Description Using the School Online Library, the Internet, and your text readings, research the following statistical topics: Levels of measurement Parametric and nonparametric methods On the basis of your research and understanding, respond to the following: Find and state the definition of levels of measurement that distinguishes the four types of data used in statistical analysis. In your own words, compare the four types of data and explain how they differ. Find and state a definition of parametric and nonparametric methods that distinguishes between the two. In your own words, explain the difference between parametric and nonparametric methods. Explain which types of data require parametric statistics to be used and which types of data require nonparametric statistics to be used and why. Compare the advantages and disadvantages of using parametric and nonparametric statistics. Describe how the level of measurement helps determine which of these methods to use on the data being
Description Instructions: 1. Access Nanos Research at https://nanos.co/Links to an external site. and select Reports (from the menu or the icons below the header). 2. Pick a report that interests you and is dated no older than Jan 1, 2023. 3. Verify the report findings are based on the analysis of proportions. 4. Click View PDF to access the report (power point format) 5. Read the report and the Methodology section. 6. Prepare your submission in MSWord: 6a) State the title of the Report and date published. 6b) State the 5W’s and 1H for the study. 6c) Summarize, briefly, in your own words, one (1) interesting result from the report. 6d) State one (1) connection from the article on confidence intervals. 6e) State the sample size, margin of error and confidence level. 6f) Prove through calculations and a worded explanation how the given sample size in the report connects to the stated margin of error and confidence level.
Description Use the attached data files to answer the questions in the attached MS Word template. Submit your work in the form of a single MS Word or PDF file here. Use the proportion calculator for two population to answer comparisons between two population proportions. Assignment files: Assistantship-2020.xlsx Flint_Water_2.xlsx Low Price Guarantee-2020.xlsx
Description To Access My School/Course you’ll have to follow the steps below. Let me know when you’re ready to login so I’ll be ready to send you the required code immediately upon receipt. Go to https://auth.columbiasouthern.edu/login?service=https://mycsu.columbiasouthern.edu/Account/LogOn Select Blackboard If the link above doesn’t give you the Blackboard option, just Google “Columbia Southern University Login” and click on the link that pops up Select Blackboard Enter Username: jamie.darif412@students.columbiasouthern.edu Message pops up asking to Pick an Account: Select jamie.darif412@students.columbiasouthern.edu Enter Password: Himehime1234! A message will pop up asking to Approve sign in request: Click “I can’t use my Microsoft Authenticator App right. now” A message will pop up asking to Verify Identity: Click on “Text +Xxxxxxxxx16 (I’ll receive the code immediately and will message it to you). Enter the code I send you and select the option “Do not ask me this again for 7 days”. Now you should be logged in. If an error message pops up saying you don’t have access, just log back in and it should work from there.
Description A nurse is interested in whether there is a relationship between daily levels of stress and likelihood of a heart attack. The stress scores (predictor variable) and risk of heart attack values (criterion variable) from a small sample of participants are depicted below (Values below are valid for this question only!) Stress Score Risk of Heart Attack (Higher values = more stress) (Higher values = greater risk) 8 5 4 2 6 8 8 3 What is the covariance? A nurse is interested in whether there is a relationship between daily levels of stress and likelihood of a heart attack. The stress scores (predictor variable) and risk of heart attack values (criterion variable) from a small sample of participants are depicted below (Values below are valid for this question only!) Stress Score Risk of Heart Attack (Higher values = more stress) (Higher values = greater risk) 0 2 2 8 3 0 8 7 What is the standard deviation of the predictor variable? A nurse is interested in whether there is a relationship between daily levels of stress and likelihood of a heart attack. The stress scores (predictor variable) and risk of heart attack values (criterion variable) from a small sample of participants are depicted below. (Values below are valid for this question only!) Stress Score Risk of Heart Attack (Higher values = more stress) (Higher values = greater risk) 6 8 8 0 2 6 9 2 What is the standard deviation of the criterion variable? A nurse is interested in whether there is a relationship between daily levels of stress and likelihood of a heart attack. The stress scores (predictor variable) and risk of heart attack values (criterion variable) from a small sample of participants are depicted below. (Values below are valid for this question only!) Stress Score Risk of Heart Attack (Higher values = more stress) (Higher values = greater risk) 3 7 8 0 8 1 5 0 What is the Pearson's r value? A nurse is interested in whether there is a relationship between daily levels of stress and likelihood of a heart attack. The stress scores (predictor variable) and risk of heart attack values (criterion variable) from a small sample of participants are depicted below. (Values below are valid for this question only!) Stress Score Risk of Heart Attack (Higher values = more stress) (Higher values = greater risk) 4 1 4 3 9 0 2 2 What is the numeric value of the slope (b)? A nurse is interested