A local convenience store in a large city closes each day at 10 P.M. The owner of the store is investigating whether mean sales will increase by at least $10 per day if the store remains open until 11 P.M. The owner asked the 41 members of a local civic group to estimate the amount of money they might spend during the extra hour. The sample mean was $11.50. The owner will conduct a one-sample tt-test for a population mean. Have the conditions for inference been met? Yes, all conditions have been met. A No, the sample was not chosen using a random method. B No, the sample size is greater than 10 percent of the population. C No, the sample size is not large enough to assume normality of the sampling distribution. D No, the distribution of the sample is not normal. E
A local convenience store in a large city closes each day at 10 P.M. The owner of the store is investigating whether mean sales will increase by at least $10 per day if the store remains open until 11 P.M. The owner asked the 41 members of a local civic group to estimate the amount of money they might spend during the extra hour. The sample mean was $11.50. The owner will conduct a one-sample tt-test for a population mean. Have the conditions for inference been met? Yes, all conditions have been met. A No, the sample was not chosen using a random method. B No, the sample size is greater than 10 percent of the population. C No, the sample size is not large enough to assume normality of the sampling distribution. D No, the distribution of the sample is not normal. E
A local convenience store in a large city closes each day at 10 P.M. The owner of the store is investigating whether mean sales will increase by at least $10 per day if the store remains open until 11 P.M. The owner asked the 41 members of a local civic group to estimate the amount of money they might spend during the extra hour. The sample mean was $11.50. The owner will conduct a one-sample tt-test for a population mean. Have the conditions for inference been met? Yes, all conditions have been met. A No, the sample was not chosen using a random method. B No, the sample size is greater than 10 percent of the population. C No, the sample size is not large enough to assume normality of the sampling distribution. D No, the distribution of the sample is not normal. E
A local convenience store in a large city closes each day at 10 P.M. The owner of the store is investigating whether mean sales will increase by at least $10 per day if the store remains open until 11 P.M. The owner asked the 41 members of a local civic group to estimate the amount of money they might spend during the extra hour. The sample mean was $11.50. The owner will conduct a one-sample tt-test for a population mean.
Have the conditions for inference been met?
Yes, all conditions have been met.
A
No, the sample was not chosen using a random method.
B
No, the sample size is greater than 10 percent of the population.
C
No, the sample size is not large enough to assume normality of the sampling distribution.
D
No, the distribution of the sample is not normal.
E
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 + ...
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