In statistic tests, the probability distribution of the statistics is important. When samples are drawn from population N (µ, σ(2)) with a sample size of n, the distribution of the sample mean X̄ should be a normal distribution N (µ, σ(2)/n). Under the null hypothesis µ = µ0, the distribution of statistics [Formula: see text] should be standardized as a normal distribution. When the variance of ...

This study aims to get a real picture of the Capital Market Reaction Corona Covid-19 Virus Outbreak (Study on LQ-45 Companies Listed Indonesia Stock Exchange). The analytical tool used is descriptive statistical analysis and classical assumption test. To test hypothesis, it done using data in form Paired Sample T-Test program "Product Service Solution" (SPSS). results hypothesis testing paired ...

This research aims to determine whether there are differences in stock prices, returns and abnormal before after a split high profile low companies. The period used this study was on 2016-2018. analyzed quantitative method by using purposive sampling method. Based the criteria, 40 companies were selected as samples. Kolmogorov Smirnov One Sample test for normality test. After carried out, data ...

Non-parametric paired analyses are approached through the same logic as the parametric paired t-tests: a 2 sample paired analysis can be reduced to a 1 sample test by creating a single distribution of the differences between each pair. If the distribution of the differences are nonnormal, and cannot be normalized by transforming the data to some other ratio scale, a 1 sample non-parametric test...

The one-sample paired t-test may be used to test whether the mean difference of two populations is greater than, less than, or not equal to a specific value. Because the t distribution is used to calculate critical values for the test, this test is often called the paired t-test. If the standard deviation of the differences is known, the normal distribution is used instead of the t distribution...