Contents

- 1 When a histogram has a very long tail to the right the histogram is?
- 2 When a histogram has a longer tail to the right it is said to be quizlet?
- 3 What does the tallest bar in a histogram represent?
- 4 When the right half of a histogram is a mirror image of the left half the histogram is ▼ choose one?
- 5 What is skewed right histogram?
- 6 How do you tell if a histogram is skewed or symmetric?
- 7 What is positively skewed histogram?
- 8 What distribution is skewed to the right?
- 9 What is a skewed left histogram?
- 10 Can a histogram be skewed?
- 11 What is a bell-shaped histogram?
- 12 What is a symmetric histogram?
- 13 What is skewed to the right?
- 14 What is right skewed histogram?
- 15 When Histograms are skewed to the right?
- 16 What is a right skewed histogram?
- 17 What is skewed histogram?
- 18 What is a skewed histogram?
- 19 What is a histogram skewed to the left?

## When a histogram has a very long tail to the right the histogram is?

A histogram with a long right-hand tail is said to be **right-skewed**. A histogram with a long left-hand tail is said to be left-skewed.. A peak or high point of a histogram is referred to as a mode. A histogram is unimodal if it has only one mode and bimodal if it has two clearly distinct modes.

## When a histogram has a longer tail to the right it is said to be quizlet?

A "skewed" distribution is one that is not symmetrical, but rather has a long tail in one direction. If the tail extends to the right, the curve is said to be **right-skewed**, or positively skewed. If the tail extends to the left, it is negatively skewed.

## What does the tallest bar in a histogram represent?

In a histogram, the tallest bar(s) represents **the class or classes with the highest cumulative frequency**.

## When the right half of a histogram is a mirror image of the left half the histogram is ▼ choose one?

A histogram is **symmetric** if its right half is a mirror image of its left half. Very few histograms are perfectly symmetric, but many are approximately symmetric.

## What is skewed right histogram?

What does a Right-Skewed Histogram Mean? A histogram skewed to the right means that **the peak of the graph lies to the left side of the center**. On the right side of the graph, the frequencies of observations are lower than the frequencies of observations to the left side.

## How do you tell if a histogram is skewed or symmetric?

**A symmetric distribution is one in which the 2 "halves" of the histogram appear as mirror-images of one another**. A skewed (non-symmetric) distribution is a distribution in which there is no such mirror-imaging.

## What is positively skewed histogram?

A right-skewed histogram or a positively skewed distribution is **a type of histogram that is not symmetrical and in which the peak of the graph lies to the left of the middle value or the median**.

## What distribution is skewed to the right?

A "skewed right" distribution is **one in which the tail is on the right side**. A "skewed left" distribution is one in which the tail is on the left side. The above histogram is for a distribution that is skewed right.

## What is a skewed left histogram?

A left skewed histogram is **a histogram that attains a peak (which is the mode) towards the right side of the graph and has a “tail” towards the left side**. This means that the data has contains a greater number of larger values compared to smaller values. Left Skewed Histogram/Negatively Skewed Histogram.

## Can a histogram be skewed?

Skewed right: **Some histograms will show a skewed distribution to the right**, as shown below. A distribution skewed to the right is said to be positively skewed. This kind of distribution has a large number of occurrences in the lower value cells (left side) and few in the upper value cells (right side).

## What is a bell-shaped histogram?

Bell-Shaped A histogram is bell-shaped **if it resembles a “bell” curve and has one single peak in the middle of the distribution**. The most common real-life example of this type of distribution is the normal distribution.

## What is a symmetric histogram?

A symmetric histogram is **a histogram for which the mean and the median are equal**. If we draw a line through the center of a symmetric histogram it will get divided into two equal halves. The two halves will be identical mirror images of each other. A symmetric histogram is said to have zero skewness (no skewness).

## What is skewed to the right?

**A right-skewed distribution has a long right tail**. Right-skewed distributions are also called positive-skew distributions. That's because there is a long tail in the positive direction on the number line. The mean is also to the right of the peak.

## What is right skewed histogram?

A histogram is right skewed **if the peak of the histogram veers to the left**. Therefore, the histogram's tail has a positive skew to the right.

## When Histograms are skewed to the right?

What does a Right-Skewed Histogram Mean? A histogram skewed to the right means that **the peak of the graph lies to the left side of the center**. On the right side of the graph, the frequencies of observations are lower than the frequencies of observations to the left side.

## What is a right skewed histogram?

A histogram is right skewed **if the peak of the histogram veers to the left**. Therefore, the histogram's tail has a positive skew to the right.

## What is skewed histogram?

A symmetric distribution is one in which the 2 "halves" of the histogram appear as mirror-images of one another. A skewed (non-symmetric) distribution is **a distribution in which there is no such mirror-imaging**.

## What is a skewed histogram?

A symmetric distribution is one in which the 2 "halves" of the histogram appear as mirror-images of one another. A skewed (non-symmetric) distribution is **a distribution in which there is no such mirror-imaging**.

## What is a histogram skewed to the left?

A left skewed histogram is **a histogram that attains a peak (which is the mode) towards the right side of the graph and has a “tail” towards the left side**. This means that the data has contains a greater number of larger values compared to smaller values.