Z检验统计量(Z-test Statistic)是用于衡量样本均值与总体均值或两个独立样本均值之间差异的一种统计量,它主要用于大样本且数据
The Z-test is a statistical hypothesis test that establishes where the test statistic we are measuring, like the mean, is part of the normal distribution.
[h,p] = ztest(___) also returns the p-value of the test, using any of the input arguments from previous syntaxes. example [h,p,ci,zval] = ztest(___) also returns the confidence interval of the population mean, ci, and the value of the test statistic, zval. exampleExamples...
检验统计量(test statistic):用于假设检验计算的统计量。 例如:Z值、t值、F值、卡方值。 显著性水平(level of significance):当零假设为真时,错误拒绝零假设的临界概率,即犯第一类错误的最大概率,用α表示。 例如:在5%的显著性水平下,样本数据拒绝原假设。 置信度(confidence level):置信区间包含总体参数的确信...
statistic contamination 统计性沾污 相似单词 statistic a. 1.统计(上)的;统计学的 n. 1.统计量;统计数值 TEST 1. 试验 test n.[C] 1.试验 2.化验;化验法;化验剂 3.检验;检验标准 4.测验;考察;小考 5.考验 v.[T] 1.试验;检验;测验(+for/in/on) 2.化验;分析(+for in test 试验期中 ...
In a one-sample test (either a t-test or a z-test), we will typically calculate one test statistic, and then either use that test statistic's critical values or a p-value to determine our conclusion. In a two-sample test, we are comparing means (for example, testing a claim that ...
大意为: 第一句:test statistic在不同的检验里服从不同的分布,例如服从正态分布,t分布,卡方分布和F分布(这也是常见的四种假设检验)。 第三句:上面的计算公式只是适用于test statistic服从z分布或t分布时的情况。(不适用于卡方和F分布)添加评论 0 0 1
Calculate the z test statistic (see below). Compare thetest statisticto the critical z value and decide if you shouldsupport or reject the null hypothesis. You could perform all these steps by hand. For example, you couldfind a critical value by hand, orcalculate a z value by hand. For...
What is the test statistic zstat= ?A cellphone provider has a business objective of wanting to determine the proportion of subscribers who would upgrade to a new cellphone with improved features if it were made available at a substantially reduced cost. Data are collected from a random sample ...
Understanding Z-Tests The z-test is also a hypothesis test in which the z-statistic follows a normal distribution. The z-test is best used for greater-than-30 samples because, under thecentral limit theorem, as the number of samples gets larger, the samples are considered to be approximately...