A statistical table is a way you can present statistical data by arranging the numbers systematically and describing some mass process or phenomenon.
A statistical table can be seen as a representation of a subject and a predicate. The subject is the group of phenomenon discussed in the table. The predicate is the characteristics that describe the subject.
Statistical tables consist of vertical columns and horizontal rows. The subject is usually entered in the rows of the table, while the predicate is entered in the columns. The column and row intersection forms the cells. This is where the numerical data will be arrayed. The headings of the corresponding column and row indicate what every number means.
Two types of statistical tables that are commonly used are; T score table and Z score table. They are distinguished in accordance with the structure of their subject.
Statistical tables have to contain all the vital information in a compact form. The table headings should be brief and precise. The measurement unit used in the table should be indicated, as well as the time and place of the information. Let’s take a close look at the two commonly used table – T score table and Z score table
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.
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.