The central limit theorem tells us that the sample means follow a normal distribution with mean µ and standard deviation (i.e. standard error) of ơ/ Vn. This lets us use z-values to set confidence intervals. Match the confidence levels to the z-values. Drag statements on the right to match the left. 68% confidence z= 1.96, interval µ±1.960/ /n 95% confidence 2.58. intervel u+ 2 58g/ n

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The central limit theorem tells us that the sample means follow a normal distribution with mean
µ and standard deviation (i.e. standard error) of ơ/ /n. This lets us use z-values to set
confidence intervals. Match the confidence levels to the z-values.
Drag statements on the right to match the left.
68% confidence
z=1.96, interval µ±1.960/ /n
95% confidence
z = 2.58, interval µ± 2.580/ /n
99% confidence
z = 1, interval u±o/ Vn
Transcribed Image Text:The central limit theorem tells us that the sample means follow a normal distribution with mean µ and standard deviation (i.e. standard error) of ơ/ /n. This lets us use z-values to set confidence intervals. Match the confidence levels to the z-values. Drag statements on the right to match the left. 68% confidence z=1.96, interval µ±1.960/ /n 95% confidence z = 2.58, interval µ± 2.580/ /n 99% confidence z = 1, interval u±o/ Vn
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