## CHECK THESE SAMPLES OF Introduction to 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

...?Clinically Depressed Adolescents: How Conflict with Parents Impact their Emotional Rigidness through Conflictual Disengagement Concept Paper Submitted to Northcentral University Graduate Faculty of the School of Behavioral and Health Sciences in Partial Fulfillment of the Requirements for the Degree of DOCTOR OF PHILOSOPHY by LISSETTE GOMEZ Prescott Valley, Arizona April, 2013 Table of Contents **Introduction** 3 Statement of the Problem 4 Purpose of the Study 6 Research Questions 7 Definition of Key Terms 8 Theoretical Framework 9 Brief Review of the Literature 11 Research Method 28 Operational Definition of Variables 32 Measurement 33 Summary 38 Adolescents present emotionally rigid during conflicts with parents. However, current literature...

4 Pages(1000 words)Essay

...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

... s **Introduction** to **Statistics** Question a) Contingency table for the given information is as follows Industry Under 55 Over 55Total fatalities
Mining and construction
27.12
6.78
33.9
Agriculture, forestry and fishing
11.908
9.492
21.4
manufacturing, transport and warehousing
20.412
3.888
24.3
Other industries
16.56
3.84
20.4
Total Fatalities
76
24
100
b) Proportion of WA fatalities in the workplace for under 55s that did not occur in the mining and construction industries is 76- 27.12=48.88%
c) To check for the **statistical** independence of industry and age group, consider fatalities occurring in the mining and construction industry. If P(Mining&construction and Under 55)=P(Mining&construction)P(Under 55), then the events are independent. P...

6 Pages(1500 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 changes in the GDP...

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 years. In addition...

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

2 Pages(500 words)Assignment

...**Introduction** to **Statistics** Question Pair-wise correlation The table below shows a pair-wise correlation for the dependent and each of the independent variables in the dataset:
Sales
nfull
0.237185
npart
0.050085
hoursw
0.262997
ssize
-0.29379
The above output shows sale per square meter has different correlation coefficients with every other predictor variable. For instance, the correlation coefficient of sales per square meter and number of full-timers is 0.237185. This is a weak positive correlation which implies that the two variables increase or decrease together, uniformly. Sales per square meter and number of part-timers have a coefficient of 0.050085 which is a weak positive relationship. The total number of hours worked...

8 Pages(2000 words)Essay

... **Introduction** to **Statistics** Fall Assignment 6: T-Tests Analyse each one of the three cases below according to the following steps:
1. What is the appropriate test to implement and why?
2. Set up the null and alternative hypotheses.
3. What is the rejection rule?
4. Test at a significance level of 0.05 and present Excel output (copy and paste in Word document)
5. What is the rejection decision?
6. What is the conclusion?
Question 1
An investor compares the returns on car manufacturers and energy stocks.
He believes that energy stocks perform better.
He recorded 2 random samples of 6 returns in each industry. The numbers are given below:
Obs.
Car manufacturers
energy
1
11.5
9.4
2
8.2
17.1
3
3.5...

2 Pages(500 words)Assignment

...**Introduction** to **Statistics** in the United Kingdom
Purpose of the Book
The book has the purpose fo providing learners, among other practitioners, with the **statistical** knowledge they need to have when conducting different **statistical** research and analysis. The author defines **statistics** as one of the most fundamental as well as the basic knowledge that students in the higher education have to get well equipped with. Coolidge (2013) addresses the concepts of **statistics**, by use of the variables, among another day to day activities and changes that we experience in our lives though very few of us note them. This book looks at the detailed definition and the different roles that are played by statisticians in the research field. It enlightens its...

6 Pages(1500 words)Book Report/Review