An important quality characteristic used by the manufacturer of Boston and Vermont asphalt shingles is the amount of moisture the shingles contain when they are packaged. Customer may feel that they have purchased a product lacking in quality if they find moisture and wet shingles inside the packaging. In some cases, excessive moisture can cause the granules attached to the shingles for texture and coloring purposes to fall of the shingles, resulting in appearance problems. To monitor the amount of moisture present, the company conducts moisture tests. A shingles is weighed and then dried. The shingle is then reweighed, and, based on the amount of moisture taken out of the product, the pounds of moisture per 100 square feet are calculated. The company would like to show that the mean moisture content is less than 0.35 pounds per 100 square feet. The file Moisture included 36 measurements (In pounds per 100 square feet) for Boston shingles and 31 Vermont shingles. a. For the Boston shingles, is there evidence at the 0.05 level of significance that the population mean moisture content is less than 0.35 pounds per 100 square feet? b. Interpret the meaning of the p -value in (a). c. For the Vermont shingles, is there evidence at the 0.05 level of significance that the population mean moisture content is less than 0.35 pounds per 100 square feet? d. Interpret the meaning of the p -value in (c). e. What assumption about the population distribution is needed in order to conduct the t tests in (a) and (c)? f. Construct histograms, boxplot, or normal probability plots to evaluate the assumption made in (a) and (c). g. Do you think that the assumption needed in order to conduct the t tests in (a) and (c) is valid? Explain.
An important quality characteristic used by the manufacturer of Boston and Vermont asphalt shingles is the amount of moisture the shingles contain when they are packaged. Customer may feel that they have purchased a product lacking in quality if they find moisture and wet shingles inside the packaging. In some cases, excessive moisture can cause the granules attached to the shingles for texture and coloring purposes to fall of the shingles, resulting in appearance problems. To monitor the amount of moisture present, the company conducts moisture tests. A shingles is weighed and then dried. The shingle is then reweighed, and, based on the amount of moisture taken out of the product, the pounds of moisture per 100 square feet are calculated. The company would like to show that the mean moisture content is less than 0.35 pounds per 100 square feet. The file Moisture included 36 measurements (In pounds per 100 square feet) for Boston shingles and 31 Vermont shingles. a. For the Boston shingles, is there evidence at the 0.05 level of significance that the population mean moisture content is less than 0.35 pounds per 100 square feet? b. Interpret the meaning of the p -value in (a). c. For the Vermont shingles, is there evidence at the 0.05 level of significance that the population mean moisture content is less than 0.35 pounds per 100 square feet? d. Interpret the meaning of the p -value in (c). e. What assumption about the population distribution is needed in order to conduct the t tests in (a) and (c)? f. Construct histograms, boxplot, or normal probability plots to evaluate the assumption made in (a) and (c). g. Do you think that the assumption needed in order to conduct the t tests in (a) and (c) is valid? Explain.
Solution Summary: The author concludes that the population mean moisture content of Boston Shingles is less than 0.35 pound per 100 square feet at 0.05 level of significance.
An important quality characteristic used by the manufacturer of Boston and Vermont asphalt shingles is the amount of moisture the shingles contain when they are packaged. Customer may feel that they have purchased a product lacking in quality if they find moisture and wet shingles inside the packaging. In some cases, excessive moisture can cause the granules attached to the shingles for texture and coloring purposes to fall of the shingles, resulting in appearance problems. To monitor the amount of moisture present, the company conducts moisture tests. A shingles is weighed and then dried. The shingle is then reweighed, and, based on the amount of moisture taken out of the product, the pounds of moisture per 100 square feet are calculated. The company would like to show that the mean moisture content is less than 0.35 pounds per 100 square feet. The file Moisture included 36 measurements (In pounds per 100 square feet) for Boston shingles and 31 Vermont shingles.
a. For the Boston shingles, is there evidence at the 0.05 level of significance that the population mean moisture content is less than 0.35 pounds per 100 square feet?
b. Interpret the meaning of the p-value in (a).
c. For the Vermont shingles, is there evidence at the 0.05 level of significance that the population mean moisture content is less than 0.35 pounds per 100 square feet?
d. Interpret the meaning of the p-value in (c).
e. What assumption about the population distribution is needed in order to conduct the t tests in (a) and (c)?
f. Construct histograms, boxplot, or normal probability plots to evaluate the assumption made in (a) and (c).
g. Do you think that the assumption needed in order to conduct the t tests in (a) and (c) is valid? Explain.
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
Please could you explain why 0.5 was added to each upper limpit of the intervals.Thanks
28. (a) Under what conditions do we say that two random variables X and Y are
independent?
(b) Demonstrate that if X and Y are independent, then it follows that E(XY) =
E(X)E(Y);
(e) Show by a counter example that the converse of (ii) is not necessarily true.
1. Let X and Y be random variables and suppose that A = F. Prove that
Z XI(A)+YI(A) is a random variable.
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