Answer(1):
We have to test
H0: p=0.5
H1: p≠0.5
Total number of observations = n =800
The sample proportion is
p= 0.58
The test statistic to test the above hypothesis is
The value of test statistic = 4.52
Hence the correct option is D. 4.52
Answer(2):
We have
n=25
Sample mean,
The standard deviation of sample,
We have to test
H0:
H1:
The test statistic to test the above hypotheses is
The value of test statistic for above test is t=-2
Hence the correct option is A. t=-2
Answer(3):
We have
n=16
Sample mean,
The variance of sample = 64
The standard deviation of sample,
We have to test
H0:
H1:
The test statistic to test the above hypotheses is
The value of test statistic for above test is t=1.8
Hence the correct option is B. t=1.80
Answer(4):
We have to test if the average grade in the final examination in statistic is going to be at least 85. So the null and alternative hypothesis will be
H0:
H1:
Hence the correct option is C. H0: µ≥85, Ha: µ<85
answer all 21 From a population of cans of coffee marked "12 ounces." a sample of...
8. From a population of cans of coffee marked "12 ounces," a sample of 125 cans is selected and the contents of each can are weighed. The sample revealed a mean of 11.8 ounces and a standard deviation of 2.0 ounces. Test to see if the mean of the population is at least 12 ounces. Use .05 level of significance. deviation of 2.0 un an are weighed. The sample essa sample of 125 cans is selected and Ho: u 2...
(1 point) Cans of regular Coke are labeled as containing 12 oz. Statistics students weighed the contents of 9 randomly chosen cans, and found the mean weight to be 12.11 ounces. Assume that cans of Coke are filled so that the actual amounts are normally distributed with a mean of 12.00 oz and a standard deviation of 0.1 oz. Find the probability that a sample of 9 cans will have a mean amount of at least 12.11 oz. u
(1 point) Cans of regular Coke are labeled as containing 12 oz12 oz. Statistics students weighed the contents of 88 randomly chosen cans, and found the mean weight to be 12.1412.14 ounces. Assume that cans of Coke are filled so that the actual amounts are normally distributed with a mean of 12.00 oz12.00 oz and a standard deviation of 0.09 oz0.09 oz. Find the probability that a sample of 88 cans will have a mean amount of at least 12.14...
2. A machine that fills beverage cans is supposed to put 12 ounces of beverage in each can. Following are the amounts measured in a simple random sample of eight cans. 11.96 12.10 12.04 12.13 11.98 12.05 11.91 12.03 A dotplot of the sample data suggests that the population is approximately normal. Perform a hypothesis test to determine whether the mean volume differs from 12 ounces. Use the a= 0.05 level of significance. (a) State the null and alternate hypotheses....
A coin operated drink machine was designed to discharge a mean of 7 ounces of coffee per cup. In a test of the machine, the discharge amounts in 14 randomly chosen cups of coffee from the machine were recorded. The sample mean and sample standard deviation were 7.02 ounces and 0.24 ounces, respectively. If we assume that the discharge amounts are normally distributed, is there enough evidence, at the 0.05 level of significance, to conclude that the true mean discharge,...
A coin-operated drink machine was designed to discharge a mean of 6 ounces of coffee per cup. In a test of the machine, the discharge amounts in 12 randomly chosen cups of coffee from the machine were recorded. The sample mean and sample standard deviation were 6.15 ounces and 0.18 ounces, respectively. If we assume that the discharge amounts are normally distributed, is there enough evidence, at the 0.05 level of significance, to conclude that the true mean discharge, ,...
A coin-operated drink machine was designed to discharge a mean of 7 ounces of coffee per cup, In a test of the machine, the discharge amounts in 14 randomly chosen cups of coffee from the machine were recorded. The sample mean and sample standard deviation were 6.96 ounces and 0.12 ounces, respectively. If we assume that the discharge amounts are normally distributed, is there enough evidence, at the 0.05 level of significance, to conclude that the true mean discharge, H,...
A coin-operated drink machine was designed to discharge a mean of 7 ounces of coffee per cup. In a test of the machine, the discharge amounts in 21 randomly chosen cups of coffee from the machine were recorded. The sample mean and sample standard deviation were 6.84 ounces and 0.3 ounces, respectively. If we assume that the discharge amounts are normally_distributed, is there enough evidence, at the 0.1 level of significance, to conclude that the true mean discharge, μ, differs...
A coin-operated drink machine was designed to discharge a mean of 9 ounces of coffee per cup. In a test of the machine, the discharge amounts in 16 randomly chosen cups of coffee from the machine were recorded. The sample mean and sample standard deviation were 8.85 ounces and 0.25 ounces, respectively. If we assume that the discharge amounts are normally distributed, is there enough evidence, at the 0.1 level of significance, to conclude that the true mean discharge, H,...
A coin-operated drink machine was designed to discharge a mean of 8 ounces of coffee per cup. In a test of the machine, the discharge amounts in 21 randomly chosen cups of coffee from the machine were recorded. The sample mean and sample standard deviation were 7.87 ounces and 0.23 ounces, respectively. If we assume that the discharge amounts are normally distributed, is there enough evidence, at the 0.05 level of significance, to conclude that the true mean discharge, ?,...