 Hello and welcome to the session. In this session we will discuss the question which says that study for given histograms and describe the type of distribution for each histogram. Now before starting the solution of this question, we should know some results. First of all let us discuss q-ness. When a data is displayed graphically, some distributions have more observations on one side than the other. Now the distributions with most of their observations, lower values are said to be and the distributions with most of their observations skewed left. When the observations in a set of data is spread across the range of distribution, then this distribution will form distribution and a uniform distribution has no clear peaks. Now let us see what is a unimodal distribution. Now if one item maximum frequency per distribution is a unimodal distribution and if there are two items having maximum frequency, then it is a bimodal distribution. In histogram number of peaks tell us whether the distribution is unimodal or bimodal. Now these two terms, we will welcome to the T-idea by solving out the given question. Now let us start with the solution of the given question. Now here we have given three histograms, each histogram carefully. Now let us start with the first part. In the first part we can see distribution. Now here the bars are decreasing in size, that means most of the observations are on the left towards the lower values. Now we know that distributions with most of their observations on the left is said to be skewed right. In the first part we can see that the distribution skewed right. There is a wide spread of the items, there is not much clear difference in the height of each bar that there is one bar with maximum height, that is there is a single and if in the histogram we have one peak that is one bar with maximum height, then that distribution is called a unimodal distribution. So here unimodal distribution, maximum height. Now let us start with the second part of the histogram. So this is a uniform distribution. So we can write of the given histogram that it is a uniform distribution. And also the observations are not concentrated at a single point and these observations are evenly distributed. That is this distribution. Now let us start with the third part. Now in the third histogram we can see that the number of observations in second bar 0 items are concentrated to the right side of the histogram and from the key idea we know that distributions with most of their observations on the right are said to be skewed left. So as items with the higher values said to be skewed left. Also the spread of distribution is not much because there are very few observations in first and second bar of the histogram. Now as there are very few observations in the first and second bar of the histogram is not wide or we can say the spread. So this is the description of the type of distribution for each histogram and this completes our session. Hope you all have enjoyed the session.