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¶ … statistics statistics and inferential statistics.
Descriptive statistics and inferential statistics are used for different types of designs. For example, correlational studies will utilize descriptive statistics to measure a set of data's central tendency along with the way variables vary and relate to one another. A Pearson r would be a type of descriptive statistics test conducted to evaluate the strength of the relationship or if there relation goes in any one direction but descriptive statistics can also be used in causal-comparative design studies to measure data variability (Statistics for the non-statistician, n.d., p. 70). Inferential statistics on the other hand are used to compare means (typically a t-test is conducted) and statistical significance is determined by whether the p value is > or < than alpha (commonly .05) (Statistics for the non-statistician, n.d., p. 61).
Another way to think of descriptive statistics is that they are "used to synthesize and describe data" by providing inedexes/parameters based on a sample of averages/percentages "calculated with data from a population...
215). Inferential statistics allow the research to infer something about the population sampled.
2. Discuss the statistical decision rules, hypothesis testing, type I and type II errors
Statistical decision rules refer to the procedures that a researcher might use in order to assess if he should reject or accept his hypothesis. Hypothesis testing is used to determine whether a question about a population is answered one way or another. A researcher will have a hypothesis and an opposite null hypothesis, which will be tested using variables and controls. Type I error is committed when a null hypothesis is rejected that is actually true and a Type II error is committed when a null hypothesis is accepted that is actually false.
3. Interpret descriptive statistics in a research article. ( you can used any article appropriate to answer this question)just make sure the article is listed in the reference section and I can have access to the article.
Dormann et al. (2012) use descriptive analysis in their study on collinearity using Pearson r-test. Their findings show that predictor variables of r > 0.7 "was an appropriate indicator when collinearity begins to severely distort model estimation and subsequent prediction" (p. 1).
4. Identify the inferential statistics used in a research article. ( you can used any article appropriate to answer this question)just make sure the article is listed in the reference section and I can have…
References
Dormann, C. et al. (2012). Collinearity: a review of methods to deal with it and a simulation study evaluating their performance. Ecography, 35: 1-20. doi: 10.1111/j.1600-0587.2012.07348.x Retrieved from http://www.biom.uni-freiburg.de/Dateien/PDF/dormann2012ecography_proofcorrections.pdf
Junco, R., Elavsky, M., Heibegger, G. (2012). Putting twitter to the test: Assessing outcomes for student collaboration, engagement and success. British Journal of Educational Technology. doi:10.1111/j.1467-8535.2012.01284.x Retrieved from http://blog.reyjunco.com/pdf/Juncoelavskyheibergertwittercollaboration.pdf
Introduction The business taken into account for the analysis is Google, Inc. The primary data being collected is on Google and on different mobile applications to evaluate the validity of whether the latter are becoming more significant and popular compared to Google. In this case, the independent variable is percentage of internet usage on Google for every period. Basically, the metric taken into consideration is the percentage of time spent on
collects sample data from 2001 households across the United States to evaluate the attributes of the participants. The total number of 50 variables are used to identify the data attributes, however, three discrete variables and three continuous variables are selected to evaluate the relationships. The selected discrete variables are Number of Children, Number of cars and Mail Buyer. However, the selected continuous variables are Athletic Dimension, Length of residence,
David & Beth Descriptive Statistics. A) Independent Variable = Rental Vacancy Mean = 10.9 Median = 11.5 Mode = 6.8 (smallest of multiple modes) Each data point was different, so technically there were 20 modes. Range = 8.3 (6.8 to 15.1) Describe what was found. Rental vacancy rates ranged from 6.8% to 15.1%, with a mean vacancy rate of 10.9%. No two states had the same vacancy rate, therefore an accurate assessment of the mode was
US Healthcare System Healthcare staffing needs are expected to change in the next 10 years. As 78 million Americans are expected to hit retirement age, there will be need for more healthcare staffs who cater for the needs of the elderly or aging population. Garson & Levin (2001) state that changes in the healthcare sector are expected to enhance patient care processes, improved quality of care, and increased efficiency. Modern trends
This type of measurement is best used when the data has also been captured at the ordinal or ratio level as the orthogonality of the data set is reliable (Marshall, Ruiz, Bredillet, 2008). Extrapolating statistics to a broader population is also dependent on the approach of randomization used. When a solid methodology, sampling frame and approach to randomization have all been defined, inferential data is often used in organizations
Statistics in the Hardware Store Statistics can be used in a variety of ways in a hardware store. Because it is a retail business, the main reason for the use of statistics for decision making that will help the business financially prosper. They are used to determine what products customers want and need and how much of each item to keep in stock. Statistics are used answer important questions like when