A retailer wants to see if a red "Sale" sign brings in the same amount of revenue than the same "Sale" sign in blue. The data below shows the revenue in thousands of dollars that was achieved for various days when the retailer decided to put the red "Sale" sign up and days when the retailer decided to put the blue "Sale" sign up. Red: 3.3, 1.9, 3.1, 2.3, 2.4, 1.7, 3.3, 2.6, 2.1, 2.1 Blue: 3.7, 5, 4.3, 3.4, 2.2, 3.7, 3.4, 2.4, 3.7, 3.1 Assume that both populations follow a normal distribution. What can be concluded at the a = 0.10 level of significance level of significance? For this study, we should use Select an answer a. The null and alternative hypotheses would be: Select an answer Select an answer H9: Select an answer Select an answer Select an answer ♥ (Please enter a decimal) ) (please enter a decimal) Hị: Select an answer b. The test statistic (please show your answer to 3 decimal places.) c. The p-value - (Please show your answer to 4 decimal places.)
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
H0= p1 or μ 1
<, >, =, or not equal
H1= p1 or μ 1
<, >, =, or not equal
Questions B & C

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