## CHECK THESE SAMPLES OF Statistic Analysis

...?GS Statistic> and Section # of Analyzing Data **Statistically** For a Research Paper The following report contains study results performed on 100 students of a university, who had been chosen randomly from different areas of the university and were enquired about their ages. The data was collected from students at different times of the schooling hours. The data was collected has been presented in tabulated form in fig i and fig i (a) No.of students Student ages 1 17-18 5 18-19 15 19-20 19 20-21 22 21-22 21 22-23 14 23-24 3 24-25 Figure i (a) Type of Data There are two basic types of data quantitative and qualitative. Quantitative data refers to an observation based upon facts and numbers, where... and Section # of Analyzing Data...

5 Pages(1250 words)Statistics Project

...PAT:
Mean = 154.
95% confidence interval for Mean: 145.5 thru 161.8
Standard Deviation = 9.61
Hi = 167. Low = 140.
Median = 154.
Average Absolute Deviation from Median = 7.67
MARK:
Mean = 178.
95% confidence interval for Mean: 170.2 thru 186.5
Standard Deviation = 10.8
Hi = 195. Low = 165.
Median = 178.
Average Absolute Deviation from Median = 8.33
SHERI:
Mean = 156.
95% confidence interval for Mean: 148.0 thru 164.3
Standard Deviation = 7.41
Hi = 166. Low = 145.
Median = 157.
Average Absolute Deviation from Median = 5.50
The F ratio 12.57 is larger than the F crit value 3.68. Mark is the best packer followed by Sheri. The difference between him and the other two packers is...

4 Pages(1000 words)Essay

...) Schlumberger LTD
4) TIMKEN Company
5) Curtis Wright Corp
6) Milacron Inc
7) Cinergy Corp
8) Viad Corp
Loser Companies
1) Kroger Company
2) Phelps Dodge Corp
3) UAL Corp
4) Pfizer Inc
5) Hartmarx Corp
6) Merck & Co Inc
7) Cooper Industries Inc
8) Texas Instruments Inc
d)
Z= x- /
Z (0.12) = -1.175
-1.175 = x - 0.05 / 0.08
X = -0.044
Below -0.044 to Stock is considered as a loser.
Qusetion # 3:
a) Null Hypothesis
Ho: = 0.02
Alternate Hypothesis
Ha: > 0.02
It is a Right Tail Test
b) Critical Value
Since n > 30 use Z-distribution
Z 0.05 = -1.645
c) Test Static
z = (x - ) / ( / n)
z = 0.02-0.05/ 0.08/90
z = -0.03/0.0084
z = -3.5575
d) Decision
As Critical Value is < Z-Test...

10 Pages(2500 words)Essay

...is within 0 and 100, where 0 shows the worst results (Nath, 2004, p.7).
As to the methods used widely in country risk **analysis**, I can mention the following:
Qualitative methods: these methods are mainly based on experts’ conclusions, in which various factors influencing the country risk are analyzed (Meldrum, 2000, p.7). The result can be considered subjective since they are based on opinions. Thus, the results are difficult to fully be trusted in.
Quantitative methods split up into: cataloging of country risks and economic methods for country risk evaluation. For the first, the most significant variables in a country’s development are chosen from available **statistic** data. The resulting risk value R...

4 Pages(1000 words)Essay

...**Statistics** A. The starting salary for new college graduates in computer information is $47,500 on average with an even distribution and a standard deviation of $45,000. To figure out the probability of a new college graduate earning a starting salary of somewhere between $45,000 and $50,000, we must begin by establishing a number sequence representative of standard salary distribution. This could look as follows: $43,000, $47,50 and $52,000. With these possibilities, the mean is obviously $47,50 with the standard deviation of $4,500 represented. Each of these figures allows for a 33% chance of a starting salary. Since the figure bracket we are wondering about is somewhere between $45 and $50k, we must use the product...

8 Pages(2000 words)Essay

...Use of **Statistics** in the Media of the Use of **Statistics** in the Media Praful Bidwai’s essay that talks of the estrangement of the leftist parties of India from their core support base looks at the loss of farmers as a support group for these parties. For this, he employs a certain piece of **statistics** that can be used to understand the despair and misery that is a part of the lives that the farmers of many parts of India lead. He remarks that 250,000 farmer suicides have not been enough for the left parties to strongly take up the cause of these underprivileged people. The force of the **statistic** is counted upon in his essay, “Challenges for Left” which appeared in the...

2 Pages(500 words)Assignment

... **Statistics**, Essay Topic: **Statistics** Sample **statistics** for the population surveyed in this study sought to identify factors leading to type II diabetes mellitus. The survey questionnaire involved identifying the sample perception of diabetes, whether it was a dangerous disease, the cause of diabetes, measures to be taken to prevent diabetes, dietary measures to prevent the disease, and the sample population perception of the category of people likely to develop type II diabetes. In characterizing the sample, frequency tables showed that all the sample subjects were males, 30 in number, with their age ranging from 26 years to 35 years, thereby representing a 100 per cent (see pie chart in Figure 1).
Figure 1: Age group represented... . In this...

3 Pages(750 words)Essay

...**Statistics** Bar graph of mean waist size of males and females by age groups Graph Mean waist The graph shows a trend of increasing waist as people tend to mid age. The waist size then declines another gradual increase. Men also have higher waist size than women except between 56 years and 60 years. Factors like aging and error could explain this.
Pie chart
The following pie chart represents distribution of cholesterol level of the participants
Chat 1: Distribution of Cholesterol level
The graph shows that most of the participants have chplesterol level of between 0 and 300. The level of between 100 and 200 has the highest frequency followed by the level of between 200 and 300 and then the level of between 0 and 100.
The...

2 Pages(500 words)Statistics Project

...=21.79; SD=2.939.
Tests of Between-Subjects Effects
Dependent Variable:Lifestyle
Source
Type III Sum of Squares
df
Mean Square
F
Sig.
Partial Eta Squared
Corrected Model
4.484a
6
.747
1.447
.221
.175
Intercept
80.114
1
80.114
155.067
.000
.791
Social
4.484
6
.747
1.447
.221
.175
Error
21.182
41
.517
Total
306.000
48
Corrected Total
25.667
47
a. R Squared = .175 (Adjusted R Squared = .054)
An Anova **analysis** was done with lifestyle as the dependent variable and social life as the independent variable. Anova **analysis** was done to determine if lifestyle and social life were **statistically** significant and if there had any relationship. Identifying the relationship between the variable would...

2 Pages(500 words)Research Paper