Mean and Spread of the Comparison Distribution

Related BrainMass Solutions

• Properties of Data Distributions

  Negatively skewed distribution a. Mean = Median = 50. In a normal distribution the mean is equal to the median and the distribution is evenly spread on both sides of the mean. b. Mean = 50, Median = 40.

• The Probability Distribution of a Less Risky Expected Return

  The peak of a normal distribution bell shaped curve is always at its mean, and the spread on the two sides of the mean indicates the variance (or the standard deviation, which is the square-root of the variance).

• Measure of Central Tendency

  The standard score indicates how many standard deviations an observation is above or below the mean. It allows comparison of observations from different normal distributions. 4. What happens to the mean in a skewed distribution?

• Understanding standard deviation and z score.

  The variance is a measure of how spread out a distribution is. It is computed as the average squared deviation of each number from its mean. The formula for the standard deviation is very simple: it is the square root of the variance.

• Frequency Distribution with Skewed Data

  However, if the data distribution is skewed, it affects the usability of standard error and not being good measures of variability as spread varies between the left and right of the peak value and a uniform value of the spread cannot be applied to such

• range, variance & standard deviation for this data series

  In a normal distribution, about 68% of the scores are within one standard deviation of the mean and about 95% of the scores are within two standards deviations of the mean.

• Skewness of a Distribution

  A symmetric distribution (usually you see one peak in the middle - indicating that there are a lot of data points near the middle value - and symmetrical sloping down on either side of the peak) has a mean and median that are at approximately the same

• normal distribution

  173679 normal distribution populations Suppose you have a sample from a population with a normal distribution with mean 0 and variance 1. What happens when you increase the mean and why? What happens when you increase the variance and why?

• The spread in the annual prices of stocks selling for under $10

  The spread in the annual prices of stocks selling for under $10 and the spread in prices of those selling for over $60 are to be compared. The mean price of the stocks selling for under $10 is $5.25 and the standard deviation $1.52.