Statistics students in Oxnard College sampled 10 textbooks in the Condor bookstore, and recorded the number of pages in each textbook and its cost. The bivariate data is shown below, Number of Pages (r) Cost(y) 735 43.75 332 18.6 329 17.45 952 61.6 470 21.5 510 23.5 911 42.55 249 12.45 251 27.55 694 47.7 A student calculates a linear model y = (Please show your answers to two decimal places) Use the model above to estimate the cost when number of bages is 808 Cost = $ (Please show your answer to 2 decimal places.)
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.
![Question 6
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Statistics students in Oxnard College sampled 10 textbooks in the Condor bookstore, and recorded the
number of pages in each textbook and its cost. The bivariate data is shown below,
luations
Number of Pages (2)
Cost(y)
735
43.75
332
18.6
329
17.45
952
61.6
470
21.5
510
23.5
911
42.55
249
12.45
251
27.55
694
47.7
A student calculates a linear model
y =
(Please show your answers to two decimal places)
Use the model above to estimate the cost when number of bages is 808
Cost - $
(Please show your answer to 2 decimal places.)
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