Doctoral statistical methods - Essay Example

Doctoral statistical methods Task Doctoral Statistical Methods Statistical methods analyze the characteristics of a population in response to a sample phenomenon. Inferences are prepared from observations of the representative samples. ‘Analytical and computational’ techniques assess the characteristics and sequence of the components on analysis (Chiang 2003). Therefore, analyzing the prenatal experiences of a child requires ‘qualitative and quantitative’ methodologies. Qualitative assessment is employed because the factors under observation are not measurable since the study focuses on assessment of responses in relation to sound.

These involve observation of track behavior, responses and associate it with the sound trigger. However, the assessors may apply quantitative analyses to determine the experiences of the 33 women. Quantitative data are used when the factors being analyzed are countable (Chiang 2003). The results of which are extrapolated to draw general deductions on whole populations. These methods analyze and explain data in relation to a phenomenon; furthermore, it provides guidance in the presentation of data.

The responses are studied for randomness and systematic sequences (Chiang 2003). The assessors correlate prenatal experiences with effects to sound by assessing the propensity to suckle in response to the most familiar readings. Consequently, the assessor must acknowledge the occurrences of sampling errors that may emanate from unique cases with the babies. These include the hearing ability, brain development, the general mood and appetite of the infant. Qualitative readings are represented scientifically in histograms, graphs and charts (Chiang 2003).

However, quantifiable data are summarized to measure the correlation, variability and central tendencies. Merging of the two methods in a mixed approach provides a comprehensive answer that determines the responses of speech and language amidst infants.ReferenceChiang, C. L. (2003). Statistical methods of analysis. New Jersey, NJ: World Scientific