Investigative Statistics

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Investigative statistics
Date:
Name:
College:

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Abstract
The objective of this study was to gather and analyze data about the usage of an online product
store. The developer was interested in knowing how several variables determine the performance
of her store in terms of the money spend by customers visiting the store. The variables involved
were customer age, gender, attitude towards the store website and the time spent on the website.
Analysis shows that the relationship between customer attitude and the amount of money spend
on the online store is very weak. Therefore we can conclude that the customer attitude does not
determine customer spending. It is also evident that there is some linear relationship between age
and the amount of money spend online. We observe that, as age increases, the amount of
spending increases. This can be interpreted to mean that older people have better jobs and
therefore they have more money to spend. The relationship between age and the time spent on
the website is very weak which indicates that age has no influence on the length of time a
customer spends on the online store. However, we observe that the average amount of money
spent by male customers is almost equal to the average money spent by female customers.
Question 1
1. Hypotheses
a) The average time for customers spending more than the median spend is equal to the average
time for customers spending less than the median spend.
This is a one tail hypothesis
This is a null hypothesis

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b) The average money spend by a customer is greater than the average attitude.
This is a two tailed test
This is an alternate hypothesis
c) The average money spent by female users on the website is equal to the average for males.
This is a one tailed test.
This is a null hypothesis
d) The average time spend on the web store by male customers is equal to the average time spend
by female customers.
This is a null hypothesis
This is a one tail hypothesis.
2. Descriptive statistics
Descriptive statistics are the foundation of the quantitative analysis of research data. They
provide a straightforward summary of the data.
AGE ATTITUDE TIME SPENT AVERAGE
SPEND