y 2 4. 4 8. 33 22 11 23 13 24 14 28 15 32 17 37 20 39 40+ 35 30 25 20- 15 10 5- 5 10 15 20 -5+ There seems to be an outlier. Enter as a point: a. (х,у) 3D f the estimate, Se.
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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There seems to be an outlier. Enter as a point:
a. (х,у) -
To determine if this is truly an outlier, we first need to find the standard error of the estimate, Se.
Find the regression equation, round the slope and y-intercept to 2 decimals, and then use that equation to
find the standard error. Round this answer to one decimal.
b. Se =
What y-value is the cutoff beyond which the point (8,33) would be considered an outlier?
c. The cutoff is y =](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe983a6a6-e24f-42b1-8259-f9d492cbc999%2F5ab21bff-d53a-4387-9704-ff81de0fe617%2F21gqab_processed.jpeg&w=3840&q=75)
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