z =0 and P(X< x) = 0.5 Explanation: z = (x-xbar)/sd, where xbar is the estimated mean or average of the sample, sd is the standard deviation, and x is the value of the particular outcome. We change x to z so that we can use the normal distribution or t-tables tables, which are based on a zero mean and 1 standard deviation. For example: What is the probability that the mean value of the distribution is 5 or less, given the sample average is 5 and the sd is 2? The z-score would be (5-5)/2 which is equal to 0. The probability, if we assume the normal or t-distribution, is 0.50. (see normal distribution tables) I hope this makes sense to you. The normal distribution is symmetrical. Per the example, a sample average of 5 tells you there is equal chance of the population mean being above and below 5.
No.
No. But there can be more than one data point which has the same value as the mean for the set of numbers. Or there can be none that take the mean value.
The minimum data value in a data set is simply the lowest value of the set (easily found by arranging the set from lowest-highest values in an excel sheet or by hand).
50
false
When the data set consistys of a single value.
You Get The Mean
The least value of the data set is called the minimum.
Every unique value has a unique distance from the mean, which leads to a unique z-score.
Yes.
No.
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It is a measure of the spread of the data around its mean value.
It is one of the key measures of a data set: it shows the value around which the observations are spread out.
No. But there can be more than one data point which has the same value as the mean for the set of numbers. Or there can be none that take the mean value.
mean is the average of numbers in the data set mode is the most frequently occurring value in a data set and median is the middle number of the data set so you would use mean