One advantage to using central tendency is the fact that is represents all data. A disadvantage to using central tendency is the fact that extremes can skew the data.
The four measures of central tendency are mean-also called average, mode-the most frequently occurring numerical, median-the middle number after arranging all data from lowest to highest numerical and lastly standard deviation-root-mean-square or square-root of the variance. These are the 4 measure of central tendency.
Range is NOT a measure of central tendency. In a number of distribution - though by no means all - the mean, median and mode are near the middle of the distribution. That is more likely to be the case with a large number of observations (or experiments).
Interval-Ratio can use all three measures, but the most appropriate should be mean unless there is high skew, then median should be used.
A repeated measures design involves all participants being used for all possible setups. For example, if you were testing how different music genres effected performance on a spelling test, you would give each participant multiple spelling tests for each genre. Independent measures means that different participants are used for the different setups.
they are all measures of central tendency.
There is no single number. There are several different measures of central tendency - different ones are better in different circumstances. Then there are several measures of spread or dispersion, skewness and so on. All of these are characteristics of the data and they cannot all be summarised by a single number.
That depends on the quadrilateral. They will not all have the same measure. Even rectangles will not all have the same central angle measures.
they measure the same
They are all the same.
One advantage to using central tendency is the fact that is represents all data. A disadvantage to using central tendency is the fact that extremes can skew the data.
They are statistical measures that are used, when appropriate, to summarise the central tendency of a set of data. That is, given a number of observations, these measures can give an indication of the value near which they all are.
The four measures of central tendency are mean-also called average, mode-the most frequently occurring numerical, median-the middle number after arranging all data from lowest to highest numerical and lastly standard deviation-root-mean-square or square-root of the variance. These are the 4 measure of central tendency.
Because they are both measures of the same characteristic - the central tendency.
First of all, no one can turn gay. Second, there's no such thing as "gay tendencies." Either a person is gay or they are not gay.
Now that Central was bought out by Swift, the former Central drivers tend to say that Central was a better company, although I can't think it was all that great if they're staying with Swift
ANS: Measures of central tendency will quantify the middle of the distribution. The measures in case of population are the parameters and in case of sample, the measures are statistics that are estimates of population parameters. The three most common ways of measuring the centre of distribution is the mean, mode and median.In case of population, the measures of dispersion are used to quantify the spread of the distribution. Range, interquartile range, mean absolute deviation and standard deviation are four measures to calculate the dispersion.The measures of central tendency and measures of dispersion summarise mass data in terms of its two important features.i. With respect to nature of data to cluster around a central valueii. With respect to their spread from their central valueArithmetic mean is defined as the sum of all values divided by number of values.Median of a set of values is the middle most value when the values are arranged in the ascending order of magnitude.Mode is the value which has the highest frequencyThe measures of variations are:i. Range (R)ii. Quartile Deviations ( Q.D)iii. Mean Deviations (M.D)iv. Standard Deviations (S.D)Coefficient of variation is a relative measure expressed in percentage and is defined as:CV in %=