
Respuesta :
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. Â 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.
What is Sampling Error?
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