## CHECK THESE SAMPLES OF Understanding Statistics

...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

... the frequency distribution table: Age Frequency 16-27 26 28-39 9 40-51 5 52-63 1 64-76 9 From this frequency table, we can see that the data are skewed to the right. If we were to graph this table, we would **understand** that the mass of distribution is concentrated more on the left-hand side. This is because there are relatively few high values, thus skewing the graph to the right. Because this graph would not contain a normal curve, we could predict a high number of people between the ages of 16 – 27 (26 out of a total of 50 — 26/50 = 0.52 or more than half).... 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...

1 Pages(250 words)Math Problem

..., as indicated in the questionnaires as possible responses, are estimated to identify whether they make sense conceptually. (Loevinger, 1957) This ensures that the **statistical** model adopted has a perfect fit to the parameters of the study. The use of Chi-square **statistic**, the Goodness of Fit Index, the Comparative Fit Index, the Adjusted Goodness of Fit Index , use of multiple regression and finally, the root mean square used in approximating errors, serve to give a clear **understanding** of the research analysis model adopted in the study. Although the use of the Chi-square **statistic** is preferred, the sensitivity of the **statistic** especially in regard to...

4 Pages(1000 words)Essay

...1. (a) (i) Stem-and-leaf display: Stem Leaves 2 5 6 7 8 8 3 2 3 5 7 8 9 4 3 7 7 5 8 6 7 9 6 Or Stem Leaves 2 0 4 5 7 8 8 3 2 3 4 6 8 9 4 2 6 7
5
0 8
6
6
9
5
(ii) As can be seen from the diagram, most of the prices are concentrated in the 2 and 3 stems, with decreasing number of leaves in 4, 5 stems and only one leaf at 6 and 9 stems. The shape of the distribution is close to binomial distribution.
(iii) The revised mean is(409*20-958)/19=380
(iv) Median for 20 house prices is (366+384)/2=377. The revised median for 19 houses is 366
(v) Q1=(283+285)/2=284
Q3=(467+472)/2=469.5
IQR=185.5
It would be better to measure spread with IQR instead of standard deviation because, unlike the standard deviation, it is not affected by values... (a) (i)...

4 Pages(1000 words)Essay

...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...

2 Pages(500 words)Statistics Project

...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...

2 Pages(500 words)Assignment

..., 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