The data set represents the number of rings each person in a room is wearing. 0, 2, 4, 0, 2, 3, 2, 8, 6 What is the interquartil
2 answers:
Answer:
Option C.
Step-by-step explanation:
The provided data set is
0, 2, 4, 0, 2, 3, 2, 8, 6
Rearranging the data in ascending order gives:
0, 0, 2, 2, 2, 3, 4, 6, 8
Next, the data set is divided into four equal segments.
(0, 0), (2, 2), 2, (3, 4), (6, 8)
Now, we see:
The formula for the interquartile range:
Thus, the interquartile range calculated is 4, making option C correct.
You might be interested in
Answer:
Ben could have sold a maximum of 6 turkey sandwiches.
Step-by-step explanation:
Turkey sandwiches are priced at $2.50, while veggie wraps cost $3.50 at the snack stand.
Our goal is to determine the largest number of turkey sandwiches Ben might have sold.
4 veggie wraps were sold (y).
Thus, the inequality is: 2.50x + 3.50(4) < 30
2.50x + 14 < 30
- 14 - 14
2.50x < 16
Ultimately, Ben could sell a maximum of 6 turkey sandwiches.
To determine if there is evidence suggesting a change in average height, we can conduct a right-tailed test and formulate both null and alternative hypotheses.
H₀ (null hypothesis): μ = 162.5
H₁ (alternative hypothesis): μ > 162.5
With two samples to analyze, we can calculate the z-score using the formula provided below.
In this formula, Z symbolizes the z-score, Χ denotes the new sample mean, μ indicates the theoretical average, δ represents the standard deviation, and n signifies the sample size. Based on the gathered values,
Assuming a significance level of α = 0.05. With a z-score of 2.77, we can reference the z-table to ascertain the p-value. This yields P(Z > 2.77) =.0028. Since our p-value is below α, we reject the null hypothesis, indicating that the average height of female freshman students has indeed shifted.
H₀ (null hypothesis): μ = 162.5
H₁ (alternative hypothesis): μ > 162.5
With two samples to analyze, we can calculate the z-score using the formula provided below.
In this formula, Z symbolizes the z-score, Χ denotes the new sample mean, μ indicates the theoretical average, δ represents the standard deviation, and n signifies the sample size. Based on the gathered values,
Assuming a significance level of α = 0.05. With a z-score of 2.77, we can reference the z-table to ascertain the p-value. This yields P(Z > 2.77) =.0028. Since our p-value is below α, we reject the null hypothesis, indicating that the average height of female freshman students has indeed shifted.