Answer:
You forgot to put the data
Step-by-step explanation:
Because we don't have the data that represent the responses to the survery I can show you how to can get the mean and the standard deviation.
The mean is the average of the numbers. We use it to get a representative value of the data we are manipulating. We calculate it by adding all the numbers and then divide the sum by how many numbers we have.
The formule we use is:
∑[tex]\frac{(the data we have)}{of the data}[/tex]
The standard deviation is a measure of the variation or dispersion of the data we have. A low deviation indicates that our data is few disperced, on the other hand a big deviation indicates a high dispersion of the data.
The formule we use is:
[tex]\sqrt{\frac{{∑(x-mean)^{2}}}{{number of data - 1} } }[/tex]
A random sample is the arbitrary selection of data in a non-preselected form.
This refers to the statistical error which is made when a researcher fails to select a sample which represents a population.
With this in mind, we can see that if a person is studying standard deviation or mean of a set of data and has a sampling error, then it would not give an accurate reading of the set of data.
Please note that your question is incomplete so I gave you a general overview to help you better understand the concept.
Read more about sampling error here:
https://brainly.com/question/6986586
