## CHECK THESE SAMPLES OF Statistics

...?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

...) 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 adolescents during...

4 Pages(1000 words)Essay

...for the questions in section B. This project is worth 100% of the final mark Section A: **Statistics** Quiz Answers to questions in this section require no more than one or two sentences each! 1. Quantitative variables can be discrete or continuous. Explain the difference between discrete data and continuous data, and give one example of each. Answer: A discrete variable can assume only a countable number of values such as number of persons in a family, whereas a continuous variable can assume any numerical value over a certain interval or intervals (uncountable number of values) such as height of a person. 2. A measure of location is a quantity which is ‘typical’ of the data. Give the names of three such measures, and...

10 Pages(2500 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

...The performance of 52 banks on their revenue, profits and number of employees was evaluated by analyzing the data. The **statistics** is presented in table 1, below:
Table 1: **Statistics** of 52 banks on revenue, profits and number of employees
Revenue
Profits
Employee
Mean
$6,615
$828
22,087
Median
$ 3,583
$425
12,600
Range
$33,650
$3,633
89,816
Variance
$58,033,924
$792,100
459,630,721
Standard Deviation
$7,618
$890
21,439
Based on the analysis, it can be said that the average revenue, profits and number of employees for the 52 banks under this study are $6,615,000, $828,000 and 22,087 respectively. Bank Ten is above average in terms of all three parameters. The revenue of Bank Ten was $19,875,000, which is ~ 3 times the average revenue of all...

2 Pages(500 words)Essay

...under the curve is within one standard deviation of the mean (i.e. between μ +- σ)
95% of the area under the curve is within two standard deviations of the mean (i.e. between μ +- 2 σ)
99.7% of the area under the curve is within three standard deviations of the mean (i.e. between μ +- 3 σ)
Mean of the normal distribution is equal to 4/5 of its standard deviation (σ)
All odd order moments about mean in a normal distribution vanish i.e. μ2n+1= 0 and μ2n+3= 0
Normal distribution has points of inflexion, which are equallant at μ + σ and μ - σ
The random variable has an infinite theoretical range: -¥ to +¥
REFERENCE:
Levine, David M. et al. **Statistics** for Managers Using Microsoft Excel. 5th ed. Upper Saddle River: Pearson-Prentice Hall,...

2 Pages(500 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...

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 changes in the GDP...

2 Pages(500 words)Research Paper

... 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 scatter is denser below 35,000.
As the number of individuals with less...

2 Pages(500 words)Assignment