Use a pie chart to display the data, which represent the numbers of student loan borrowers (in millions) by balance owed in a recent quarter. Describe any patterns. $1 to $10,000 $25,001 to $50,000 9.4 15.4 $10,001 to $25,000 12.8 D $50,001+ 6.6 Which pie chart below displays the data? O A. OB. $1 to $10,000 | $1 to $10,000 $10,001 to $25,000 $10,001 to $25,000 O $25,001 to $50,000 O $25,001 to $50,000 O $50,001+ O $50,001+ Oc. OD. I$1 to $10,000 $1 to $10,000 $10,001 to $25,000 $10,001 to $25,000 O $25,001 to $50,000 O $25,001 to $50,000 O $50,001+ O $50,001+ What best describes the data? O A. Most student loan balances are $25,001 or more. O B. Most student loan balances are $25,000 or less. C. Most student loan balances are $50,001 or more. O D. Most student loan balances are between $25,001 and $50,000.
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.
Trending now
This is a popular solution!
Step by step
Solved in 2 steps with 2 images