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Total Population of Age (Years) of People that Smoke

Total Population of Age (Years) of People that Smoke

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Page 1: Total Population of Age (Years) of People that Smoke

Total Population of Age (Years) of People that Smoke

Page 2: Total Population of Age (Years) of People that Smoke

Pie Chart of Males and Females that SmokeSystematic Gender SampleTotal Population: 32

Page 3: Total Population of Age (Years) of People that Smoke

Bar Graph of Males and Females that Smoke Systematic Gender SampleTotal Population 32

Page 4: Total Population of Age (Years) of People that Smoke

Pareto Chart of Males and Females that Smoke Systematic Gender SampleTotal Population 32

Page 5: Total Population of Age (Years) of People that Smoke

Pie Chart of Males and Females that SmokeRandom Number GenerationTotal Population: 32

Page 6: Total Population of Age (Years) of People that Smoke

Bar Graph of Males and Females that SmokeRandom Number GenerationTotal Population: 32

Page 7: Total Population of Age (Years) of People that Smoke

Pareto Graph of Males and Females that SmokeRandom Number GenerationTotal Population: 32

Page 8: Total Population of Age (Years) of People that Smoke

Part 1&2 Response:

• My group and I decided to use the exhale study data. I obtained my samples by viewing the differing categories affiliated with my particular population. Part one of the assignment was to complete a pie chart for the total population sample.

• My group and I decided to do a systematic measurement of my samples, counting increments of 20 up to 32 places for smokers and nonsmokers in both males and females. These readings indicate that more females smoked versus the males. We used StatCrunch to graph the data.

• Our next sampling method, we decided to do the random number generating. Where we used StatCrunch to randomize the data chart. Both the systematic and the random number generating measurements share similarities with the general population measurements as all of them indicate a greater number of female smokers versus male smokers.

Page 9: Total Population of Age (Years) of People that Smoke

Frequency Histogram Systematic SampleTotal Population 35

Freq

uenc

y

Forced Expiratory Volume in Liters

Total Population For 655 SamplesPopulation Mean: 2.6382Standard Deviation: 0.866395955

Sample 35 (Every 20th Sample)Sample Mean: 2.722205882Standard Deviation: 1.040687351

Page 10: Total Population of Age (Years) of People that Smoke

Box PlotSystematic SampleTotal Population 35

Total Population For 655 SamplesPopulation Mean: 2.6382Standard Deviation: 0.866395955

Sample 35 (Every 20th Sample)Sample Mean: 2.722205882Standard Deviation: 1.040687351

Page 11: Total Population of Age (Years) of People that Smoke

Frequency Histogram Random Number GenerationTotal Population 35

Random Sample (Using Random Number Generation) 35 Values

Sample Mean: 2.713457143Standard Deviation: 3.561204554

Page 12: Total Population of Age (Years) of People that Smoke

Box PlotRandom Number GenerationTotal Population 35

Total Population For 655 SamplesPopulation Mean: 2.6382Standard Deviation: 0.866395955

Random Sample (Using Random Number Generation) 35 Values

Sample Mean: 2.713457143Standard Deviation: 3.561204554

Page 13: Total Population of Age (Years) of People that Smoke

Part 3 Response:

• As a group we chose a quantitative set of data which was the Forced Expiratory Volume in Liters. Using the Systematic Sampling Method, we chose every 20th number from the population sample totaling 35 samples. In the Excel program, the mean and standard deviation for the sample were calculated. The data was then copied into StatCrunch and a Frequency Histogram and a Box Plot were generated. Both the histogram and box plot were skewed to the right, but overall the data had a normal distribution.

• For the second sample, the Simple Random Sampling method used. The total population of Forced Expiratory Volume in Liters was entered into the StatCrunch program and a random sample from the population we generated totaling 35 samples. The data was then copied into Excel where the mean and standard deviation was calculated. Next, the StatCrunch program was used to generate both a Frequency Histogram and Box Plot. We found that both graphs were skewed to the left resulting in a non- normal distribution compared to the Systematic Sampling Method.

• The total Population Standard Deviation was 0.866395955. Standard Deviation for the Systematic sample was 1.040687351. The Standard deviation for the Simple Random Sample was higher with a measurement of 3.561204554. This was much higher than the Total Population Standard Deviation and the Systematic Sample.