Answer: its A i did the quiz
Explanation:
What is main difference between the SAT-I and SAT-II?
A.) The SAT-I tests verbal and mathematical skills whereas the SAT-II tests a specific subject.
B.) The SAT-I tests mathematical skills whereas the SAT-II tests verbal and written skills.
C.) The SAT-I tests verbal skills whereas the SAT-II tests mathematical skills.
D.) The SAT-I tests a specific subject whereas the SAT-II tests verbal and mathematical skills.
E.) The SAT-I tests verbal and mathematical skills whereas the SAT-II tests knowledge of science subjects.
The main difference between the SAT-I and SAT-II is the SAT-I tests verbal and mathematical skills whereas the SAT-II tests a specific subject. Thus, option A is correct.
What is main difference between the SAT-I and SAT-II?The main difference between these two tests are both can be taken at your high school to determine the level of your skills when it comes to particular subjects. However, you can take as much time as you need to complete ACCUPLACER (although it is usually finished in 90 minutes) and you have to take it online, which is different than SAT.
ACT (American College Testing) is an official exam used in the American scholar system. Students take this exam before starting the college and depending on the score they have, they will or will not be admitted at the particular college. The test itself consists of 5 parts: (1) English, (2) Mathematics, (3) Reading, (4) Writing and (5) Science. The whole test duration is 2 hours and 55 minutes (plus 40 minutes of Writing, which is optional).
Therefore, The main difference between the SAT-I and SAT-II is the SAT-I tests verbal and mathematical skills whereas the SAT-II tests a specific subject. Thus, option A is correct.
Learn more about mathematical skills on:
https://brainly.com/question/30096244
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the average cost per slice of pizza is 88 cents with a standard deviation of 5 cents what is the z score of a slice of pizza with a cost of 99 cents
The midrange of a data set is the measure of center _____.
The mode of a data set is the measure of center **that is the value that occurs with the greatest frequency**. It represents the value that appears most frequently in the dataset.
Here's a breakdown of what each point means:
1. The mode of a data set is the measure of center **that is the value that occurs with the greatest frequency**.
- This means that the mode is the value that appears most frequently in the dataset. For example, if you have a dataset of test scores where 85 appears 5 times and all other scores appear fewer times, 85 would be the mode.
2. It's **the value midway between the maximum and minimum values** in the original data set.
- This point is incorrect. The mode is not necessarily the midpoint between the maximum and minimum values. It is solely determined by frequency.
3. **It's found by adding the data values and dividing the total by the number of data values**.
- This describes the mean, not the mode. The mean is calculated by summing up all the values in the dataset and dividing by the number of values.
4. It's **the middle value when the original data values are arranged in order of increasing (or decreasing) magnitude**.
- This describes the median, not the mode. The median is the middle value when the data is ordered, with an equal number of data points above and below it.
So, to sum up, the mode is the value that occurs most frequently in a dataset, and it's not directly related to the maximum, minimum, mean, or median of the data.