Nobody downloaded yet

Statistics MT - Speech or Presentation Example

Comments (0) Cite this document
Determining the exact population mean is not possible unless information on all the population observations are available and that is why, statisticians often take the help of confidence intervals to determine the same from the sample mean. There are two types of tests…
Download full paperFile format: .doc, available for editing
GRAB THE BEST PAPER96.6% of users find it useful
Statistics MT
Read TextPreview

Extract of sample
"Statistics MT"

Download file to see previous pages Hence, the 95% confidence interval for the population mean using the Students t-test is given by,
In such cases, the placement of the central tendencies are Mean < Median < Mode. The mode is that value which occurs with the highest frequency and the median is the middle-most value among the observations.
5. the positively skewed cumulative distribution curves are characterized by a concentration of mass on the left-hand side of the curve. Such a curve is drawn in the side diagram. Quite clearly, since the median considers the mid-point of the curve and the mean of the curve is actually the weighted mean, considering the frequencies with which each observed value appears, the mean has a greater value than the median in this case. Thus, the rational agent will accept the mean salary of major league baseball players, rather than the median salary.
6. The decision to eliminate an applicant could be taken only after studying the percentage mean of their test marks and the variations of the marks obtained in each test from the population mean value, which is measured by the standard deviation of the observations from the mean. The higher the population mean and lower the standard deviation are, the better is the situation considered. In fact, a high standard deviation implies a lower consistency in activities and thus the situation which displays the highest value, is considered as the worst one. In this particular case, it is found that the test results of Applicant 3 has the highest standard deviation and thus he is the one ho should be eliminated.
= (800/2000) x 100 = 40%. From the normal table it is known that at 95% confidence interval using to-tailed tests, the value of the standard normal variate is 1.96. Hence, the formula to calculate the 95 percent confidence interval about the true population percentage ...Download file to see next pagesRead More
Cite this document
  • APA
  • MLA
(“Statistics MT Speech or Presentation Example | Topics and Well Written Essays - 2000 words”, n.d.)
Statistics MT Speech or Presentation Example | Topics and Well Written Essays - 2000 words. Retrieved from
(Statistics MT Speech or Presentation Example | Topics and Well Written Essays - 2000 Words)
Statistics MT Speech or Presentation Example | Topics and Well Written Essays - 2000 Words.
“Statistics MT Speech or Presentation Example | Topics and Well Written Essays - 2000 Words”, n.d.
  • Cited: 0 times
Comments (0)
Click to create a comment or rate a document
...Due Statistics Report II This study analyzed the number of phone calls made home by a small sample (n=40) of undergraduate students. In this study, the number of phone calls made home was the dependent variable, and both the year of the student (freshmen, sophomore, junior, or senior) and the gender of the student were independent variables. Because this study has two independent variables and one dependent variable, a factorial ANOVA design is most appropriate. The gender factor has two levels: male and female, and the year factor has four levels (freshmen, sophomore, junior, or senior), meaning we have a 4x2 ANOVA design. Because we have a 4x2 ANOVA design, one interaction effect is possible (between the gender and...
2 Pages(500 words)Research Paper
...?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 ...
1 Pages(250 words)Math Problem
Mt saint hellens
...Mt saint Hellens Hurricane Andrew Hurricanes are tropical storms that possess massive winds of approximately 74 Mph and having size ranging amid 200 to300 miles. They are violent and cause so countless tragedies due to the potential hazards that they pose to the nature, economy and buildings. The wind’s high speed is the core cause of the deaths and damage on nature, people, economy and structures. Hurricane Andrew occurred in United States amid August 16 and 27 1992 (Harper 93). It hit American during Atlantic Hurricane season and marked as the second severe disparaging in the US account nearly for a period of 30 years. This hit many lands, which include the Bahamas, Southern Florida, and the land of South Central...
3 Pages(750 words)Research Paper
