Calculate the sample standard deviation for this data set: 65, 48, 70. The formula for the sample standard deviation is shown, where ?n represents the sample size, ?x represents each value in the data set, and ?⎯⎯⎯x¯ represents the sample mean. ?=∑(?−?⎯⎯⎯)2?−1⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯√s=∑(x−x¯)2n−1 Step 1. Calculate the sample mean. ?⎯⎯⎯x¯ = Step 2. Calculate the deviations and the squares of the deviations. deviation of 65= square of deviation of 65= deviation of 48= square of deviation of 48= deviation of 70= square of deviation of 70= Step 3. Calculate the sample variance and the sample standard deviation. Provide your sample standard deviation answer precise to one decimal place. sample variance = sample standard deviation =
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
Calculate the sample standard deviation for this data set: 65, 48, 70. The formula for the sample standard deviation is shown, where ?n represents the
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