Skewed data is data mainly being biased on one side of the distribution. A cause of skewed data is: Option A: a sample with not enough observations from the population being measured
What is skewed data?
Data, which if plotted (histogram), is found to be such that its one tail is longer than other(major peak is like leaning on one side of the graph, and not symmetric), is called a skewed data.
This shows that a particular group of data is collected in the given range and collection wasn't done randomly(since randomly selected data(large enough) tends to normal distribution which is symmetric).
- The first choice: "a sample with not enough observations from the population being measured" is a valid enough reason for data being skewed, since its not large enough, thus, more vulnerable to be biased on a particular sub category of population and not containing all properties of the population. That might result in the data being skewed. Also, sometimes due to small sample size, no patterns at all are captured and its all just trash data, no use.
Good sample size makes the sample grab and pertain some properties of population. When sample is really small, it is more probable to be skewed compared to be symmetric as symmetry becomes rare on small level.
- Second option is false as random samples generate symmetric data(if they're large enough)
- Third option might be or might not be true as it is now depending on the population. If population is skewed, then yes, the inclusive sample will be skewed.
- Fourth option is randomly picking data points which are unknown, again, it will depend on its size.
Thus, a sufficient stand alone 'cause of skewed data' is
Option A: a sample with not enough observations from the population being measured
Learn more about skewed distribution here:
https://brainly.com/question/1604092
