Description
Unformatted Attachment Preview
Purchase answer to see full attachment
Explanation & Answer
Attached.
Running Head: STATISTICAL ANALYSIS OF UNIVERSITY SURVEY
Statistical Analysis of University Campus Survey
Student Name
Course Name
Instructor Name
Institute Name
Date
STATISTICAL ANALYSIS
1
Statistical Analysis of University Survey Data
Section 1: Introduction
The prerequisite to any statistical analysis is data collection. To accurately
address the objective behind data collection, it is necessary to define the population and
the type of study. The community for the data collection is the university campus
students. A questionnaire is prepared with selective questions closely linked with the
University student, and the students were requested to fill the form. The entire data
collection is then cleaned with a partially filled questionnaire being rejected altogether.
Sampling Technique
A sample is taken out of the population to study the entire community through its
subset. The reason for drawing out the sample from the population is that collecting
data and information for the whole population is close to impossible, and the amount
of time and resources needed to perform analysis of the millions of observations is
beyond imaginable. However, a sample should have specific characteristics to deliver
a piece of accurate information about the population. It should maintain heterogeneity.
Maintaining heterogeneity which corresponds to the heterogeneity of the entire
population is always a perplexing task. Moreover, the sampling bias is another factor
that affects the resemblance of the sample from the population. To have a heterogeneous
sample with the least sampling bias is the ultimate goal.
Among the various sampling procedures, simple random sampling is used in the
selection of samples from the population. Simple random sampling provides an equal
opportunity for every element of a sample to be selected. The sample size for simple
STATISTICAL ANALYSIS
2
random sampling is 110, and the information acquired from each student includes maths
scores and overall GPA.
Description of the dataset
The dataset consists of 3 variables, one categorical variable, and two cont...