Android Users Iphone Users Total Ages 18 – 30 405 653 1058 Ages 31 – 40 687 538 1225 Ages 41 – 50 1068 391 1459 Total 2160 1582 3742 (Write all answers as a percentage without the % symbol to 1 decimal.) What is the probability that someone chosen at random was an Android user OR aged 41 - 50? What is the probability of someone being aged 41 - 50 AND an Android user? Given a random person was aged 18 - 30, what is the probability that they were an iPhone user?
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.
|
|
|
Android Users |
Iphone Users |
Total |
|
|
Ages 18 – 30 |
405 |
653 |
1058 |
|
|
Ages 31 – 40 |
687 |
538 |
1225 |
|
|
Ages 41 – 50 |
1068 |
391 |
1459 |
|
|
Total |
2160 |
1582 |
3742 |
(Write all answers as a percentage without the % symbol to 1 decimal.)
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What is the probability of someone being aged 41 - 50 AND an Android user?
Given a random person was aged 18 - 30, what is the probability that they were an iPhone user?
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