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3- How would you make it an experimental (rather than correlational) study (it might help to be specific here as well and define the two types of studies in your

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

Topics Distribution of the sample mean. Central Limit Theorem. Confidence intervals for a population mean. Confidence intervals for a population proportion. Sample size for a given confidence level and margin of error (proportions). Poll articles. Hypotheses tests for a mean, and differences in means (independent and paired samples). Sample size and power of a test. Type I and Type II errors. You will be given a table of normal probabilities. You may wish to be familiar with the follow formulae and their application.

scores; (b) describe in words the general pattern of correlation, if any; (c) figure the correlation coefficient; (d) figure whether the correlation is statistically significant (use the .05 significance level, two-tailed); (e) explain the logic of what you have done, writing as if you are speaking to someone who has never heard of correlation (but who does understand the mean, deviation scores, and hypothesis

3. According to the authors, what are the “three simple steps to doing Statistics right?” 4. What

Statistics, facts, data, and comparisons are absorbing and challenging to present in a way that is anything other than, well, boring. For purposes of an informational presentation, the statistics are unavoidable. However, in this

Statistics refers to the use of numerical information in everyday life to calculate facts and figures in limitless circumstances. In addition, statistics refers to the scientific collecting, classifying, summarizing, organizing, analyzing, and interpreting numerical data. This week the class’s objectives were to apply the steps in testing a research hypothesis, to compare the means of two or more groups, and to calculate the correlation between two variables. Learning Team D’s members have reflected on each of these issues and share their insights on these objectives.

The compiled data was used to form population A of the experiment, while population B was predetermined and provided by the instructor. Research was conducted using primary sources and data collected in order to locate evidence supporting the hypotheses.

Researchers or research teams who elect a quantitative study are going to determine the relationship between an independent variable and a dependent variable within a population (Babbie, E.R., 2010). There are two types of quantitative study designs: descriptive and experimental. A descriptive design typically measures the subject once and establishes the association between the independent and dependent variables (Mujis, D, 2010). An experimental design measures the subject before and after a treatment and establishes causality between the variables (Brians, C.L. et al, 2011).

Utilize the Synthesis Table, Table of Evidence and EBA Project Evaluation Tool to complete your CLC assignment. Submit these documents for this weeks CLC assignment.

The information is presented in a direct manner, lacking unnecessary information, and written in a style which is easy for a range of readers to understand. They provide a thorough description of the development of the instrument, the norm population used, and an example of the survey, thus enabling the study to be replicated. A table of the frequencies and percentages of respondents’

| Based on explicit knowledge and this can be easy and fast to capture and analyse.Results can be generalised to larger populationsCan be repeated – therefore good test re-test reliability and validityStatistical analyses and interpretation are

The strengths of correlation research are, it doesn't have to manipulate behavior, allows for prediction and allows the researcher to examine issues that cannot be studied ethically or practically in experiments. It is also a good starting point for deeper research and for investigating whether two or more variables are related.

Statistics is a very important application used in psychology. Statistics allows for researchers to make inferences, causal conclusions, and find relationships between variables. Many measures and tests account for the wide range of statistical tools a researcher can use to present data they have collected. Some of the ones more widely used in psychology are the analysis of variance (ANOVA) and t-tests. Other key statistical points used in explaining relationships between variables, used to interpret data results, and making causal conclusions are statistical significance and Pearson’s R. Both of these help to explain correlations and relationships between two or more variables.

Day 1: Had my first day today and it was very interesting. First I had an orientation where we went over general guidelines for interns at Viacom and then we signed some paperwork. Played some icebreaker games and got a crash course in all the entities that Viacom owns such as MTV, MTV2, VH1, Comedy Central, CMT, BET. After I met with JC, one of the research analysts for MTV and I got a tour of where I was working and met fellow employees and met my supervisor Mitchell. I then attended a meeting with the research, programming and creative insight teams where we discussed millennials (people aged 15-30) and their media consumption. We watched clips about certain shows that were going to be aired and whether or not millennials would watch