α=0.05α=0.05. You have the following bivariate data set. x y 49.9 41.2 58.5 43.9 53.2 46.8 96.3 58.6 20.3 30.7 101.4 59.3 35.5 36 11 32.1 39.5 33.4 62.9 46.7 97.5 58.6 55.4 40.8 16 36.5 50.4 41.7 37.6 49.2 What is the critival value for this hypothesis test? rc.v. = What is the correlation coefficient for this data set? r = Your final conclusion is that... There is insufficient sample evidence to support the claim the there is a correlation between the two variables. There is sufficient sample evidence to support the claim that there is a statistically significant correlation between the two variables. Note: Round to three decimal places when necessary.
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.
α=0.05α=0.05. You have the following bivariate data set.
| x | y |
|---|---|
| 49.9 | 41.2 |
| 58.5 | 43.9 |
| 53.2 | 46.8 |
| 96.3 | 58.6 |
| 20.3 | 30.7 |
| 101.4 | 59.3 |
| 35.5 | 36 |
| 11 | 32.1 |
| 39.5 | 33.4 |
| 62.9 | 46.7 |
| 97.5 | 58.6 |
| 55.4 | 40.8 |
| 16 | 36.5 |
| 50.4 | 41.7 |
| 37.6 | 49.2 |
What is the critival value for this hypothesis test?
rc.v. =
What is the
r =
Your final conclusion is that...
- There is insufficient sample evidence to support the claim the there is a correlation between the two variables.
- There is sufficient sample evidence to support the claim that there is a statistically significant correlation between the two variables.
Note: Round to three decimal places when necessary.
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