## CHECK THESE SAMPLES OF MA205 Elementary 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)Statistics Project

...?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...

4 Pages(1000 words)Essay

...**Elementary** **Statistics**: Unit two test X F Relative frequency 9 3604 0.3010 10 3131 0.2615 11 2749 0.2296 12 2488 0.2078 total 11972 The relative frequency represents the probability distribution of X.
(b). histogram
(c). the probability of selecting student is either 9th or tenth:
= 0.3010 + 0.2615 = 0.5625
(d). probability of getting at most 11th:
= 0.3010 + 0.2615 + 0.2296 = 0.7921
(e). the mean and standard deviation
X
Relative frequency(p)
XP
X2P
9
0.3010
2.709
24.381
10
0.2615
2.615
26.15
11
0.2296
2.5256
27.7816
12
0.2078
2.4936
29.92
total
10.3432
108.24
Mean is = 10.3432
Standard deviation = 1.1217
2.
(a) This is a binomial probability distribution; this is because a binomial...

9 Pages(2250 words)Essay

...**Elementary** Reading **Elementary** Reading Literacy is a concept which has many categories and definitions. To there is no consensus of the specific definition of literacy. On a personal viewpoint, literacy should be taken in a broad sense and without disregard to its relation to cultural and social contexts (Wheeler & Swords, 2004). One should understand that literacy may mean differently for different individuals or communities depending on the needs and demands of their culture and society (Cadiero-Kaplan, 2002). Literacy is not something that can be defined on neutral grounds because it is influenced by race, orientation, culture, class, and even gender.
Three articles discuss this matter extensively. The...

2 Pages(500 words)Article

...**Elementary** **Statistics** – Exam Solutions CHAPTER 1. Qualitative data describes the meaning rather than giving **statistical** inferences. This gives an in depth analysis of the data and have more validity. For example, gender, religion or race.
Quantitative data on the other hand focus on numbers and are more **statistically** oriented rather than focusing on the meaning or experience. This type of data provides information that is generally easier to analyze and is fairly more reliable. Examples include: national identification numbers or social security numbers.
2.
(a) Interval
(b) Nominal
(c) Ordinal
(d) Ordinal
(e) Ratio
3. (a) Continuous
(b) Discrete
4. (i) FALSE
(ii)...

2 Pages(500 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...

2 Pages(500 words)Research Paper

...Project **STATISTICS** (STAT 221) EXAMINATION #2 Answer all questions on the examination pages and show work where is needed. If more space is needed please complete the question on additional paper and submit with the exam.
CHAPTER 3
1) Find the mode, median, mean and range of the following sample data.
Maria kept track of the number of hours she spent exercising each week. The results for three months are shown below. Find the mode, median mean and range of hours Maria spent each week exercising. Show all work.
(10 points)
Data
7.70, 7.30, 6.60, 8.40, 6.70, 7.30, 7.60, 7.10, 8.40, 8.90, 8.00, 7.30.
Mode = 7.30
Frequency
Data
I
7.70
III
7.30
I
6.60
II
8.40
I
6.70
I
7.60
I
7.10
I
8.90
I
8.00
Median:
Ordered data
6.60 6.70...

10 Pages(2500 words)Essay

...**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