# What is the difference between a pictograph and a phonetic writing system?

## What is the difference between a pictograph and a phonetic writing system?

The major difference between pictographic and phonetic scripts is that while in the former the individual symbols represent ideas and objects, in the latter the symbols stand for sounds. The other three scripts are the ancestors of all other writing systems in the world, both phonetic and pictographic.

## What advantages does the alphabet offer over pictographic writing systems?

The reason for the great advantage of the alphabet is that in most languages the number of phonemes (speech sounds) is only around forty, with a range of between twelve to sixty, a limit probably due to the restricted range of sounds that humans can distinguish in listening or articulate in speaking.

**What advantages does picture writing have?**

Images can provide more detail than words. You can tell a story with a series of photographs and reach a conclusion the audience understands. It’s better not to have words running across the bottom of the photograph. These can distract the audience from your spoken words.

**What is one advantage of describing data in writing?**

Answer: It gives the reader more facts to go off of and can educate them more on the topic of the writing.

### How do you describe a dataset?

Appearance Description: The center, spread, and shape of a data set are important to see if our tests and parameters are relevant in context. The center is usually the mean or the median, while the spread is the difference between the largest value and the smallest value.

### How do you describe a dataset in Python?

Pandas describe() is used to view some basic statistical details like percentile, mean, std etc. of a data frame or a series of numeric values. When this method is applied to a series of string, it returns a different output which is shown in the examples below. Return type: Statistical summary of data frame.

**What three things should be reported when describing a data set?**

1 Methods for Describing a Set of Data

- The central tendency of the set of measurements: the tendency of the data to cluster, or center, about certain numerical values.
- The variability of the set of measurements: the spread of the data.

**Why is it important to order the data when finding the median?**

Answer: The mean may not be a fair representation of the data, because the average is easily influenced by outliers (very small or large values in the data set that are not typical). Themedian is another way to measure the center of a numerical data set. Thus, the median is truly the middle of thedata set.

## Why would you use the median?

“Use the median to describe the middle of a set of data that does have an outlier. Advantages of the median: Extreme values (outliers) do not affect the median as strongly as they do the mean, useful when comparing sets of data, it is unique – there is only one answer.

## What is the purpose of mean in statistics?

The mean can be used to represent the typical value and therefore serves as a yardstick for all observations. For example, if we would like to know how many hours on average an employee spends at training in a year, we can find the mean training hours of a group of employees.

**How do you interpret a median in research?**

The median is determined by ranking the observations and finding the observation that are at the number [N + 1] / 2 in the ranked order. If the number of observations are even, then the median is the average value of the observations that are ranked at numbers N / 2 and [N / 2] + 1.

**What does the median tell you?**

WHAT CAN THE MEDIAN TELL YOU? The median provides a helpful measure of the centre of a dataset. By comparing the median to the mean, you can get an idea of the distribution of a dataset. When the mean and the median are the same, the dataset is more or less evenly distributed from the lowest to highest values.

### What does the difference between mean and median suggest?

The Difference Between Mean and Median The mean is the average you already know: just add up all the numbers, then divide by the number of numbers. The median is the middle value in a list of numbers.

### How do you compare mean and median?

A mean is computed by adding up all the values and dividing that score by the number of values. The Median is the number found at the exact middle of the set of values. A median can be computed by listing all numbers in ascending order and then locating the number in the centre of that distribution.

**What is the relationship between mean and median?**

Mean is the average of all the values. Median is the middle value, dividing the number of data into 2 halves. In other words, 50% of the observations is below the median and 50% of the observations are above the median. Mode is the most common value among the given observations.

**What are the similarities and differences between the mean the median and the mode?**

Median is the number in the middle when you order the numbers in an ascending order. If there are two numbers in the middle, you should take the average of those two numbers. Mode is the number which is repeated the most in the set. Mode is 1 because it is seen the most in the set.

## How do different distributions affect mean and median?

To summarize, generally if the distribution of data is skewed to the left, the mean is less than the median, which is often less than the mode. If the distribution of data is skewed to the right, the mode is often less than the median, which is less than the mean.

## In which of the following distributions mean median and mode all are equal?

In a perfectly symmetrical, non-skewed distribution the mean, median and mode are equal.

**Are mean median and mode equal in normal distribution?**

The normal distribution is a symmetrical, bell-shaped distribution in which the mean, median and mode are all equal. It is a central component of inferential statistics. The standard normal distribution is a normal distribution represented in z scores.

**For which one of the following distributions will the median be a better measure of center than the mean?**

‘Homework scores with a bell-shaped distribution’ is the distribution for which the median probably be a better measure of center than the mean due to following reasons: A bell curve is normally a graph that is examined to be a normal distribution.

### Which is the best measure of central tendency?

mean

### Which is the best measure of central tendency for the type of data below?

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.

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

However, in this situation, the mean is widely preferred as the best measure of central tendency because it is the measure that includes all the values in the data set for its calculation, and any change in any of the scores will affect the value of the mean.

**Which central tendency is more accurate Why?**

## What is the role of central tendency in research?

The measures of central tendency allow researchers to determine the typical numerical point in a set of data. The data points of any sample are distributed on a range from lowest value to the highest value. Measures of central tendency tell researchers where the center value lies in the distribution of data.

## 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 is the importance of central tendency?**

Why Is Central Tendency Important? Central tendency is very useful in psychology. It lets us know what is normal or ‘average’ for a set of data. It also condenses the data set down to one representative value, which is useful when you are working with large amounts of data.

**What is importance of median and mode in social research?**

Together with the mean and the median, the mode is one of the main measurements of the central tendency of a sample or a population. The mode is particularly important in social research because it is the only measure of central tendency that is relevant for any data set.