Screenshot 2019-11-01 at 13.38.59.png - Question 1 Correct 4.00 points out of 4.00 ‘7 Flag question The big theoretical idea that lies behind many

Screenshot 2019-11-01 at 13.38.59.png - Question 1 Correct...

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Unformatted text preview: Question 1 Correct 4.00 points out of 4.00 ‘7 Flag question The big theoretical idea that lies behind many techniques in statistics, stating that for random samples with sufficiently large sample size the distribution of sample statistics for a mean or a proportion is a normal distribution centered at the value of the population parameter is called the Central Limit Theorem V . If the distribution for a statistic follows the shape of a normal distribution with standard error SE' we find a Confidence Interval \l for the parameter using Sample Statistic :t 2* - SE where z* is chosen so that the area between —z* and +z* is the desired level of confidence. When the distribution of the statistic under H0 is normal, we compute a standardized test statistic w/ using Sample Statistic—Null Parameter z = se— The p-value V of the test is the probability a standard normal value is beyond this standardized test statistic (to the right or left, depending on the direction of the alternative hypothesis) ...
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