1Department of Crop Science and Technology, School of Agriculture and Agricultural Technology, Federal University of
Technology Owerri, PMB 1526 Owerri, Imo state. 2Department of Crop Science and Horticulture, Chukwuemeka Odumegwu
University, Uli, Anambra State. 3Department of Microbiology School of Biological Sciences, Federal University of
Technology, Owerri, P.M.B 1526 Owerri, Imo State. 4Department of Plant Health, College of Crop and Soil Sciences, Michael
Okpara University of Agriculture Umudike PMB. Umuahia, Abia State. *Corresponding author’s address:
firstname.lastname@example.org; phone: +2348062390097
Outlier is a questionable plot value which differs greatly from the mean of all other replications of a specific treatment while
trial error may occur as a result of a mistake in measurement or transcription during data collection or entry. The presence of
any of the two confounds the inferences made from the data analyses especially the F-statistic whose estimate is based on
sample means and variances. This report was intended to show how Genstat statistical software package assists in identifying
ailing data and consequently suggest ways of making corrections. Three sets of data comprising a set of data collected on
number of leaves (NLVS), data with error (NLVS-Error) and data where the erroneous datum recorded as missing (NLVSMissing) were subjected to analysis of variance test. The print option for READ data programme for error showed ‘‘skew’’
error message for the NLVS-Error data set, alone. When treated as missing value, NLVS-Missing, the output obtained was not
different from that of the actual data, NLVS. The observed error message is a pointer to an outlying value contained in the
data that is not conforming to the assumptions of independent and normal distribution of samples. Accordingly, such errant
data should be corrected by revisiting the field book and where not possible, the value should be treated as missing value and
resubmitted for analysis. Additionally, in plant or animal breeding experiments, if the outlying value is a confirmed true value,
the experimental unit is carefully protected for use as a source of improved gene or established as an entirely new variety.
Keywords: Outlier, measurement error, data handling, Genstat statistical software
Chinwe Catherine, E (2019). TRIAL ERROR AND OUTLIER IN AGRICULTURAL EXPERIMENT DATA AND THEIR HANDLIN. Afribary.com: Retrieved May 20, 2019, from https://afribary.com/works/trial-error-and-outlier-in-agricultural-experiment-data-and-their-handlin
Eze, Chinwe Catherine. "TRIAL ERROR AND OUTLIER IN AGRICULTURAL EXPERIMENT DATA AND THEIR HANDLIN" Afribary.com. Afribary.com, 28 Feb. 2019, https://afribary.com/works/trial-error-and-outlier-in-agricultural-experiment-data-and-their-handlin . Accessed 20 May. 2019.
Eze, Chinwe Catherine. "TRIAL ERROR AND OUTLIER IN AGRICULTURAL EXPERIMENT DATA AND THEIR HANDLIN". Afribary.com, Afribary.com, 28 Feb. 2019. Web. 20 May. 2019. < https://afribary.com/works/trial-error-and-outlier-in-agricultural-experiment-data-and-their-handlin >.
Eze, Chinwe Catherine. "TRIAL ERROR AND OUTLIER IN AGRICULTURAL EXPERIMENT DATA AND THEIR HANDLIN" Afribary.com (2019). Accessed May 20, 2019. https://afribary.com/works/trial-error-and-outlier-in-agricultural-experiment-data-and-their-handlin