Application of T-tests for Horticulture Data (Watermelon, Mangoes) with an Example Problems and Solutions

Abstract

Introduction William Sealy Gosset, who developed the tstatistic and published it under the pseudonym of Student in 1908 (1). Assumptions and conditions of t-test The sample is drawn from normal population All observations in the sample are independent Sample size lies between 5 and 30 The hypothetical value is a correct value of population mean The sample values are correctly measured and recorded (2, 3) Materials and Methods One sample t-test Example problem 1 The weights of 14 watermelons in a farm in kgs are 6.4, 8.5, 5.5, 7.5, 6.5, 4.5, 5.3, 2.5, 2.4, 4.5, 5.5, 3.5, 3.2, and 4.2. As per old This study provides an understanding of t-tests and its application in horticultural data. This article helps to readers or scientists, how to analyse the data by using t-test, what are assumptions, conditions for application of t-tests. If the sample size is greater than 30 we will go for Z-test. t-test is an inferential statistical test that determines whether there is a statistically significant difference between population mean and sample mean, or two population means. International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 8 Number 03 (2019) Journal homepage: http://www.ijcmas.com K e y w o r d s One-sample t-test, Two-sample t-test, Paired t-test, Null Hypothesis, Alternative Hypothesis Accepted: 10 February 2019 Available Online: 10 March 2019 Article Info Int.J.Curr.Microbiol.App.Sci (2019) 8(3): 960-964 961 records, the mean weight of watermelon of that farm is 6kg. Test for the significance.