Using the data below, calculate the correlation of these samples. Round your answer to 1 decimal place. seed_mass seedling_height 5.06 7.91 5.06 7.25 5.5 7.29 5.91 8.91 5.6 6.93 4.54 6.65 6.6 8.47 4.79 5.87 6.15 9.18 5 6.14 5.77 6.34 4.33 5.22 5.38 7.7 4.25 5.77 5.41 8.29 5.01 7.66 6.26 6.73 5.07 6.56 5.5 5.89 5.23 7.14 4.24 5.48 5.89 8.36 5.32 6.56 5.56 6.04 4.95 6.97
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.
Using the data below, calculate the
seed_mass | seedling_height |
5.06 | 7.91 |
5.06 | 7.25 |
5.5 | 7.29 |
5.91 | 8.91 |
5.6 | 6.93 |
4.54 | 6.65 |
6.6 | 8.47 |
4.79 | 5.87 |
6.15 | 9.18 |
5 | 6.14 |
5.77 | 6.34 |
4.33 | 5.22 |
5.38 | 7.7 |
4.25 | 5.77 |
5.41 | 8.29 |
5.01 | 7.66 |
6.26 | 6.73 |
5.07 | 6.56 |
5.5 | 5.89 |
5.23 | 7.14 |
4.24 | 5.48 |
5.89 | 8.36 |
5.32 | 6.56 |
5.56 | 6.04 |
4.95 | 6.97 |
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