I Will Be Better At Estimating Essay Example

I have decided to take 20% of each of these this will give me a sample size of 36 from each year. I have chosen to gather my information by using stratified sampling.

From processing the data I see that year 7 with a mean of 1.29m is better at estimating length than the year 10's with a mean of 1.53m are. Although the year 10's mean was only 0.

17m away from the actual length of the stick, this could indicate that if the data was processed again the year 10's might be better at estimating length. The year 10's had a higher standard deviation than the year 7's this indicates that some of the year 10's data values were either very high or very low. The range confirms this, as there is a difference of 3.85 between the highest and lowest values. This tells us that this group could have been completely changed by 1 person either estimating too high or too low.

From my tables, I can see that most of year 7's estimations were in the 1.40 L 1.60 group and most of the year 10's estimations were n the 1.20 L 1.40. This tells us that the year 10's estimated more values in the right group but the very high values distorted the overall mean.

I conclude that year 7's in this case were better at estimating length than the year 10's were. This however could change if the sampling were to be done again. Evaluation thinks that I produced a valid and suitable investigation. I made sure that all my sampling was done fairly and randomly. I also took into consideration my aim

throughout my experiment so that I could perform it suitably. I feel there are things that could have been done to improve my investigation.

I think that when gathering the information pupils could have been asked to do this separately as they might have copied what someone else had put. From the data values, you can see that some people just put down the height that they were told a door was. This maybe could have been stopped if they were also told they weren't allowed to put down the height of a door as their answer. This is what I would do if the data were collected and processed all over again.