Explain and discuss with examples, the practical value of the z-score.Post your response (150-200 words)

From Descriptive Statistics to Inferential Statistics / Z-score Normal Curve Standard Error of the Mean Estimation with Confidence Intervals Normal distribution it i s Rossi A. Hassad, PhD, MPH \\ :' \\\\-w 5 70 85 100 115 130 145 2002 Encyclopata Britmnics, he This module addresses how we use statistics to describe data and make inferences about larger groups/populations from samples. We begin with the basics of the normal distribution, a fundamental concept in both descriptive and inferential statistics. Next, we examine the Z-score, which shows how individual data points relate to the overall distribution. This helps us to determine how far a specific score deviates from the mean, expressed in terms of standard deviations. We also explore the Standard Error of the Mean (SEM), a measure of the precision of the sample mean as an estimate of the population mean. Understanding SEM is essential for conducting hypothesis tests and constructing confidence intervals, helping us predict where population parameters will likely fall with a certain level of confidence