825 WordsNov 19, 20164 Pages

The study employed independent t-test and chi-square test to make a comparison (to make sure the presence or absence of difference) between the participant and non-participant households. The mean values of continuous variables in the two categories were compared using independent t-test. The result of independent t-test pointed out the presence of a significant mean difference between the two categories in terms of age of household head, total household income, frequency of extension contact and distance to market. The result indicated that the mean age of participant households (44.73 years) was less than the non-participant households (48.59 years). The study also showed that those farmers who were participating in off-farm and non-farm activities had relatively better mean total income than non-participants. The mean value of total household income earned by those farmers who were engaged in off-farm and non-farm employment opportunities was Birr 17103.55, while it was birr 7628.77 for non-participant households. Furthermore, it also indicated that those households who were engaged in off-farm and non-farm employment income generating activities had less frequency of extension contact than those households who were not participants in off-farm and non-farm activities. The mean value of extension contact received by participant households was 12.35 contacts, while it was 17.38 for the non-participant household. Moreover, the finding of the study showed that the mean

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## The Utilization Of T Test

999 Words | 4 PagesThe utilization of t-test, ANOVA, and comparing group means are essential in social research. When the researcher uses a test, the goal is to compare the averages of the two groups in order to determine if the sample population has shown any differences in the variables studied. Comparing group means through t-test and ANOVA is needed in social research as its goal is to produce results from the sample that can be generalized to the the population. In this paper will discuss what the author of

## T-Test Questions

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## A T Test

1338 Words | 6 PagesA t-test was conducted in order to ascertain the t-distribution of participants under the null hypothesis in order to determine if the data sets vary significantly from one another. To note, the age range of the participants involved in this research ranged from individuals between the ages of 17 into their late 50s. The huge range of ages among the participants provide a workable foundation on how age is observed to have a distinct form of impact on how each person responds to the experiment and

## An Independent T-Test Was Done On Each Item Of The Evaluation

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## Statistic Analysis : T Test

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## The T-Distribution and T-Test

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## A Research Study On T Test

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## Analysis : Chi Square Analysis

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## Chi-Square Measurement and Misuses

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## Probability: The T-Test Statistic

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### The Utilization Of T Test

999 Words | 4 Pages### T-Test Questions

549 Words | 2 Pages### A T Test

1338 Words | 6 Pages### An Independent T-Test Was Done On Each Item Of The Evaluation

1061 Words | 5 Pages### Statistic Analysis : T Test

1524 Words | 7 Pages### The T-Distribution and T-Test

1259 Words | 6 Pages### A Research Study On T Test

1233 Words | 5 Pages### Analysis : Chi Square Analysis

2594 Words | 11 Pages### Chi-Square Measurement and Misuses

484 Words | 2 Pages### Probability: The T-Test Statistic

1146 Words | 5 Pages

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