Latin Square Design: Basic Concept, Example, Demonstration in Agri Analyze and Quiz
Agricultural Statistics
by
1M ago
 This blog explains Latin Square Design basics like when to use design, how to perform randomization, ANOVA structure, solved example and demonstration in Agri Analyze platform. Link of blog for quiz is given at the end. (Reading time 15-20 mins.) Latin Square Design (LSD) In agricultural field experiments, fertility gradients often run parallel to one side of the field. Occasionally, these gradients run parallel to both sides and in a new field, the predominant gradient direction may be unknown. In other words, when the experimental field is divided into smaller plots (experimental units ..read more
Visit website
Randomized Complete Block Design (RCBD): Theory, Example and Demonstration in Agri Analyze tool
Agricultural Statistics
by
1M ago
 This blog explains RCBD design in detail, guides step by step to perform analysis and demonstrates its analysis online using Agri Analyze tool. Link of the MCQ is shared in bottom! (Reading time 15 min) Introduction             Experimental design is a systematic approach in scientific research, essential for investigating relationships among variables. It ensures valid and interpretable results through randomization, replication and control. Randomization distributes extraneous variables evenly, reducing bias. Replication increases ..read more
Visit website
Paired T test with solved example
Agricultural Statistics
by
1M ago
1.             Introduction         A paired t-test compares the means of two related groups to determine if there is a statistically significant difference between them. This test is used when the same subjects are measured twice, such as before and after a treatment. By analyzing the differences between paired observations, the paired t-test accounts for variability within subjects, making it a powerful tool for detecting changes or effects in experiments and repeated-measures studies. 2.    ..read more
Visit website
Two independent sample T-test
Agricultural Statistics
by
1M ago
(Reading time 10 min) This blog is about two sample t test theory, solved example and steps to perform analysis online along with interpretation in Agri Analyze platform 1.              1.               Introduction A two-sample independent t-test is a statistical method used to determine if there is a significant difference between the means of two independent groups. This test is particularly useful in comparing the average performance, outcomes or measurements of two distinct groups ..read more
Visit website
A Deep Dive into One Sample t-Test Using Agri Analyze: Tutorial and Example
Agricultural Statistics
by
1M ago
  A Deep Dive into One Sample t-Test Using Agri Analyze: Tutorial and Example (10 min) The blog is about concept of one sample t test, formula, interpretation, solved example and demonstration in Agri Analyze tool 1. Introduction The one-sample t-test is a statistical method used to determine if the mean of a single sample is significantly different from a known or hypothesized population mean. It is widely used in various fields to test hypotheses about population means when the population standard deviation is unknown and the sample size is relatively small. 2. When to Use a One-Sample ..read more
Visit website
Completely Randomized Block Design analysis with Agri Analyze
Agricultural Statistics
by
2M ago
  Introduction Experimental design in agriculture is a systematic approach to planning and conducting field experiments. It involves designing the layout of experimental plots, allocating treatments and randomizing treatments to minimize bias. Common designs include Completely Randomized Design (CRD), Randomized Complete Block Design (RCBD), Factorial design, Split-plot design, and Latin square design. These designs help evaluate the effects of different factors on crops, soils, pests and other agricultural outcomes. By providing reliable and reproducible results, experimental design guid ..read more
Visit website
Split Plot questions
Agricultural Statistics
by
2y ago
Loading ..read more
Visit website
R packages for Analysis of Design of Experiments
Agricultural Statistics
by
2y ago
Design of experiments (DoE) involves choice of treatments, allotment of treatments to experimental units, laying out of experimental units as per the conditions, analyzing the collected data and evaluate the factors that influence the variable of interest mostly yield in the agriculture study. All the agriculture experiments are required to use different designs as per the need of the experiment.  Analysis of these experimental designs needs in-depth knowledge of the subject matter as well as analytical tools like SPSS/ Python/ SAS/ R/ STATA. Among the different analytical tools availabl ..read more
Visit website
Factorial Concept Quiz
Agricultural Statistics
by
2y ago
Loading ..read more
Visit website
Correlation Quiz
Agricultural Statistics
by
2y ago
Loading ..read more
Visit website

Follow Agricultural Statistics on FeedSpot

Continue with Google
Continue with Apple
OR