Determine each statement is Type I error, Type II error, or no error. You reject the null hypothesis that the mean amount of soda in all cans of soda is at least 11 oz. The true mean is 11.07 oz. Suppose you fail to reject the null hypothesis that the mean lifetime of a battery is at least 50 hours. The true mean is 51.3 hours. Suppose you fail to reject the null hypothesis that the mean diameter of a bolt is at most 10 cm. The true mean is 10.02 cm.
Determine each statement is Type I error, Type II error, or no error. You reject the null hypothesis that the mean amount of soda in all cans of soda is at least 11 oz. The true mean is 11.07 oz. Suppose you fail to reject the null hypothesis that the mean lifetime of a battery is at least 50 hours. The true mean is 51.3 hours. Suppose you fail to reject the null hypothesis that the mean diameter of a bolt is at most 10 cm. The true mean is 10.02 cm.
Determine each statement is Type I error, Type II error, or no error. You reject the null hypothesis that the mean amount of soda in all cans of soda is at least 11 oz. The true mean is 11.07 oz. Suppose you fail to reject the null hypothesis that the mean lifetime of a battery is at least 50 hours. The true mean is 51.3 hours. Suppose you fail to reject the null hypothesis that the mean diameter of a bolt is at most 10 cm. The true mean is 10.02 cm.
Determine each statement is Type I error, Type II error, or no error.
You reject the null hypothesis that the mean amount of soda in all cans of soda is at least 11 oz. The true mean is 11.07 oz.
Suppose you fail to reject the null hypothesis that the mean lifetime of a battery is at least 50 hours. The true mean is 51.3 hours.
Suppose you fail to reject the null hypothesis that the mean diameter of a bolt is at most 10 cm. The true mean is 10.02 cm.
Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...
Expert Solution
Step 1
You reject the null hypothesis that the mean amount of soda in all cans of soda is at least 11 oz. The true mean is 11.07 oz.
This means it is a rejection of a true null hypothesis. So this is a type I error.
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