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The color, symbolizes the sun, the eternal source of energy. It spreads warmth, optimism, enlightenment. It is the liturgical color of deity Saraswati - the goddess of knowledge.
The shape, neither a perfect circle nor a perfect square, gives freedom from any fixed pattern of thoughts just like the mind and creativity of a child. It reflects eternal whole, infinity, unity, integrity & harmony.
The ' child' within, reflects our child centric philosophy; the universal expression to evolve and expand but keeping a child’s interests and wellbeing at the central place.
The name, "Maa Sharda;" is a mother with divinity, simplicity, purity, enlightenment and healing touch, accommodating all her children indifferently. This venture itself is an offering to her........
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Parametric and Non-Parametric Tests | Statistical Analyses PDF Module 9: Nonparametric Tests - Nova Southeastern University Examples - T-test, ANOVA, Z-test: . Difference Between Parametric and Non-Parametric Test: Explanation Nonparametric Statistics Selecting Between Parametric and Non-Parametric Analyses - Statistics ... weight before and after a diet for one group of subjects Continuous/ scale Time variable (time 1 = before, time 2 = after) Paired t-test Wilcoxon signed rank The data are not normally distributed, or have heterogeneous variance (despite being interval or ratio). Non parametric tests for group comparison with ordinal and nominal data ... How to test group difference between nominal and ratio data with ... The null hypothesis of the Levene's test is that samples are drawn from the populations with the same variance. Nonparametric Tests - Overview, Reasons to Use, Types Nonparametric Statistics . Assumptions of parametric tests: Populations drawn from should be normally distributed. The test variables are based on the ordinal or nominal level. Examples of non-parametric tests by Zikmund and Babin (2010) include situations where tests done on data provide information about n observations drawn from a population having a hypothesized value equal to the median of the population having an output value as the null median. It does not rely on any data referring to any particular parametric group of probability distributions. Non-parametric tests are experiments that do not require the underlying population for assumptions. 2. Parametric tests assume a normal distribution of values or a "bell-shaped" curve. • Non-parametric tests can often be applied to the nominal and ordinal data that lack exact or comparable numerical values. For these types of tests you need not characterize your population's distribution based on specific parameters. Non Parametric Test - Formula and Types - VEDANTU Parametric vs. non-parametric tests . A video to accompany:Miksza, P., & Elpus, K. (2018). Parametric versus non-parametric - Monash University Non-parametric tests are experiments that do not require the underlying population for assumptions. Nonparametric Tests: 8 Important Considerations in Using Them Many non-parametric tests for ratio, interval, or ordinal data calculate a statistic from a comparison of two or more samples and work in the following way. Variances of populations and data should be approximately… This method of testing is also known as distribution-free testing. A Gentle Introduction to Non-Parametric Tests The Chi-square statistic is a non-parametric (distribution free) tool designed to analyze group differences when the dependent variable is measured at a nominal level.