...) explores how adolescent depression influences the course of angry and dysphoric adolescent on their emotional behaviors within the parent-adolescent interactions. The study consisted of 72 depressed and 69 of non-depressed youths, in which they were recorded during positive and conflictual engagement with their parents. The statistical data analysis method used was a second-to-second binary data, which were changed to data showing the incidences of a particular affective behavior within a perpetual 60s throughout the interaction, which was aimed at depicting the emotional behavior incidents. Sheeber et al. (2012) supports theory that depression is directly connected to the increased occasions of dysphotic behavior in...
4 Pages(1000 words)Essay
The Mt Piper Power Station
...MT. PIPER POWER STATION Site Visit Report OVERVIEW: The Mt Piper Power Station uses of-the-art design and technology that makes it efficient and environmentally clean energy production. It operates two 660-megawatt turbo-generators. Each is about 50m long and weighs 1342 tonnes. About 18,000 megalitres of water per year are provided by the Fish and Cox's rivers for cooling purposes. The water is pumped from Lyell Dam, about 20 kilometres from the power station to the Thompsons Creek dam which provides an additional 27,000 megalitres. LOCATION: Mt Piper Power station is in the Central West region of New South Wales. Located near the highway to Mudgee, it is 25 km west of Lithgow, and 5...
5 Pages(1250 words)Essay
...Running Head: Forensic – MT Forensic – MT Forensic – MT Forensic Accounting is relatively newer branch of Accounting and is defined in a generic manner as a discipline ‘where auditing, accounting and investigative skills are used to assist in disputes involving financial issues and data and where there is a suspicion or allegation of fraud’ (Hopwood, Leiner & Young, 2008). The current paper will provide details regarding the background to forensic accounting and its implication in the legal environment and its impact on businesses and information systems and overall audit functionality. Finally the Sarbanes Oxley Act 2002 and standard set out by its governing board PCAOB are examined for making ground for forensic accounting... Head:...
2 Pages(500 words)Essay
..., 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. Resources 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...
2 Pages(500 words)Research Paper
...Statistics Introduction Carbon dioxide’s concentration in the atmosphere is changing from time to time across the years. There are a number of evidences which show that the concentration of atmospheric carbon dioxide has been steady increasing globally. This rise is attributed to increasing human and industrial activities across the globe. Unlike moisture in the atmosphere, carbon dioxide is mixed well in the atmosphere thus its circle can go unnoticed due to relatively slow changes. The level or rather the amount of carbon dioxide in the atmosphere is measured easily because it is a greenhouse gas; causing surface warming. Therefore, this paper presents carbon dioxide data and a presentation of its trend over the...
4 Pages(1000 words)Essay
...due Statistics Assignment Question Summary Statistics Life Expectancy Mean 76.0752 Standard Error 0.257757 Median 76.38245 Mode #N/A Standard Deviation 1.840753 Sample Variance 3.388371 Kurtosis -0.55827 Skewness -0.66657 Range 6.808189 Minimum 71.86361 Maximum 78.6718 Sum 3879.835 Count 51 From the summary statistics, the data is normally distributed with the mean approximately equal the median. (76.0752 ≈ 76.38245). Moreover, the skewness is not statistically different from zero. Question 2 Life expected can be termed as directly influenced by the average income. The scatter diagram shows that higher income earners have higher life expectancy. Note also that the...
2 Pages(500 words)Assignment
...a regression model as shown below: Regression Statistics Multiple R 0.722330899 R Square 0.521761927 Adjusted R Square 0.515577814 Standard Error 635277.1578 Observations 236   Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept -591420.7785 153485.3741 -3.85327 0.00015 -893824 -289017 sq-ft 326.5526297 43.67605433 7.476697 0.00000 240.5002 412.605 BATHS 160839.1163 43292.87465 3.715141 0.00025 75541.68 246136.6 BEDS 8436.754376 42477.8691 0.198615 0.84274 -75254.9 92128.43   Df SS MS F Significance F Regression 3 1.02151E+14 3.41E+13 84.37134 0.0000 Residual 232 9.36299E+13 4.04E+11 Total 235 1.95781E+14       The above regression model can be summarized as: House Price = -591420.7785 + 326.5526297...
3 Pages(750 words)Essay
sponsored ads
We use cookies to create the best experience for you. Keep on browsing if you are OK with that, or find out how to manage cookies.
Let us find you another Speech or Presentation on topic Statistics MT for FREE!
Contact Us