Statistical table

T & Z Score Table

1. STATISTICAL TABLEs

2. (Statistics) tables showing the values of the cumulative distribution functions, probability  functions, or probability density functions of certain common distributions for different  values of their parameters, and used especially to determine whether or not a particular  statistical result exceeds the required significance level.

3. T score table In statistics and probability,  the T score table is a member of a continuous distribution of probability that arises when the normally distributed population mean is estimated. This is done in conditions where the standard deviation of the population is unknown and the sample size is few. It was founded by William Sealy Gosset. T score shows the description of samples drawn from a complete population.  Accordingly, the T score table for each size of a sample is different, and the bigger the sample, the more the table shows the resemblance of a normal distribution. The T score table plays a vital role in a number of broadly used analyses of statistics. This includes linear regression analysis, Student’s t-test for the assessment of the statistical importance of the difference in the two means of the sample, the building up of confidence intervals for the difference of two population means. The T score table also arises from a normal family in the Bayesian data analysis. You can use nifty T score calculators from Stat Calculators to speed up computation.

4. Z score table In statistics, the Z score table is the standard deviation signed number by which a data or an observation is above the mean. A Z score table is a score that is derived. It is used to make interpretations that are norm-referenced, for which the standard deviation and the mean are selected to make the interpretations easier. A positive Z score table shows the indication of a datum that is above the mean, while a negative Z score table shows the indication of a datum that is below the mean. It is a quantity that is dimensionless gotten by the subtraction of the population mean from a single raw score and then the division of their difference by the standard deviation of the population. This process of conversion is called normalizing or standardizing. Z score can be calculated using a table or a z score calculator. The Z score table is mostly used in comparing a sample to a standard normal deviation, even though they may be defined without normality assumptions

5. USES Tables  are widely used in communication, research, and data analysis. To show many and precise numerical values and other specific data in a small space To compare and contrast data values with several shared characteristics or variables To show the presence or absence of specific characteristics