## What is the best measure of central tendency for quantitative data?

Mean

Mean is the most frequently used measure of central tendency and generally considered the best measure of it. However, there are some situations where either median or mode are preferred. Median is the preferred measure of central tendency when: There are a few extreme scores in the distribution of the data.

## What are the measures of central tendency and dispersion?

Measures that indicate the approximate center of a distribution are called measures of central tendency. Measures that describe the spread of the data are measures of dispersion. These measures include the mean, median, mode, range, upper and lower quartiles, variance, and standard deviation.

**What is the best measure of central tendency and dispersion?**

The mean is usually the best measure of central tendency to use when your data distribution is continuous and symmetrical, such as when your data is normally distributed.

**What is central tendency in quantitative techniques?**

A measure of central tendency is an important aspect of quantitative data. It is an estimate of a “typical” value. Three of the many ways to measure central tendency are the mean, median and mode. The mean is the average of data.

### What are the two commonly used tool in quantitative data analysis?

Although there are many other methods to collect quantitative data, those mentioned above probability sampling, interviews, questionnaire observation, and document review are the most common and widely used methods either offline or for online data collection.

### What is difference between central tendency and dispersion?

Central tendency is described by median, mode, and the means (there are different means- geometric and arithmetic). Dispersion is the degree to which data is distributed around this central tendency, and is represented by range, deviation, variance, standard deviation and standard error.

**Which is best measure of central tendency?**

Mean is generally considered the best measure of central tendency and the most frequently used one. However, there are some situations where the other measures of central tendency are preferred. There are few extreme scores in the distribution. Some scores have undetermined values.

**Which measure of central tendency is best?**

mean

The mean is the most frequently used measure of central tendency because it uses all values in the data set to give you an average. For data from skewed distributions, the median is better than the mean because it isn’t influenced by extremely large values.

#### What is central tendency and its types?

The central tendency measure is defined as the number used to represent the center or middle of a set of data values. The three commonly used measures of central tendency are the mean, median, and mode. A statistic that tells us how the data values are dispersed or spread out is called the measure of dispersion.

#### What does central tendency mean?

Mode: the most frequent value. Median: the middle number in an ordered data set. Mean: the sum of all values divided by the total number of values.

**How can quantitative data be Analysed?**

Quantitative data is usually collected for statistical analysis using surveys, polls or questionnaires sent across to a specific section of a population. The retrieved results can be established across a population.

**How to calculate measures of central tendency and dispersion?**

Measures of central tendency and measures of dispersion are two important types of statistics. A measure of central tendency represents the center or middle of a set of data values. The commonly used measures of central tendency are mean, median, and mode. Mean deviation: It is the mean of the absolute values of the numerical differences

## Is the SD an accurate measure of central tendency?

Reporting the SD along with the mean gives one the impression of how valid that mean value actually is (i.e. if the SD is huge, the mean is totally invalid – it is not an accurate measure of central tendency, because the data is so widely scattered.) This is an estimate of spread of samples around the population mean.

## Which is the best description of central tendency?

The term central tendency relates to the way in which quantitative data tend to cluster around some value. A measure of central tendency is any of a variety of ways of specifying this “central value”.

**What do you mean by dispersion of data?**

These describe the dispersion of data around some sort of mean. Deviation: distance between an observed score and the mean score. Because the difference can be positive or negative and this is cumbersome, usually the absolute deviation is used (which ignores the plus or minus sign).