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Hello!! I have an upcoming exam for Stats class so I kindly need your help!! So please if you can kindly explain, answer, and add

Hello!! I have an upcoming exam for Stats class so I kindly need your help!! So please if you can kindly explain, answer, and add formulas to each question below!! Thank you so much!! I appreciate it!!

  1. How to calculate the probability of cases under the normal curve for "less than", "more than", "between" and "Or" scenarios (4 Questions).
  2. How to calculate the observed value (x) under the normal curve for "less than", "more than" and "between" scenarios (3 Questions).
  3. How to calculate point estimate, margin of error and interval estimate for z-distribution and t-distribution (4 Questions)
  4. The effects of sample size and confidence level on margin error and interval estimate. (2 Questions)
  5. How to determine a minimum sample size for categorical and numerical data. (2 Questions).
  6. How to state the null and alternative hypotheses (1 Question)
  7. How to determine the type of tail test. (1 Question)
  8. How to differentiate between type 1 and type 2 error. (1 Question)
  9. How to find the critical value. (1 Question)
  10. How to calculate the test value. (1 Question)
  11. How to make decision based on the test value and critical value. (1 Question)
  12. How to find and use p-value to draw conclusion (1 Question).
  13. Use the seven-steps procedure of conducting a hypothesis test involving one-sample and two-sample. (8 Questions).
  14. Explore the concepts of within variation (SSW), between variation (SSB) and total variation (SST). (2 Questions).
  15. Follow the steps to complete a partial ANOVA table for inferential decision. (5 Questions)
  16. How to calculate and interpret coefficients of correlation and determination (2 Questions).
  17. How to use R-critical value and F-critical value to test for the significance of a correlation or linear relationship. (2 Questions).
  18. Explore the concepts of best-fitting line and least square method. 2 Questions).
  19. How to calculate and interpret the y-intercept and slope of a regression line. (2 Questions).
  20. How to accurately state the regression equation and predict the dependent variable (2 Questions).
  21. How to calculate the standard error of the estimate. (1 Question)
  22. How to calculate SSR, SSE and SST and use the outcome to calculate the coefficients of determination and correlation. (2 Questions).

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