CNSL 503 MOD 4 LATEST UPDATED 2025/2025 EXAM WITH COMPLETE QUESTIONS AND SURE VERIFIED SOLUTIONS 100% GRADED AT A+ SCORE!! SURE GUARANTEED PASS!!

CNSL 503 MOD 4 LATEST UPDATED 2025/2025 EXAM WITH COMPLETE QUESTIONS AND SURE VERIFIED SOLUTIONS 100% GRADED AT A+ SCORE!! SURE GUARANTEED PASS!! 1. normal distribution - ANSWER a frequency distribution that is shaped like a symmetrical bell, unimodal curve 2. statistical power - ANSWER probability of correctly rejecting a null hypothesis that is false- measured on scale of 0-1 3. factors that effect statistical power - ANSWER -sample size (larger sample larger the power) -size of the treatment effect -Alpha level -one or two tailed test -significance level -type of hypothesis test 4. total relative frequency of distribution - ANSWER area under curve = 100% of the data or 1.0 5. 68% of values - ANSWER % fall within 1 standard deviation of mean 6. 95% of values - ANSWER % fall within 2 standard deviations of mean 7. 99.7 % of values - ANSWER fall with in 3 standard deviations of he mean 8. 68-95-99.7 rule - ANSWER In a normal distribution, about 68% of values fall within 1 standard deviation of the mean, about 95% fall within 2 standard deviations of the mean, and about 99.7% fall within 3 standard deviations of the mean. 9. normal curve defined by - ANSWER mean and standard deviation 10. raw score - ANSWER exact value that is observed 11. standard score - ANSWER indicates exactly how many standard deviations a raw score is above or below the mean. Z-score 12. What is the purpose of calculating z-scores? - ANSWER The purpose of calculating z-scores is to understand a score's relative standing within a distribution. The z-score standardizes scores from different data sets with different means 13. formula for sample mean to z-score - ANSWER divided by standard error o/square root of sample 14. standard normal table - ANSWER Shows the proportion of values that fall to the left (or below) of a given z-score in a normal distribution 15. How to find percentage above z-score - ANSWER 1- p-value 16. hypothesis testing using a z-score - ANSWER 1) State the null (H0 ) and alternative (Ha ) hypotheses. 2) Determine the critical values. 3) Calculate the z-score. 4) Compare the z-score to the critical value and determine whether to reject H0. 17. one-tailed test - ANSWER a directional test because it specifies whether the population mean increases or decreases after the treatment (can be left or right tail) 18. left tail - ANSWER decreases, Ha:u55 19. right tail - ANSWER increase Ha:u55 20. critical region - ANSWER represents sample values that are unlikely to occur if the treatment does not have an effect (if z-score is in critical region reject null hypothesis) 21. two-tailed test - ANSWER states that there will be some change in the mean; the treatment will have some effect on the population mean (not specific on increase or decrease just change) 22. critical rejection - ANSWER When null hypothesis is rejected because z-score falls in critical region 23. Two tailed critical values (alpha values) - ANSWER 0.05- 1.96 0.01- 2.58 0.01- 3.30 24. two tailed 0.05 - ANSWER 1.96 25. two tailed 0.01 - ANSWER 2.58 26. two tailed 0.001 - ANSWER 3.30 27. one tailed critical values (alpha values) - ANSWER 0.05 +- 1.65