Running head: STATISTICS PROJECT PROPOSAL 1
This paper is being submitted on July 31, 2016, for George Allmand’s G310 Advanced Statistics Course
.Population represented:
Men aged between 20 to 50 years (approximately 70 in number)
Women aged between 20 to 50 years (approximately 70 in number)
Variables:
Gender: categorical, male or female
Height: quantitative
Weight: quantitative
Age: quantitative
Amount of time spent on exercise each day: quantitative.
The data will be collected through a survey which will involve self-administered questionnaire, which will contain closed questions and open ended questions where one will be free to answer any question according to his/her knowledge without limitations.
The sample of my survey paper will be as follows:
1. What is your gender?
· Male
· female
2. Please indicate your height in figures
……………………………………………………………
3. Please indicate your weight in figures
……………………………………………….........
4. What is your age (please indicate a specific number and not a range)?
…………………………………………………………………………………..
5. What is your average time per day spent on exercise?
……………………………………………………………………..
I will use random sampling as my sampling strategy since it will reduce the bias in selecting the sample that will represent the whole population.
Statistical methods:
I will use t-Test to examine the Significance of the Difference between the Means of Two Independent Samples that is both the male and female groups.
The hypothesis to be tested is:
Null hypothesis: there is a difference between the average number of hours per week that men and women exercise.
Alternate hypothesis: there is no difference between the average number of hours per week that men and women exercise
The assumptions to be made are:
(i) That the two samples are randomly drawn from normally distributed populations
(ii) That the measures of which the two samples are composed of equal-interval.
From the analysis, I will be able to determine if there is any difference between the average number of hours per week that men and women exercise, and come up with a conclusion for my null hypothesis whether to accept or reject it.