Biostatistics

    From the previous  topic, we learned about test of significance, a procedure for comparing observed data with a claim or hypothesis or predicted data. This test of significant is used to test e claim about an unknown population and for testing the research hypothesis against the H0. Null …

Sometimes, in the experiment, we measure the two continuous characters which are associated with each other. For example, the height of plant and the temperature of the atmosphere. To understand the relationship between two such variables, we need to know how they are related and how the relationship can be …

We can test the significance of the two sample means by using a t-test. However, in cases where there are more than two samples, it is done by Analysis of Variance (ANOVA). This method is carried out by comparing sample variances using Variance Ratio Test or F test. So at …

 Sampling Measuring a small portion of something and then making a general statement about the whole thing is known as sampling. Sampling is a process of selecting a number of units for a study in such a way that the units represent the larger group from which they are selected. …

Objectives of this article To understand What is statistics What is biostatistics Scopes of statistics What is variable What is random variable Types of variables What is qualitative or discrete variable What is quantitative or continuous variable Practical examples of qualitative or quantitative variables Statistics Statistics is defined as a …

Objectives of this article To understand What is population. What is sample. The differences between population and sample. What is parameter and statistic. The differences between parameter and statistic. What is sampling. What is random sampling. Importance of random sampling. The biasness in sampling. Population In statistics, a population is …