If the Z-Score corresponds to the standard deviation, then the distribution is "normal", or Gaussian.
just use your brain and study be smart think and double check your work
A normal distribution simply enables you to convert your values, which are in some measurement unit, to normal deviates. Normal deviates (i.e. z-scores) allow you to use the table of normal values to compute probabilities under the normal curve.
The Central Limit Theorem (CLT) says no such thing! In fact, it states the exact opposite.The CLT sets out the conditions under which you may use the normal distribution as an approximation to determine the probabilities of a variable X. If those conditions are not met then it is NOT OK to use the normal distribution.
curve fitting is a very difficult and time wasting method while regrresion is more to use as compare to curve fitting
The mode is the most probable value, or the peak of the probability distribution curve. There might be more than one mode if the curve has more than one peak. The mean is the arithmetic average of all obervations. If the probability curve is symmetrical, the mean will be the same as the mode, or the same as the average of the modes. The median is the average of the two furthest outliers. Again, if the curve is symmetrical, the median, mode, and mean are all equal. Outliers, errors, fluctuations, assymmetries - they all change or tilt the results. Which method you use depends on what you want to know, and on how you want to use the results.
The mean must be 0 and the standard deviation must be 1. Use the formula: z = (x - mu)/sigma
it must be normally distributed
just use your brain and study be smart think and double check your work
Determine the Correlation Coefficient. These are tedious calculations, so it is best to use statistics programs or calculators.
A normal distribution simply enables you to convert your values, which are in some measurement unit, to normal deviates. Normal deviates (i.e. z-scores) allow you to use the table of normal values to compute probabilities under the normal curve.
why would you use a semi-logarithmic graph instead of a linear one?what would the curve of the graph actually show?
Management's use of an experience curve could help them avoid costly risks. However, repeated actions must be performed in this management style which could push production efforts back.
The Central Limit Theorem (CLT) says no such thing! In fact, it states the exact opposite.The CLT sets out the conditions under which you may use the normal distribution as an approximation to determine the probabilities of a variable X. If those conditions are not met then it is NOT OK to use the normal distribution.
Use the Arc Tool. First make a line from one end of the arc to the other. Then, move the mouse outwards to determine the curve.
P88. He uses his own stick curve.
Treat the sole as a rectangle. measure length and width. If there is a curve, estimate center of curvature. measure radius. measure length of curve in arc lengths. Determine number of radians. use formula for cylinder, replacing 2 (pi) with number of radians. Subtract length of shoe by the length of curve in the sole. Calculate area
Ease of use