A Big Role In The World Of Statistics Is Played By What

Due to financial hardship, the Nyke shoe company feels they only need to make one size of shoes, regardless of gender or height. They have collected data on gender, shoe size, and height and have asked you to tell them if they can change their business model to include only one size of shoes – regardless of height or gender of the wearer. In no more 5-10 pages (including figures), explain your recommendations, using statistical evidence to support your findings. The data found are below:

Statistics provides us with very useful tools and techniques that aide us in dealing with real world scenarios. I have been able to learn several useful concepts by studying statistics that can aide me in making rational and informed decisions that are supported by the analysis results. Statistics as a discipline is the application and development of various processes put in place to gather, interpret, and analyse the information. The quantification of biological, social, and scientific phenomenons, design and analysis of experiments and surveys, and application of

The Barbie Bungee lab was conducted in order to find the association between the amount of rubber bands and the distance the Barbie bungeed. Before performing the final experiment, the group conducted an initial investigation to get data that could be analyzed to examine the comparison from the amount of rubber bands to the length Barbie was able to bungee. In the investigation rubber bands would gradually be added one by one starting at two rubber bands. Each time a rubber band was added, three trial bungees were done and the lengths the barbie dropped were recorded. Using data collected from our background investigation, the group used excel to create a sheet displaying the data in a table, a graph showing the correlation constant, the line of best fit. The line of best fit was in slope-intercept form (y=mx+b) where y represents the length of the trial average; m represents the slope

• Provide at least two examples or problem situations in which statistics was used or could be used.

It helps clarify relationsips between variables that cannot be examined by other methods and allows prediction

A statistic is a numerical summary of a sample and a parameter is a numerical summary of a population.

Assuming unequal variances, the two sampled t-Test was applied on the data sets of female and male shoe sizes with the alpha value of 0.05. The null hypothesis was that the female and male shoe sizes have an equal mean while the alternative hypothesis was that female and male shoe sizes do not have an equal mean. With the degrees of freedom being 27, the t-statistic is -8.16. The probability that -8.16 is ≤ -1.70 is 4.5×10-9 for the one-tailed test. Also, the probability that -8.16 is ≤ ±2.05. is 9.1×10-9 for the two-tailed test. Given that both probabilities are under the alpha value of 0.05, the null hypothesis is therefore rejected, and the alternative hypothesis is accepted at the 95% confidence level.

True or False: Correlations are used to help identify the relationship between two variables. For

In this essay I will describe correlation is a measure of association as well as describe different methods of establishing a correlation between variables. In this essay I will also explain advantages and disadvantages of each method, were each must be applied, and provide particular circumstances and examples in which a researcher may want to establish correlation

2. Bivariate statistics refers to the statistical analysis of the relationship between two variables. (Points : 1)

Statistics is a mathematical science pertaining to the collection, analysis, interpretation or explanation, and presentation of data. It is applicable to a wide variety of academic disciplines, from the physical and social sciences to the humanities. Statistics are also used for making informed decisions – and misused for other reasons – in all areas of business and government. Statistical methods can be used to summarize or describe a collection of data; this is called descriptive statistics. In addition, patterns in the data may be modeled in a way that accounts for randomness and uncertainty in the observations, and then used to draw inferences about the process or population being studied; this is called inferential statistics. Both

A correlation research determines whether or not at least two variables are correlated. An example scenario, when it would be advantageous for researchers to use correlation research design, is to examine if there is any correlation exists between family income and SAT scores. The researcher describes the relationship between these two variables by checking whether an increase or decrease in family income corresponds to an increase or decrease in the SAT scores. A positive correlation exists between family income and SAT scores when family income increases lead to an increase in the SAT scores and a decrease in family income leads to a decrease in the SAT scores. A negative correlation exists when an increase in family income leads to a decrease

A correlation between two variables can arise because both variables are related to some third variable that, to some degree, effects the two variables. In other words, a third variable may be the cause of the correlation between the two variables. In order for one to accurately establish a cause, any possible explanation would have to be ruled out. The only effective way to establish causality between variables is to conduct a true experiment. A true experiment is when a comparable sample or population is split into two, where both groups will receive different treatments such as having a group manipulated and the other controlled. Nevertheless, both groups will have their outcomes assessed. After the collection of data from the assessment is complete, then it should get organized in a table. However, the amount may be too overwhelming to draw a conclusion, so this is where a scatter plot will be useful. A scatterplot is a graph that is used to plot the data points for two variables and more importantly, provide a visual representation of the

So while I never want to take a statistics course, and while statistics scientifically involves so many numbers and mathematical principles, I am now interested in seeing how statistics is different from what everyone has said. It is wonderful to think that everyone can be connected through these

The article also spends some time distinguishing what makes statistics different from mathematics and that difference is variability in the data. The framework provides an understanding for how variability effects each of the four components, in order; anticipating, acknowledging,