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Statistics - Assignment Example

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In 2004, life expectancy for U.S. women was 5.2 years longer than men.”…
a) If we add percentage for all categories than it sums to 100,…
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Download file to see previous pages of the movies made today can be seen only by patrons 13 years or older”, as the total percentage of PG-13 and R-rated 2005 movies (78.4%) is greater than 75%.3-34
e) There appears no association between the twin births (preterm induced or cesarean, preterm without procedures or term or post-term) and the level of the prenatal care (intensive, adequate, or inadequate). As shown in figure in part (d), the distribution (percentage) of the twin births for the level of prenatal care is somewhat similar. This suggests that the twin births and the level of prenatal care are not associated, that is they are independent.4-8
The average (mean) height of the singers is about 68 inches. The range of the heights of the singers is about 16 inches with minimum and maximum height being 60 and 76 inches, respectively. The IQR is about 8 inches. About half of the singers height is equal to or below 68 inches. About 50% of the singers height is in-between 65 to 73 inches.
The distribution of the horsepower of auto appears approximately uniform (slightly positively skewed). The median value is about 100 and the IQR is about 45. The range of the horsepower of auto is 90 with minimum and maximum horsepowers being 60 and 155, respectively.
c) The president is correct. The null hypothesis is not rejected, as p-value of 0.386 is greater than .05. Therefore, there is not enough evidence to support the claim that Striving College student medical applicants admitted is different from the 46% of all medical school applicants ...Download file to see next pagesRead More
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2 Pages(500 words)Research Paper
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...Be sure to show your work in case partial credit is awarded. To receive full credit, work must be shown if applicable. Section 5 Introduction to Normal Distribution and the Standard Normal Distribution 1. Use the Standard Normal Distribution table to find the indicated area under the standard normal curve. (1 points per each part) a. Between z = 0 and z = 1.24 Area to the left of z = 0 is P(z < 0) = 0.5 Area to the left of z = 1.24 is P(z < 1.24) = 0.8925 Therefore, P(0 < z < 1.24) = P(z < 1.24) – P(z < 0) = 0.8925 – 0.5 = 0.3925 b. To the left of z = 1.68 Area to the left of z = 1.68 is P(z < 0) = 0.9535 c. Between z = -1.52 and z = -0.64 Area to the left of z = -1.52 is P(z < -1.52) = 0.0643 Area to the left of z = -0.64 is P...
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...Survey Research Select a quantitative article that is related to your research question in which the results of some type of a survey are reported. Examine the demographic statistics and the means and standard deviations for items on the survey. What do they tell you about the sample? Discuss the ethical issues related to gathering demographic and survey data.  The study chosen was the Williams et. al. (1998) study wherein the researchers attempted to evaluate the extent to which patient literacy was related to their knowledge of asthma and effective use of the MDI. The study presents demographic statistics predominantly in the form of frequencies and percentages, and some in the form of means and S.D.’s. The data shows us... ? Read the...
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..., 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...
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...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...
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...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...
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