in whether there is a relationship between daily levels of stress and likelihood of a heart attack. The stress scores (predictor variable) and risk of heart attack values (criterion variable) from a small sample of participants are depicted below. (Values below are valid for this question only!) Stress Score Risk of Heart Attack (Higher values = more stress) (Higher values = greater risk) 4 9 9 0 6 5 5 0 What is the numeric value of the y-intercept (a)? A nurse is interested in whether there is a relationship between daily levels of stress and likelihood of a heart attack. The stress scores (predictor variable) and risk of heart attack values (criterion variable) from a small sample of participants are depicted below. (Values below are valid for this question only!) Stress Score Risk of Heart Attack (Higher values = more stress) (Higher values = greater risk) 6 5 5 0 7 7 1 2 Set up the regression equation and use to predict the risk of heart attack for a person with a stress score of 7. The risk of heart attack predicted for a person with a stress score of 7 is? Exam score in Psy 1110 is used to predict nurses' salaries, and the regression equation turns out to be ? = 9(X) + 369 If a nurse earns a score of 80 on the exam, his/her predicted salary would be $____00.00? (Fill in the blank with the numbers only from solving the regression equation. Do NOT add additional zeros or decimal points.) (Hint: DO NOT convert 80 to a decimal for this problem! Use the value of 80 (NOT .80) during your calculations.) Exam score (X) is used to predict nurses' salaries (?), and the regression equation turns out to be: ? = 8(X) + 350 If a nurse's predicted salary (?) is $890 per week (for purposes of this problem, represented numerically as 890), what would be his or her exam score (X)? (Hint: Note that in this particular problem, you are solving for X . . . not for ?) Which of the following correlations is weakest? -1 -.5 0 +1 Consider the following sets of variables. When is computing correlation appropriate, based on the type of variables? Weight and height Gender (M vs. F) and height Age category (age category 11-20, age category 21-30, age category 31-40, etc.) and height Name and height The direction of causality Can be determined when two variables have significant linear correlation Can be determined when two variables have significant nonlinear correlation Can be determined when two variables have no correlation Cannot be determined based on correlation alone In a study of how late people are to work, 51% of the variability of the amount of time late could be accounted for by the time spent in traffic jams. What was the correlation coefficient? Let us say, hypothetically, that you found a significant positive correlation between Exposure to TV Violence and Aggressive Behavior. Which of the following might explain this relationship? Select any and all options that are correct. Greater exposure to TV violence is associated with less aggressive behavior Greater exposure to TV violence is associated with more aggressive behavior Exposure to TV violence and aggressive behavior are totally unrelated More aggressive behavior is associated with greater exposure to TV violence A third, unknown variable is causing both aggressive behavior and exposure to TV violence to similarly rise and fall. A variable that can be used to predict the value of another variable is called predictor variable
Description In Class Assignments instead of class: The book has you doing pie chart and histogram. I also want you to practice creating a table with percentile change using the database I put below and choose three other types of charts that you want to display visually using any variable from any of the databases you have access to. Make sure you match the level of measurement to the right type of chart. There are many videos to help you here and under the SPSS and Dataset Assists. Grading criteria: Multiple types of charts using SPSS or Excel-10 points Correct Level of Measurement used for each chart AND correct labeling and titling of charts (each axis is correctly labeled and there is a title at the top of the chart/table/graph 10 points Use of datasets you have access to 10 points One sentence explanation for each chart or table demonstrating that you can explain what the chart means. 10 points
Description Caleb summarized the data from his sample using _____ statistics. He then used his sample data to generalize the results to the population using _____ statistics. inferential; descriptive descriptive; inferential inferential; quantitative quantitative; descriptive
Description For this module week, we want to focus on the literature review. A literature review is designed to summarize, synthesize, and discuss the current state of knowledge about a topic. Main literature review points: What are the three leading themes of your literature review?
Description In Class Assignments instead of class: The book has you doing pie chart and histogram. I also want you to practice creating a table with percentile change using the database I put below and choose three other types of charts that you want to display visually using any variable from any of the databases you have access to. Make sure you match the level of measurement to the right type of chart. There are many videos to help you here and under the SPSS and Dataset Assists. Grading criteria: Multiple types of charts using SPSS or Excel-10 points Correct Level of Measurement used for each chart AND correct labeling and titling of charts (each axis is correctly labeled and there is a title at the top of the chart/table/graph 10 points Use of datasets you have access to 10 points One sentence explanation for each chart or table demonstrating that you can explain what the chart means. 10 points
