Wednesday, 6 June 2018

Cinema Attendance by Age Groups

Today for maths, we were to start and complete two different tasks. The first task was about Cinema Attendance by age group. For this task we were to find a partner or work individually to solve a few questions. So I've decided to work with Jack Before we could start reading the questions we were to have a look at the line graph that had the age group attendances. As far as I know there are about 8 question to be solved with the answers. Once we were done with answering these questions, we were asked to write at least 2 paragraphs arguing why younger people are visiting the cinema a lot more than the start of the cinema's times. The paragraphs will be at the very bottom of this post. 

Here Is The Line Graph

Here Are The Questions And The Answers

Question 1 : What are scales and axes?
Answer : Axes are the two lines which are used to show the amount of data on the U and X axes
                  Scales are lines to show your statistics.

Question 2 :  Is the data discrete or continuous?
Answer : The data is continuous, as it can be measure for as long at time goes.

Question 3 : Which age is most likely / unlikely to go the cinema? - Why?
Answer :
Most Likely
               15 - 24 year old are most likely because of the pattern shown on the graph which shows that
               that 15 - 24 year old attendance rises and rises after time.
               However, 7 - 14 year olds are rising up in numbers near the very end of the line graph, meaning                    that there is the potential for 7 -14 to just make it to the top.

               Most Unlikely

               25 - 34 year olds, as well as 36 year olds and older seem to be both the lowest in the chart.
               the reason as to why they have been put together, is that we think that a few years after the chart                  ends, that they would have met around the same numbers.

Question 4 : IN which year was attendance the highest for 25 - 34 year olds?
Answer : IN between 1996 and 1997.

Question 5 : What happened in 1992 and 1994 with 15 - 24 year old attendance?
Answer : That the attendances have dropped ecstatically.

Question 6 : What would we predict the cinema admission for 2005 to be?
Answer :

                15 - 24 year olds - 54 percent
                 7 - 14 year olds - 51 percent

                 25 - 35 year olds - 38 percent

                35 year old and over - 24 percent

Question 7 : How else could this data be displayed?
Answer : Bar Graph.

Question 8 : What newspaper headline could you use for an article based on younger kids visiting the cinema                    more.
Answer : The Youngsters Have Struck Back!

The Paragraphs -


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