Hi, welcome back.
In this lecture, you will learn how to avoid sampling error when you are doing that analysis, and
this can be achieved by using multiple and bigger samples from the population.
So we firstly ensure that there is sampling error occurred in the last video as a form using possibly
so select that underscore part between two brackets months and both date as months and sum of total
amount as total sales from bookings grew by month, order by month.
And the query then I get the following that the output that July is the most months in the sales of
tickets, then August, then June.
Now we will avoid the sampling error of the last Viju as the following using orbiter left.
So I will take more for bigger samples from the data sheet than the six samples I created in the last
grade.
You lecture.
So I will firstly import Banda's module as b'day, then I will read the C.
S v file from the database airlines that contains the whole column of bookings so that Sevan's Sambell
will contain twenty thousand records from the data sheet and print the Sambell.
Then I will visualise assembled to get that July is the most Dumond's and say it's in August, then
June.
Then I will take the eight Sambell as the following.
You have eight equal D.F. the same bill between two brackets.
Fifty thousand.
Then I will bring the eight samples, then I will visualize the eight sample to get that July month
is almost a month in the sales of tickets, then August is in June.
Then I will take the ninth same bill as the following the F nine, the F dot Sambell between two brackets,
one hundred thousand.
Then I will present the nine to.
Now I will visualize the nine sambal and I get that.
July is the most months in the sales of ticket in our database airlines in August, then June.
Then I will take the 10 same bill as the following day after an equal the f the same bill between two
brackets, two hundred thousand d.f. them to print the ten Sambell.
Then I will visualize the same bill as the following.
I will get a chart.
I can conclude that July is the most July is the most months in the sales of tickets.
Then August, then June.
From these figures, sambas, we get the same result as both degrees equal query that in the summer
months, that July month is the most months in.
Sales of tickets in August, then June.
At this point, we reach the end of this lecture.
Hope you enjoyed this lecture and get all of that.
And learn to avoid sampling error.
Thank you for being here.
Thanks for watching.
See you soon, goodbye.