You may need to use the appropriate technology to answer this question. In a study conducted to investigate browsing activity by shoppers, each shopper was initially classified as a nonbrowser, light browser, or heavy browser. For each shopper, the study obtained a measure to determine how comfortable the shopper was in a store. Higher scores indicated greater comfort. Suppose the following data were collected. Light Browser Heavy Browser Nonbrowser 5 7. 6 3 3 4 (a) Use a - 0.05 to test for differences among comfort levels for the three types of browsers. State the null and alternative hypotheses. O H: Not all the population means are equal. Ho: At least two of the population means are equal. H: At least two of the population means are different. H * PLB" HHB H: Not all the population means are equal. Find the value of the test statistic. (Round your answer to two decimal places.) 3.68 Find the p-value. (Round your answer to three decimal places.) D-value - 0.042
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.


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