A normal distribution has a mean of 200 and a standard deviation of 50. Find the 70% percentile for this distribution. A normal distribution has a mean of \mu = 30 with \sigma = 10. What proportion of the scores in this distribution are greater...
In this situation, we must assume that the data are normally distributed. If they are not, we are limited to the amount of analysis that we can... Learn more about this topic: Using the Normal Distribution: Practice Problems from
一批材料,直径12cm,标准差0.04a.求随机选择直径小于12.08的概率b.求样本大小为16,直径小于12.08的概率c.find the 90% percentile for the sample mean distribution 扫码下载作业帮搜索答疑一搜即得 答案解析 查看更多优质解析 解答一 举报 (a)直径12cm,标准差0.04,查高斯分布表随机选择直径小于12.08的概率:P{(X-...
Given a standardized normal distribution with μ = 54 and σ = 5, between what two X-values (symmetrically distributed around the mean) are 80% of the values? Assume the random variable X is normally distributed with mean μ = 50 and standard deviation σ = 7. Find ...
The IQ scores are normally distributed with a mean of 100 and a standard deviation of 15. Find the 90th percentile of the IQ distribution. Hint: Using a normal table, Probability = 0.4500, Z = 1.645 sd. What is the population standard deviation if a sco...
PercentileParametersClass QueryResultClass QueryResultOptionsClass RasterFunctionInfoClass RasterFunctionInfosClass RasterTypeInfoClass RasterTypeInfosClass RelateDescriptionClass RelatedRecordGroupClass RelatedRecordGroupsClass RelatedRecordSetClass RelateInfoClass RelateInfosClass RenderingRuleClass RgbColorDescriptionClass...
Double_t flat_top = fpol0->GetParameter(0);// get standard deviantion of bin contents in the flat regionDouble_t flat_top_stdev =0.;for(Int_t ibin=1; ibin<=hEstimator->FindBin(lMinimumAnchorPercentile); ++ibin) { Double_t content = hEstimator->GetBinContent(ibin); ...
slightly different from a normal or percentile approximate confidence interval in R. When creating a approximate confidence interval using a t table or student t distribution, you help to eliminate some of the variability in your data by using a slightly different base dataset binomial distribution....
Typically, I don’t use Z-scores and hypothesis tests to find outliers because of their various complications. Using outlier tests can be challenging because they usually assume your data follow the normal distribution, and then there’s masking and swamping. Additionally, the existence of outliers...
The NORM.S.INV function in Excel is not used to calculate the Z Score directly from a data point. Instead, it is used to find the Z value (also known as the Z Score) corresponding to a given cumulative probability in a standard normal distribution. The correct usage of the NORM.S.INV...