|  | 5. Sampling Distributions Sample Means and ProportionsTopics and Notes 
           Sampling Distribution
               a. Central Limit Theorem (CLT): Distribution of sample means and proportions b. Sampling distribution of sample means based on normal populations  Using CLT sampling distribution of sample means: Large sample 
 
                 a. Z-score transformation:  $Z = (x -\bar{x})/(s/\sqrt{n})$b. Finding probabilityc. Finding percentiles d. Tip: draw a density curve of the sampling distribution (x̄) and a density curve of standard normal density curve (Z) CLT for Population Proportion
               
                   a. Z-score transformation:  $Z = (p - \hat{p})/\sqrt{p(1-p)/n}$b. Finding probabilitiesc. Finding percentilesd. Tip: draw a density curve of the sampling distribution (p̂) and a density curve of standard normal density curve (Z) Lecture Note Practice and Interactive Apps     
               
               Practice exercises #05  
                          WEB LINK
                 [Optional]Read section 7.3 and 7.4 of Navidi's textbook  IntroStatsApps: |  |  |