The population data may be skewed and thus the mean is not a valid statistic. If mean > median, the data will be skewed to the right. If median > mean, the data is skewed to the left.
True
Suppose you compare the mean of raw data and the mean of the same raw data grouped into a frequency distribution. These two means will be
Either can be used for symmetrical distributions. For skewed data, the median may be more a appropriate measure of the central tendency - the "average".
No, not all data sets have a mode but all data sets have a mean and median.
find assumed mean data is 46,55,52,59,63,47,56,50,51,55 ,
if it is valid or not
A term used to describe the certainty of data or results of an investigation or experiment(im a honor role student and a 5th grader)
pipistrello
With controlled experiments it is taken into consideration what possible variables there could be and it is taken into account when conducting the experiment. This would mean that controlled experiments would produce more valid data.
You can use them to describe the central tendency of the data but no more than that.
Yes.
No, descriptive data is not a technique; it is data that describe the sample such as mean, SD, mode, and range.
No, not always. It depends on the type of data you collect. If it is quantitative data, you will be able to calculate a mean. If it is qualitative data, a mean can't be calculated but you can describe the data in terms of a mode.
mode, mean and median
2,5,4,5
A descriptive statistic describes the characteristics of a known set of data; such as mean, median, mode, range, standard deviation and so forth.
A test statistic is used to test whether a hypothesis that you have about the underlying distribution of your data is correct or not. The test statistic could be the mean, the variance, the maximum or anything else derived from the observed data. When you know the distribution of the test statistic (under the hypothesis that you want to test) you can find out how probable it was that your test statistic had the value it did have. If this probability is very small, then you reject the hypothesis. The test statistic should be chosen so that under one hypothesis it has one outcome and under the is a summary measure based on the data. It could be the mean, the maximum, the variance or any other statistic. You use a test statistic when you are testing between two hypothesis and the test statistic is one You might think of the test statistic as a single number that summarizes the sample data. Some common test statistics are z-score and t-scores.