How do you find the inclusive range?

How do you find the inclusive range?

The second kind of range is the inclusive range, which is the highest score minus the lowest score plus 1 (or h − l + 1).

How many values are in the range of 35 to 95?

62

What is the best measure of variability?

interquartile range

Which measure of central tendency is greatly affected by extreme scores?

So the median is a better measure of the central tendency. Extreme scores strongly affect the mean, but not the median.

Which measure of central tendency is most affected by extreme very high or very low scores?

Median

Which measure of central tendency would be most affected by a small number of extreme cases?

median

Which measure of central tendency is not affected by peak values?

How do you determine the best measure of center?

The median is the value in the center of the data. Half of the values are less than the median and half of the values are more than the median. It is probably the best measure of center to use in a skewed distribution. Find the number in the middle.

What are the 3 measures of center?

There are three measures of center that are most often used:

• mean.
• median.
• and mode.

Do the measures of center make sense?

Do the measures of center make sense? Only the mode makes sense since the data is nominal. Statistics are sometimes used to compare or identify authors of different works.

What is the best measure of center and spread?

When it is skewed right or left with high or low outliers then the median is better to use to find the center. The best measure of spread when the median is the center is the IQR. As for when the center is the mean, then standard deviation should be used since it measure the distance between a data point and the mean.

How do you compare the spread and center?

Center and spread are ways to describe data sets like this.

1. Center describes a typical value of a data point. Two measures of center are mean and median.
2. Spread describes the variation of the data. Two measures of spread are range and standard deviation.

How do you find Q1 and Q3?

Q1 is the median (the middle) of the lower half of the data, and Q3 is the median (the middle) of the upper half of the data. (3, 5, 7, 8, 9), | (11, 15, 16, 20, 21). Q1 = 7 and Q3 = 16. Step 5: Subtract Q1 from Q3.

How do I find the upper quartile?

The upper quartile is the median of the upper half of a data set. This is located by dividing the data set with the median and then dividing the upper half that remains with the median again, this median of the upper half being the upper quartile.

How do you find quartile 3?

Quartiles are the values that divide a list of numbers into quarters: Put the list of numbers in order. Then cut the list into four equal parts….In this case all the quartiles are between numbers:

1. Quartile 1 (Q1) = (4+4)/2 = 4.
2. Quartile 2 (Q2) = (10+11)/2 = 10.5.
3. Quartile 3 (Q3) = (14+16)/2 = 15.

How do you find the fourth quartile?

It is not possible to calculate the 4th quartile, if you have only the median and the IQR. Let us look at the following definitions: median = second quartile. IQR = third quartile − first quartile.

Are there 3 or 4 quartiles?

First quartile: the lowest 25% of numbers. Second quartile: between 25.1% and 50% (up to the median) Third quartile: 50.1% to 75% (above the median) Fourth quartile: the highest 25% of numbers.

Why is there no quartile 4?

Unless the number of observations in your sample is divisible by 4, you will not be able to separate the sample into four equal parts by rank. Much of statistics has the goal of describing data succinctly, for example by a mean and standard deviation.