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Step 1: Define the target population

The target population for this research is very broad. Although the client specified interest in

families, they arent opposed to hearing feedback from any group of people weather they have

attended a Heat game or not. For this reason, we are adhering only to the below listed parameters

in order to obtain a high incidence to get a large pool of results.

Individuals 18 years or older Residents of the lower mainland

Step 2: Identify the sampling frame

The main element that will draw in the sample will be internet based. We will attempt to reach

our target population by sending out emails to the student population at UFV since this database

already exists. We would like a broader scope than just students, we have invited anyone who

would like to take the survey to take the survey. Individual students have been sharing a link to

the survey on social media sites for example. This is a good method because of the exponential

effect that social media has.

Step 3: Select a sample procedure.

We believe that for this research, it will be most effective to use a stratified sample procedure.

The reason for this is, we are planning on receiving responses from a large array of respondents,

and because of the method of the survey administration, it may be possible that with a random

sample we could leave out an important part of the demographic. For example, we plan on

hearing from a lot of young people and students, and that is great, but the responses from

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families and seniors is also very important, and will be lesser due to the method of

administration, but if we stratify these different demographics, and choose randomly from them,

we will be more likely to include more of these other demographics.

Step 4: Determine the sample size

Based on results of similar surveys administered in the past by the exact same method, and for

the same amount of time, we have reasonably estimated that we will receive approximately 500

responses, and of those responses as many as 400 will meet the criteria and be useable samples.

Step 5: Select the sample elements

We will select samples from all elements that within our target population as listed above, with

particular emphasis on families.

Step 6: Collect data

The negatives collecting data and reaching respondents online, are of course that there is a

portion of the target population that does not regularly access the internet, which could produce

biased results. This method also opens the survey up to some unwanted respondents, increasing

opportunity for error.

When collecting data for our sampling plan, we need to compute the sampling error (margin of

error) to find errors in our research that wed expect to overcome. The results can show us how

accurate and trustworthy we can measure our survey results. A higher margin of error around an

estimated value, the less accurate the estimated value is.

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Using this formula, we can compute our Margin of Error (MOE) using a 95% confidence interval

(z), and our population size (n) is 500.

MOE= z/2/(2 n) MOE= Z.05/2/(2500) MOE=1.96/44.72136 MOE= .0438 or 4.38%

The results indicate that in our research for collecting data for our sampling plan, the gained

results might not be accurate by 4.38% due to our margin of error. The difference between our

statistic and the values wed expect over many repetitions of sampling is 4.38%.