to underline each of those terms while used in the paper. He basically wants to test our comprehension of those terms and how are applied in the innovation. The innovation I want you to talk about is Netflix.
The terms I want you to use areas listed but not limited to:
incremental and radical innovation
process of innovation
innovators and adoption
technology advancing s curve
interpersonal communication channels
adopters ratio rates
change agent
cross the chasm
Please do not forget to underline each term from the above and any other innovation-related term you will be using
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Nash Equilibrium Conditions following Single Strategy Table A (Firm 1) S1a S1b (firm2)S2a 2, 2 3, 0 S2b 0, 3 1, 1 Table B (Firm 1) S1a S1b (firm2)S2a 10, 10 16, 4 S2b 18, 2 4, 16
Nash Equilibrium Conditions following Single Strategy
1, if there is a Nash (non-cooperative) equilibrium following a single strategy, identify it and demonstrate that it is Nash equilibrium 2, if there is no single strategy that satisfies the Nash equilibrium conditions, demonstrate that and calculate and explain the strategy mix. Nash Equilibrium is a term used in game theory to describe an equilibrium where each player’s strategy is optimal given the strategies of all other players. A Nash Equilibrium exists when there is no unilateral profitable deviation from any of the players involved. In other words, no player in the game would take a different action as long as every other player remains the same. Nash Equilibria are self-enforcing; when players are at a Nash Equilibrium they have no desire to move because they will be worse off.
