chapter 10 study guide - 10.1 Estimating with Confidence...

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10.1 Estimating with Confidence Statistical Inference allows ways to conclude about a population from a sample data. Confidence Interval (CI) is the interval that will contain the true population parameter. Calculation for a Confidence Interval CI=estimate + margin of error (MOE) MOE = z * s n C=central area of graph z*=invNorm[(C-1)/2] Step 1: Population of interest in context with the question Parameter of interest is population mean Step 2: State you are going to construct a C confidence interval and why Don't forget the “because” and the α. Conditions: The sample size is an SRS from the correct population The distribution of x-bar is normal If any assumptions, caution it. Assume N m , d ( ) = N m , s n ae è ç ö ø ÷ Step 3: Carry out the test. CI=estimate + margin of error (MOE) Step 4: Interpret the Confidence Interval “I am C% confident that the (interval) contain the population mean” and “A C% confidence interval means that C% of intervals constructed by this method will contain the population mean. Restate any cautions made in step 2. You can use the formula MOE = z * s n to determine n if given the MOE. As the MOE gets smaller -the confidence level C decreases -the population standard deviation decreases -the sample size n increases 10.2 Test of significance
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chapter 10 study guide - 10.1 Estimating with Confidence...

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