Normal population distribution calculator

    • [DOC File]Procedure

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      3. Population distribution is given as normal OR n > 40 (meaning t procedures are robust even if skewness and outliers exist) OR 15 < n < 40 with normal probability plot showing little skewness and no extreme outliers OR n < 15 with npp showing no outliers and no skewness Test for mean µ when σ is unknown (Ho: µ = µo)

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    • [DOCX File]Department of Mathematics

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      From table or calculator the 90th percentile for standard normal distribution is at z=1.2816. So answer is 90 + 1.2816*38 mg/dL =138.7 mg/dL Suppose that the “abnormal range” is defined to be glucose levels which are 1.5 standard deviations above the mean or 1.5 standard deviations below the mean.

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    • [DOC File]Topic 15:

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      To find areas under any normal distribution, you can either use your calculator or tables. We will use Z to denote the standard normal distribution and will consider 3 cases: P(a < Z < b) is the area under the standard normal curve between a and b.

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    • [DOCX File]Weebly

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      This tells the calculator to choose an SRS of 16 observations from a Normal population with mean M and standard deviation 20, and then compute the mean X of those 16 sample values. Now for the challenge! Your group must determine an interval of . reasonable. values for the population mean . μ.

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    • [DOC File]CONFIDENCE INTERVALS

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      CALCULATOR One Mean. population ( is known. SRS, large sample size (n ( 30) OR. approximately normal population distribution (no outliers and very little skewness) z = STAT(TESTS(Z-Test (1) OR. Zinterval (7) One Mean. population ( is NOT known. SRS, large sample size (n ( 30) OR

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