The assignment "Choosing and Using Statistics" presents the graph of the points. Using excel, the following graph is obtained for the points. Similarly, regression features of excel can be used to determine the slope and the y-intercept. Linear regression yields the following equation…
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This is an indicator that the points have a linear trend. The slope of the graph, 0.39, means that for every unit increase in performance in calculus, a student will attain a corresponding improvement of 0.39 in statistics. The y-intercept means that the minimum statistics marks that an acalculous student can score are 47.317.
Multiple R, defined as the coefficient of correlation is an indicator of the strength of the relationship between marks of the two subjects while R squared measures the proportion of the data that is explained by the model (Dytham, n.p.).
The distribution is skewed. This is because of the results obtained from descriptive statistics. The value corresponding to skewness is 0.131, as obtained from excel. This means that the values are slightly skewed to the right (Dytham, n.p.).
... main effects are possible. A univariate analysis of variance (factorial ANOVA) was conducted on SPSS 18.0 to determine the significance of these three possible effects. The first thing to check when conducting a factorial ANOVA is Levene’s Test of the equal variance assumption. This test had a p=0.624, indicating that the equal variance assumption has not been violated. Since we can assume equal variance, we can use the given F and p statistics given in the between subjects table. The 4x2 ANOVA failed to demonstrate an interaction effect at the 0.05 error level between class and gender (F(3,32)=0.901, p=0.451), but did demonstrate a significant main effect for class (F(3,32)=18.342, p<0.001). Class had a partial eta-squared (effect size... Due Statistics Report II This study...
...?Because there are 50 numbers, we can divide these numbers into groups of 10 (5 groups). Next we subtract the lowest number from the highest number (76 — 16 = 60). After this, we will divide the difference by the number of groups that we came up with (60 / 5 = 12). Once we get the class width (12), we add it to the lowest number in order to get the lowest class limit (16 + 12 = 28). If we keep on repeating this step, we can determine all the appropriate class limits (28 + 12 = 40, 40 + 12 = 52, 52 + 12 = 64, and 64 + 12 = 76). Because these are the maximum limits, we have to subtract 1 from each class limit (16 + 12 — 1 = 27, 28 + 12 — 1 = 39, 40 + 12 — 1 = 51, 52 + 12 — 1 = 63). Now that we have worked this out, we can create... there are 50 ...
...of the example taken The example considered for this report is from the latest news release by Bureau of Labor Statistics, U.S. Department of Labor. The date of the news release was 2nd September, 2011. This news release basically depicts the employment situation in U.S. as of August, 2011. The example is a 38 page report with two types of data – household survey data and establishment survey data (depending upon the source of data). 2. Frequency distribution reporting Reporting by means of frequency distribution can be noted at a number of places in this example. It would be prudent to depict the same by means of Table 2.1 as shown below: Table 2.1: Use of frequency distribution in reporting data #...
...?Gas Prices: Data Analysis Using Descriptive Statistics The price levels of gasoline and other sources of energy vary over time; however, there is a distinct variation in the prices of gasoline according to geographical regions, a fact that can be explained by diverse factors. The United States Department of Energy classifies different regions in the country according to their geographical placement, and this research study will try to compare the differences in gasoline process according to these regions. This study will be done through an application of descriptive statistics to price data for the different regions. This is done by correlating the price data, refinery locations, and the...
...Order 204474 INTRODUCTION Using and Interpreting StatisticsStatistics and biostatistics enabled medical practitioners to take apart authenticity from randomness and fiction as it steered organized reasoning, evaluation and decision-making, a vital component in the scientific sphere of medicine (Jenicek 2002, 26). Coupled to this are the advances in informatics' which made possible the treatment of huge quantity of data by highly developed and multifaceted analytical methods, refined samplings, or superior medical data linkage (Jenicek 2002, 26).
Materials and Methods
Informational data from a study associated with childhood diabetes, informational data from a heart and lung...
...Order 204473 INTRODUCTION Using and Interpreting StatisticsStatistics or data is synonymous to informational figures that can be derived from investigatory processes and whose meanings can be interpreted after analysis. Modern Medicine employs biostatistics; a procedural technique that will allow practitioners to work with valid findings for sheer system of interpretation, appraisal and management. In addition, the development in electronic technology enhances the manipulation of such informational data for close to precise clinical assessments and supervisions.
Material and Methods
Informational data from a study associated with childhood diabetes, informational data from a heart and lung surgery, and informational data... thirty...
...There are usually five steps in using inferential statistics to test our claims about a particular scenario. These steps are as follows mentof the hypothesis.
This is where we identify our null and alternative hypothesis.
2. Identify the critical value.
This is identified by looking up the values in the z-distribution or t-distribution tables taking into consideration the required confidence interval.
3. Compute test value.
The test value is computed using the appropriate formula. For the sample proportions (#1-4) and sample means and sample standard deviation(#5-6), I used the means from the table that was uploaded.
Since questions 1 to 4 involve population...
..., particularly in the U.S. This research paper therefore aims at establishing the relationships between the changes in the GDP and house sales. In determining such relationships, this research paper will focus on literature material and the statistical inferences.
The link between GDP and the change in the sales of the housing and real estate units is evidenced by the data on the performance if these two variable over time. The data from the department of labor and economics show that these two variables have a strong positive relationship. This is evidenced by the great global economic and financial crisis of 2009 that negatively affected the housing and real estate sector through the housing bubbles. These...
..., the management should pay attention to aspects which are associated with a high level of importance. For instance, the management should improve the physical appearance of the sports centre; additionally, the management should ensure the sports centre has adequate advanced-sports-equipments.
Beiske, B., 2007. Research Methods: Uses and Limitations of Questionnaires, Interviews and Case Studies. München: GRIN Verlag.
Deloitte, 2014. Deloitte: Sports Business Group. Deloitte, [Online] Available at [Accessed 28 August 2014].
Field A., 2009. Discovering StatisticsUsing...
...TR= (50, 000000*40)
c) TR=Quantity supplied*price
The total revenue (TR) will increase i.e. from $2 billion to $2.5 billion.
d) Elasticity of demand is a ration used to show the understanding of price in terms of ratio in quantity demanded to price:
Price Elasticity of demand is the ratio of quantity demanded to the price in form of percentage (Zubair & Habibah, 2011).
Change in Qd = 30 – 40
= - 10
% change = -10 * 100%
= - 10 %
Change in price = 40 – 30
The change in % = 10 * 100%
= 10 %
2 Pages(500 words)Statistics Project
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