A bottled water distributor wants to determine whether the mean amount of water contained in 1-gallon bottles purchased from a nationally known water botting company is actually 1 gallon. You know from the water botting company specifications that the standard deviation of the amount of water per bottle is 0.02 gallon. You select a random sample of 50 bottles, and the mean of water per 1-gallon is 0.995 gallon. a. Is there evidence that the mean amount is different from 1.0 gallon? (Use α = 0.01. ) b. Compute the p-value and interpret its meaning. c. Construct a 99 % confidence interval estimate of the population mean amount of water per bottle. d. Compare the results of (a) and (c). What conclusions do you reach?
A bottled water distributor wants to determine whether the mean amount of water contained in 1-gallon bottles purchased from a nationally known water botting company is actually 1 gallon. You know from the water botting company specifications that the standard deviation of the amount of water per bottle is 0.02 gallon. You select a random sample of 50 bottles, and the mean of water per 1-gallon is 0.995 gallon. a. Is there evidence that the mean amount is different from 1.0 gallon? (Use α = 0.01. ) b. Compute the p-value and interpret its meaning. c. Construct a 99 % confidence interval estimate of the population mean amount of water per bottle. d. Compare the results of (a) and (c). What conclusions do you reach?
Solution Summary: The author explains the steps of the p-value approach to determine whether the mean amount of water per 1-gallon bottle is actually 1.0 gallon.
A bottled water distributor wants to determine whether the mean amount of water contained in 1-gallon bottles purchased from a nationally known water botting company is actually 1 gallon. You know from the water botting company specifications that the standard deviation of the amount of water per bottle is 0.02 gallon. You select a random sample of 50 bottles, and the mean of water per 1-gallon is 0.995 gallon.
a. Is there evidence that the mean amount is different from 1.0 gallon?
(Use
α
=
0.01.
)
b. Compute the p-value and interpret its meaning.
c. Construct a
99
%
confidence interval estimate of the population mean amount of water per bottle.
d. Compare the results of (a) and (c). What conclusions do you reach?
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.
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Hypothesis Testing using Confidence Interval Approach; Author: BUM2413 Applied Statistics UMP;https://www.youtube.com/watch?v=Hq1l3e9pLyY;License: Standard YouTube License, CC-BY
Hypothesis Testing - Difference of Two Means - Student's -Distribution & Normal Distribution; Author: The Organic Chemistry Tutor;https://www.youtube.com/watch?v=UcZwyzwWU7o;License: Standard Youtube License