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Hi, welcome back.

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In this lecture, you will learn how to avoid sampling error when you are doing that analysis, and

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this can be achieved by using multiple and bigger samples from the population.

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So we firstly ensure that there is sampling error occurred in the last video as a form using possibly

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so select that underscore part between two brackets months and both date as months and sum of total

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amount as total sales from bookings grew by month, order by month.

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And the query then I get the following that the output that July is the most months in the sales of

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tickets, then August, then June.

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Now we will avoid the sampling error of the last Viju as the following using orbiter left.

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So I will take more for bigger samples from the data sheet than the six samples I created in the last

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grade.

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You lecture.

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So I will firstly import Banda's module as b'day, then I will read the C.

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S v file from the database airlines that contains the whole column of bookings so that Sevan's Sambell

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will contain twenty thousand records from the data sheet and print the Sambell.

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Then I will visualise assembled to get that July is the most Dumond's and say it's in August, then

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June.

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Then I will take the eight Sambell as the following.

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You have eight equal D.F. the same bill between two brackets.

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Fifty thousand.

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Then I will bring the eight samples, then I will visualize the eight sample to get that July month

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is almost a month in the sales of tickets, then August is in June.

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Then I will take the ninth same bill as the following the F nine, the F dot Sambell between two brackets,

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one hundred thousand.

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Then I will present the nine to.

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Now I will visualize the nine sambal and I get that.

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July is the most months in the sales of ticket in our database airlines in August, then June.

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Then I will take the 10 same bill as the following day after an equal the f the same bill between two

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brackets, two hundred thousand d.f. them to print the ten Sambell.

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Then I will visualize the same bill as the following.

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I will get a chart.

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I can conclude that July is the most July is the most months in the sales of tickets.

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Then August, then June.

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From these figures, sambas, we get the same result as both degrees equal query that in the summer

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months, that July month is the most months in.

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Sales of tickets in August, then June.

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At this point, we reach the end of this lecture.

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Hope you enjoyed this lecture and get all of that.

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And learn to avoid sampling error.

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Thank you for being here.

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Thanks for watching.

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See you soon, goodbye.