Statistical indicators and Arena input analyzer

Statistics
Arena software
Statistical indicators

1. 1)why P-value must be greater than 0.05?

2. The p-value is used to measure the strength of evidence against the null hypothesis and represents the probability of obtaining an effect as extreme as the one observed, assuming the null hypothesis is true. A common threshold for statistical significance is a p-value of 0.05, where results below this value are considered statistically significant, leading to rejection of the null hypothesis . This threshold is crucial for researchers in making decisions about accepting or rejecting the null hypothesis based on the evidence in the data. However, the paper highlights that the choice of significance level, including the 0.05 threshold , is somewhat arbitrary and should be carefully considered within the context of the specific study and field of research.

3. 2)What is meant by ''Norm( , )'' ?

4. ARENA uses a multiplicative congruential generator to produce uniformly distributed random numbers for selecting values from the specified distribution. It provides 10 random number streams to choose from and allows users to extend the range using the 'SEEDS' element. The generator used by ARENA has a cycle length of approximately 2.109 and is considered reliable . Additionally, it highlights the option to reset the seed value between simulation runs or allow the sequence of numbers to continue between runs. simulation using ARENA

5. 3)statistical indicator relates Mean with Standard deviation CV is the standard deviation divided by the mean. The CV is used to compare the standard deviation of data sets on a common scale. The CV is used as an indicator of the precision of a measurement system. In general, a coefficient of variation between 20-30 is acceptable, while a COV greater than 30 is unacceptable. The coefficient of variation, or CV What is an Acceptable Coefficient of Variation?

6. Z-test for comparing between distributions

7. The z-test is a hypothesis test with a z-statistic that follows a normal distribution . It is deemed most suitable for sample size s greater than 30, as the samples are approximated to be normally distributed under the central limit theorem . The process involves stating null and alternative hypotheses, specifying alpha and z-score , calculating the test statistic , and presenting the results and conclusion.