You obtain the following two samples of data. Sample #1 Sample #2 89.5 80.8 76.4 84.5 111.2 93.5 85.7 71.1 86 82.7 84.6 75.1 86.7 69 95.2 86.7 92.3 89.1 76.4 75.6 78.3 63.2 83.6 66.7 79.4 85.8 73.6 79.9 78.3 69 95.7 117.9 83.2 80.5 75.6 85 87.2 57.5 74.9 97.5 74 80.9 83.6 77.8 89.3 84.2 79.4 90.8 89.9 79.4 88.4 81.1 109.2 96.9 98.1 90.3 71.5 85.8 84.5 82.8 75.5 77.8 106.5 82.1 82.8 94.9 76.6 83.3 128.1 101.3 114.9 110.2 88.4 80 80.5 104.1 124.6 80 82.6 83.6 91.9 113.6 50.5 89.8 58.8 117.9 69 77.2 84.2 75.5 68.3 What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = What is the p-value for this sample? For this calculation, use the degrees of freedom reported from the technology you are using. (Report answer accurate to four decimal places.) p-value = The p-value is...
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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