Question

Етістіктердің ережесі ​

Answer 1

Ответ:

Етістік - сөз табы. Етістік - заттың іс-қимылын білдіреді. Етістік - "не істеді?" , "не қылды?" , "қайтті?" сұрақтарына жауап береді. Етістік мысал: істедім-істеді-істедік, жаттым-жатты-жаттық, жасадым-жасады-жасадық, тықтым-тықты-тықтық, итердім-итерді-итердік, сүйдім-сүйді-сүйдік т.с.с.

Answer 2

The Rules of Statistics

The rules of statistics, also known as statistical principles or principles of statistical inference, are a set of guidelines and procedures that govern the proper use and interpretation of statistical methods. These rules ensure that statistical analyses are conducted in a rigorous and reliable manner, allowing researchers to draw valid conclusions from their data.

While there are several different sets of rules and principles in statistics, some of the most fundamental ones include:

1. Random Sampling: In order to make valid statistical inferences about a population, it is important to obtain a representative sample that is selected randomly from the population. This helps to minimize bias and ensure that the sample is a good reflection of the population as a whole.

2. Statistical Significance: Statistical significance is a measure of the likelihood that an observed effect or difference in a sample is not due to chance. It is typically assessed using hypothesis testing, where a null hypothesis is tested against an alternative hypothesis. If the p-value (a measure of statistical significance) is below a predetermined threshold (usually 0.05), the result is considered statistically significant.

3. Confidence Intervals: Confidence intervals provide a range of values within which the true population parameter is likely to fall. They are calculated based on the sample data and the desired level of confidence (e.g., 95%). Confidence intervals help to quantify the uncertainty associated with estimating population parameters from sample data.

4. Central Limit Theorem: The central limit theorem states that the sampling distribution of the mean (or other sample statistics) approaches a normal distribution as the sample size increases, regardless of the shape of the population distribution. This theorem is the basis for many statistical tests and allows for the use of parametric methods in statistical analysis.

5. Law of Large Numbers: The law of large numbers states that as the sample size increases, the sample mean (or other sample statistics) will converge to the population mean. This principle underlies the idea that larger samples provide more reliable estimates of population parameters.

These are just a few examples of the rules and principles that guide statistical analysis. It is important to note that the specific rules and procedures may vary depending on the statistical method being used and the context of the analysis.