In 2011, 17% of a random sample of 200 adults …

Mathematics Questions

In 2011, 17 percent of a random sample of 200 adults in the United States indicated that they consumed at least 3 pounds of bacon that year. In 2016, 25 percent of a random sample of 600 adults in the United States indicated that they consumed at least 3 pounds of bacon that year

Short Answer

The answer outlines a three-step process to compare the proportion of adults consuming at least 3 pounds of bacon in 2011 and 2016. It includes calculating sample proportions for both years, determining the pooled sample proportion as 0.23, and finding the test statistic z using the specified formula.

Step-by-Step Solution

Step 1: Identify Sample Proportions

To compare the proportion of adults consuming at least 3 pounds of bacon in different years, we first need to determine the sample proportions for each year. For 2011, the sample proportion is 0.17, and for 2016, it is 0.25. Make sure to note the sample sizes, which are 200 for 2011 and 600 for 2016.

  • 2011: p1 = 0.17
  • 2016: p2 = 0.25

Step 2: Calculate Pooled Sample Proportion

The next step involves calculating the pooled sample proportion, denoted as p. This value is essential for determining the overall estimate of the proportion across both years. The formula for this calculation involves combining the counts from both years and dividing by the total sample size.

  • Formula: p = (x1 + x2) / (n1 + n2)
  • Where:
    • x1 = 0.17 * 200 = 34
    • x2 = 0.25 * 600 = 150
  • Pooled Proportion: p = 184 / 800 = 0.23

Step 3: Calculate the Test Statistic

After obtaining the pooled proportion, the final step is to substitute the values into the test statistic formula for comparing the two proportions. This involves simplifying the equation to find the z value, which indicates the significance of the difference between these proportions. Use the values of the sample proportions and the pooled proportion to compute z.

  • Test Statistic Formula: z = (p1 – p2) / sqrt(p * (1 – p) * (1/n1 + 1/n2))
  • Substitute Values: z = (0.17 – 0.25) / sqrt(0.23 * 0.77 * (1/200 + 1/600))

Related Concepts

Sample Proportion

The proportion of individuals in a sample that exhibit a certain characteristic, calculated as the number of individuals with the characteristic divided by the total number of individuals in the sample.

Pooled Sample Proportion

A combined estimate of the sample proportion for two or more samples, calculated by summing the counts of the characteristic across samples and dividing by the total number of individuals in all samples.

Test Statistic

A standardized value that is calculated from sample data during a hypothesis test, used to determine the significance of the observed difference between sample statistics, typically represented by the letter z for proportions.

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