Statistical Investigation
All graphs should be attached.
An Investigation into the Relationships between the Heights and
Weights of a Rangeof Studentsat Mayfield High
Aim
I aim to investigate the relationship between the heights and weights
of a range of students from different demographics at "Mayfield High".
Prediction
I.
I predict initially that the average male height will be greater than
the average female height. That is due to biology stating that males
are, on average, taller than females. Not only that, but studies have
shown that a percentage of females will have stopped growing by the
age of fifteen, whilst most males will continue to grow for far longer
than that. However, I predict that due to puberty and its occurrence
often being later than year 7, the male and female heights in year 7
will be much more similar. This I hope to prove via standard
deviation.
II.
Another prediction I make is that year 11 males will be taller and
heavier than year 7 males, as well as year 11 females being taller and
heavier than year 7 females. This I will try to prove by using both
mean and medians.
III.
One more hypothesis I will make is that the range of height and weight
of the year elevens will be greater than that of the year sevens. This
would be due to puberty having different levels of effect on different
subjects, and I can hopefully prove this using cumulative frequency
graphs, interquartile ranges and box plots in conjunction with one
another.
IV.
The simplest and probably most obvious of my predictions is that the
taller a sample is, the heavier they will be, ergo positive
correlation. This should be representable via the gradient of the line
of best fit being positive.
V.
Finally, anyone of a height of less than 0.8m or weight of less than
25kg should be considered an anomaly along with heights of more than
2.
The final chapter of this book encourages people to be critical when taking in statistics. Someone taking a critical approach to statistics tries assessing statistics by asking questions and researching the origins of a statistic when that information is not provided. The book ends by encouraging readers to know the limitations of statistics and understand how statistics are
P1: Using a table, describe the physical, intellectual, emotional and social development for each of the life stages of an individual.
A researcher determines that 42.7% of all downtown office buildings have ventilation problems. Is this a statistic or a parameter; explain your answer.
Statistics Project I have been given instructions to collect data for my GCSE statistics coursework and then to represent them by interpreting them using graphs and attributes, which I think influence the prices of a second hand car. Below is my coursework flowchart that will show the steps I will take to complete my coursework. FLOWCHART = ==
Elementary School Journal, 108(1), 63-79. Sigelman, C.K., & Rider, E.A., (2006). Life-Span Human Development 5th Edition. Vernon, A.
Heart rate is the different intervals of a heart beat and is influenced in the sino-atrial node of the heart by parasympathetic and sympathetic input (Meule, et al., 2012). Heart rate is influenced by a person’s physical conditions, and health (Thayer et al., 2010). Body weight, alcohol, and smoking all influence our heart rate (Thayer et al., 2010; Karason et al., 1999). Our whole lifestyle influences our heart rate. From when we wake up to when we go to sleep, each activity our day has influences whether our heart rate increases or decreases. A data collection worksheet was given to me in a class and I had to fill out a survey and a list of activities. Each student had their information entered into a spreadsheet where I had to then choose two activities. One activity has a higher heart rate than the other and that is what we need to find using the scientific method. I hypothesize that the heart rate before resting is significantly lower than the heart rate when one eats dinner. The steps used in the scientific method is materials and methods, and the results that conclude whether the hypothesis was correct or wrong.
i.e. year 7, 8, 9, 10 and 11. In turn I will look at years 7, 9 and 11
For this research requirement I chose three different experiments to examine thoroughly. The first of these experiments came from the Journal of Experimental Child Psychology. The study done in this journal was an examination of orthographic learning and self-teaching in a bilingual and biliterate context. The aim of the study was to figure out the advantages and/or disadvantages of a student learning a native language when they are either monolingual, bilingual, or biliterate, and the study was focused on learning English because this is the most commonly learned non-native language in the world.
17.7 million American women have been victims of attempted or completed rape (National Institute of Justice & Centers for Disease Control & Prevention, 1998; Rape, Abuse and Incest National Network [RAINN], 2009) and were three times more likely to suffer from depression (World Health Organization, 2002; RAINN, 2009). Statistics like these help psychologists know how common an incident is and to determine what may be wrong with their patient thus being able to treat them more efficiently. Statistics, like those above, apply every day in psychology, are extremely important, and analyzed in a specific way.
Statistics are necessary for scientific research because they allow the researchers to analyze empirical data needed to interpret the findings and draw conclusions based on the results of the research. According to Portney and Watkins (2009), all studies require a description of subjects and responses that are obtained through measuring central tendency, so all studies use descriptive statistics to present an appropriate use of statistical tests and the validity of data interpretation. Although descriptive statistics do not allow general conclusions and allow only limited interpretations, they are useful for understanding the study sample and establishing an appropriate framework for the further analysis in the study. Further analysis using appropriate statistical methods allows the researchers to establish correlations between independent and dependent variables, define possible outcomes, and identify areas of potential study in the future accurately. Statistics is important for researchers because it allows them to investigate and interpret the data more accurately, and researchers will notice patterns in the data that would be overlooked otherwise and result in inaccurate and possibly subjective conclusions (Portney & Watkins, 2009).
Since the beginning of time research and statistics have exercised a vital role in psychology. In this succinct writing an elaboration of how research and statistics are utilized in psychology is revealed. Furthermore, the how and why of such components are expounded herein and a detailed look at primary and secondary data are exposed.
Research questions are formulated in a study to inquire about variables, both independent and dependent variables, and the relationship between them. Research questions are categorized into two, that is, qualitative and quantitative research questions. Qualitative questions are used in qualitative research like case studies, surveys and action research where the approach is non-numerical and analyses special phenomena that occur in nature. Quantitative research on the other hand is more of a systematic approach with measurable numerical quantities that go through analysis to prove a hypothesis. Finally, the research hypothesis is either approved or disapproved with regards to the results of the analysis (Laureate Online Education B.V. 2010). Hypotheses differ from research questions in that, they are predictions that researchers come up with about variables and expected relationships between them (Creswell 2008). Hypotheses are mostly used in experimental exercises and are used in making comparison of groups. Hypotheses are basically formulated in two forms; null and directional hypothesis. Null hypotheses predict the lack of relationship between groups. Alternative hypothesis is categorized into two; directional hypothesis which predicts on an expected outcome and non-directional hypotheses which make predictions without specifying differences and relationships due to lack of past information that can be used to predict the differences. The difference between a hypotheses and a research question lies on the fact that a hypothesis is a tentative statement which is more precise/specific and predicts an outcome. A research question is a general statement compared to a hypothesis (eNotes.com, Inc 2011). A hypothesis predicts an outc...
Analysis of variance (ANOVA) tests the hypothesis that the means of two or more populations are equal. ANOVAs assess the importance of one or more factors by comparing the response variable means at the different factor levels. The null hypothesis states that all population means (factor level means) are equal while the alternative hypothesis states that at least one is different.
is based on a real school. As the data has been collected for me, it
Experimental psychology is a branch of psychology that scientifically investigates psychological processes in humans that result in behavior. There are a variety of different ways to approach a psychological hypothesis. Each approach has its strengths and weaknesses, and most focus on only one aspect of psychology. All approaches have the same goal; they aspire to increase knowledge about human behavior. A few relevant approaches are physiological, cognitive, and social. I believe these approaches are the key to understanding psychological processes and behaviors, although some approaches are weaker than others.