Estimating the Length of an Object
Data was collected from Year7/Year 11 pupils when they were asked to
write down their estimates (correct to 2 decimal places) of the length
of a bamboo stick (true length 1.58m) Data was recorded on sheets
showing the gender and estimates. Analyse the data using appropriate
statistical techniques.
For my comparison I am going to compare the estimates of year 7 pupils
with the estimates of year 11 pupils to find which is more accurate.
I have decided to compare year 11s with year 7s as apposed to girls
with boys as this would be harder to do as I would have to check that
my random number lands on a boy/girl.
I have decided that it is easier to take some random samples than to
use all the data as although it may not be as accurate it will be
quicker and easier.
I am going to take 40 random samples from year 7 pupils and 40 random
samples from year 11. I have decided that 40 is a reasonable number
from 178 pupils in year 11 and 173 in year 7 for a general random
sample.
I predict that, allowing for a few anomalous results, in general year
11 pupils will have estimated more accurately than year 7 pupils.
I predict this because I feel that year 11 pupils have had more
experience of predicting estimates than year 7.
To prove my prediction I shall use my random numbers to find the mean,
median, mode, range and standard deviation.
I shall then discuss my findings and write a conclusion.
I shall now use my calculator to find my 25 random numbers from year
11
I shall do this by pressing:
Shift Ran# = × x178 (number of pupils)
Year 11 :
Random pupil number
Random pupils estimate (m)
Shift ran# = 0.059 x 178 = 10.502 = 11
1.50
Shift ran# = 0.366 x 178 = 65.148 = 65
1.
I do not predict that all of my results will follow a line of best fit
To differentiate the styles of socialization between boys and girls, Tannen (1986) uses the findings from anthropologists Daniel Maltz and Ruth Borker (p. 142). When analyzing how girls socialize with each other, they generally “play in small groups or… in pairs,” (p. 142) that are close enough to where it’s difficult for an outsider to be included, but when they do manage to gain inclusion, they
Overall I believe that I got all the data I needed, and I felt that
3. U.S. Department of Education Institute of Education Sciences National Center for Education StatisticsInternational Year of Statistics 2013 (Statistics2013). "Fast Facts." Fast Facts. N.p., n.d. Web. 3 Dec. 2013. .
I graphed the fourteen schools using a scatterplot and decided to cut it down to
For this study ten participants were chosen to complete the study. For this particular study, the participants had to be the eldest and youngest child from the same family. They both also had to be raised in the same household. The pairs were picked at random and then asked to complete the test. There were three males tested and seven females tested.
In statistics, a population is a collection of individuals, things, events, etc. The population is the topic that one wants to make inferences on, whereas a sample is a subset of the population that is being collected—to be studied. After the sample is studied in statistics, one draws an inference of the population. There are four general sampling methods used in statistics: representative sample, random sample and quasi-random sample, stratified and quota sample, convenience sample, and purposive sample. A representative sample should be unbiased and thus properly indicate a characteristic of the entire population. In a random sample nothing is biased; in other words, every individual, thing or event in the population has the same chance of being selected for the sample. Therefore, because of the randomness of the sampling, the selection of one item from the population in no way effects the selection of another item. A quasi-random sample is simply a number (nth), which is
At least one hundred subjects would be divided evenly into two groups, one of which would be a control group of persons
But what happens when clothes are no longer an issue? None of the Teletubbies regularly wear clothes; neither do the characters of Gumby's Adventures. Yet ask any child familiar with the characters and they'll like answer that Gumby and Pokey are boys. How can they tell? How do they determine those assignments?
In the classroom, the girls would be all shapes and sizes. Exclusions would be boys, because the focus of this study is girl. My sample needs to be diverse to see the results from my research question. If I choose all tall skinny girls, I would not be getting accurate data. I choose two separate classrooms to insure I would end up with 30 girls. I would use a survey with six different questions. I would give the girls in both classes a letter of intent to explain the survey and the reason behind it.
- The second method I will use is calculating probabilities by the use of conditional probability.
It is always said that boys and girls are complete opposites as they grow. Girls are seen to be more timid and laid back in physical natures
If you are a boy you usually hand around with guys. playing football, basketball and other sports. A boy is expected to have “Machoness”. inside him when he grows up. If you are a girl, you would usually hang around girls.
3. Selecting a Sampling Technique: Selecting a sampling technique may require a little bit more time and may also involve several decisions, such as whether to use a Bayesian or traditional sampling approach, sample with or without replacement, and use non-probability or probability sampling
This paper discusses different types of sampling techniques used in quantitative research. It begins by looking at probability sampling (also known as random sampling) before discussing non-probability sampling (non-random sampling). The discussion ends by looking considerations that should be made before selecting a sampling technique before concluding. Because quantitative researchers prefer probability sampling and only use non-probability on rare occasions the e...