• Join over 1.2 million students every month
• Accelerate your learning by 29%
• Unlimited access from just £6.99 per month
Page
1. 1
1
2. 2
2
3. 3
3
4. 4
4
5. 5
5
6. 6
6

# Data Handling Project

Extracts from this document...

Introduction

Data Handling Project

An advertising company that has a brand new product aimed at 11-16 year old females wants to advertise their product on ITV1 and Channel 4 and has asked me to help them to find the best way of advertising this product. I need to research whether the ratio of male to female viewing time is sufficiently different between the 2 channels to warrant them of having to have different advertising strategies on each channel. I need to make sure that I concentrate on the balance between males and female viewing time rather than in total numbers of males and females watching the 2 channels. Finally I need to convince them that my findings are reliable and interpret them with graphs of my information I have gathered.

My Plan

I need a fair way to choose the people I will be interviewing to collect the information needed for this project. I need to interview about 100 people

Middle

I will now give each group a number so it doesn’t get confusing.

Now I have to find a way of choosing the 10 people in each group. There will be about 150 people in each group and to choose the 10 people I will divide this number (whatever it may be) by 10 to get an X number and I will choose every Xth number from the list of people in each group. So if there were 150 people divided by 10 would be 15 then I would choose every 15th person on the list in each group.

The Questions

I will need to find out if girls and boys watch more of ITV1 of Channel 4. I will do this by asking the following questions.

1. How many hours of ITV1 do you watch in a week?
2. How many hours of Channel 4 do you watch in a week?

This will give me the information I need to continue with this project.

Conclusion

1

C4

Girls

Boys

Although in the first 2 pie charts it seems that the girls watch C4 more than ITV1 if you look at the 3rd pie chart this is obviously wrong. This is because girls just watch more hours of television than boys. The boys mean for watching T.V between both channels for a week is on average 6 hours and 30 minutes while the girls is 9 hours. This proves that girls watch more T.V than boys.

Conclusion

In conclusion I have found that girls watch more ITV1 than C4 so it would be a better idea for more advertising to be done on ITV1 than C4. If I were to do this study again then in my questionnaire I would ask the student for their most frequent watching hours. This would help, as the advertisers would know when to put the advertisement on at the right time on the right channel.

This student written piece of work is one of many that can be found in our GCSE Height and Weight of Pupils and other Mayfield High School investigations section.

## Found what you're looking for?

• Start learning 29% faster today
• 150,000+ documents available
• Just £6.99 a month

Not the one? Search for your essay title...
• Join over 1.2 million students every month
• Accelerate your learning by 29%
• Unlimited access from just £6.99 per month

# Related GCSE Height and Weight of Pupils and other Mayfield High School investigations essays

1. ## Maths Data Handling

they show that the lightest and heaviest weight comes from the boys' part of the sample, meaning that the boys must have a higher range than the girls. The evidence that has been gathered from the sample implies that 14 out of 51, or 27% of the boys have a

2. ## Maths newspaper data collection project

I included politics, notices, jobs, adverts, finance, special interest stories, horoscopes and pictures in the 'Other' section because they are all so small by themselves that the results from them would not be any good. Then I counted how many pages there was for each section.

1. ## Data Handling Project : Heights of Girls

Since the boys S.D. was again lower then the females it is fair in saying that my random sample of boys was a better pick then my random sample of female. I could improve this by re-doing my tests or adding more people to my sample.

2. ## Maths: Data Handling Coursework

Finally, I would be drawing two scatter graphs. Scatter graphs are useful to find a relationship between height and weight. For example, whether there is a positive or negative correlation within the two variables. I could have used a cumulative frequency graph but I feel that my sample size is too small to help me gain an accurate result.

1. ## Data Handling Project

52 1.5 70 1.65 40 1.55 50 1.58 55 1.48 35 1.62 54 1.73 59 1.5 65 1.62 80 1.7 50 1.7 47 1.48 40 1.6 48 1.64 40 1.56 43 1.7 45 1.62 51 1.6 48 1.7 43 1.6 46 1.62 46 1.54 52 1.57 52 1.48 34 1.7

2. ## Data handling coursework

Mode The mode is the number that occurs most in a set of data. To work out the mode I will leave the measurements in order of size and find the number that occurs most. I will find the mode for each gender separately for all the years.

1. ## Data handling

I will also draw various graphs and tables such as scatter graph with line of best bit, standard deviation etc. Data representations that will be included in full investigation and their uses are:- * Scatter graph A scatter diagram is a type of graph drawn to show if there's any relationship between two values.

2. ## Mayfield data handling

overnight, but more so questions that have been specially selected and worded in a way to attain the best indicator of ability. Thus, the source of data is highly accurate. Reliability/Accuracy of variables The most accurate analysis of data that I will obtain is the KS2 level 2 results that students achieved.

• Over 160,000 pieces
of student written work
• Annotated by
experienced teachers
• Ideas and feedback to