Introduction .
My project will be about my grades in mathematics for the past twelve years of my school life and I choose some of my grades, however I choose not only the final grades but the monthly tests and the quizzes as well, although I had some bad grades, progressing was one of my achievements and the whole point or we can say my aims from this project was to show my progress and how I was apple to improve my mathematics skills during my school life trying to build up a good future for myself in the future to get accepting in the most universities around the globe as an individual students. Body of the project .

The Data I collected was from my previous tests results and I took around 25 tests some of the quizzes and final tests as following: 80,40,46,46,21,33,80,50,60,30,46,50,42,33,80,87,60,66,80,24,80,66,24,33,24. Now I need to get the grates width by taking the highest grade and subtract it from the lowest grade and then divide the answer by 7 since we have seven classes:

Width→ 87-21 / 7 = 9.42
Width =10

After that I'm going to drew a table to show the lower grates and the upper grade in order to get the frequency, midpoint, Relative frequency and cumulative frequency

...
Final Project: Nyke Shoe Company
Barbara Greczyn
STA 201 - Principles of Statistics
Instructor Alok Dihtal
April 26, 2015
Introduction
Nyke Shoe Company has been in business for over 50 years. Over the last five years, the company has been undergoing some financial hardship due to an erratic market and an inability to understand what the consumer actually needs. In a last ditch effort to avoid bankruptcy, they have adopted a new business model which entails the development of only one shoe size. In order to achieve this goal, statistical data must be utilized and applied to make the best choice. The data used will be explained to the fullest and a conclusion will be then obtained.
Methodology
A sample group of 35 participants was gathered, 18 females and 17 males. Their heights and shoe sizes were gathered and their data was processed in three categories: shoe size, height, gender. Descriptive statistics was applied to three separate data sets, one with all participants included, one sets with just female participants, and one with just male participants. Then a two sample t-test was conducted with the assumption that there were unequal variances amongst both male and female data sets.
Results
There is a normal distribution of the data with ranges in size from size 5 to size 14 amongst the participants. With these ranges, the mean is 9.142, with a standard deviation of 2.583 and a variance...

...Trajico, Maria Liticia D.
BSEd III-A2
REFLECTION
The first thing that puffs in my mind when I heard the word STATISTIC is that it was a very hard subject because it is another branch of mathematics that will make my head or brain bleed of thinking of how I will handle it. I have learned that statistic is a branch of mathematics concerned with the study of information that is expressed in numbers, for example information about the number of times something happens. As I examined on what the statement says, the phrase “number of times something happens” really caught my attention because my subconscious says “here we go again the non-stop solving, analyzing of problems” and I was right. This course of basic statistic has provided me with the analytical skills to crunch numerical data and to make inference from it. At first I thought that I will be alright all along with this subject but it seems that just some part of it maybe it is because I don’t pay much of my attention to it but I have learned many things. I have learned my lesson.
During our every session in this subject before having our midterm examination I really had hard and bad times in coping up with this subject. When we have our very first quiz I thought that I would fail it but it did not happen but after that, my next quizzes I have taken I failed. I was always feeling down when in every quiz I failed because even though I don’t like this...

...serving size. Cereal is a staple in my home, but chosen for different reasons. Cereals that are popular with kids are starting to advertise more fiber and grains, which capture a parent’s eye. Is eating a blander colored cereal really more healthy than a vibrant colored one?
| | | | | | | | | | |
| | | | | | | | | | |
Category(X): | Cheerios | Crispix | Go Lean | Grapenuts | Rice Crispies | Special K | Honey Comb | Corn pops | Fruit Loops | Homey Smacks |
P(X=x): | 0.0118 | 0.0382 | 0.0443 | 0.0465 | 0.0554 | 0.12 | 0.138 | 0.167 | 0.173 | 0.205 |
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Top of Form
For this project, I compared the sugar content of equal serving sizes of 10 various breakfast cereals. Since serving sizes varied from brand to brand, the results were computed based on a serving size equal to 50 grams. The sugar content per 50 gram serving size was computed by using the following formula:
50 grams = Serving size to be compared
(50 x Sugar per serving) / Serving Size
Example: (50 * 1) / 30 = 1.67g of sugar per 50.00g serving
A histogram was created using a bar chart to display the sugar content per 50 gram serving size of the various cereals. The raw data (sugar content and serving size) was obtained from the nutritional content label located on the side of each box of cereal.
Median: The median is 11.82...

...Dani Socher
StatisticsProject
Mr. Seufer
1/15/2013
Shooting Guards and Field Goal Percentage
In the NBA, games are won by shooting the ball well, which makes sense. The more times your team’s players get the ball in the hoop, the more points are scored. And the more points scored, the more games won. Obviously, it is a little more complicated than that in reality, given how important defense is. But field goal percentage should be a solid indicator of games won. Field goal percentage is as simple as made shots divided by shot attempts. Once we discover if field goal percentage indicates team success, we should then examine how teams can choose players in the draft with higher field goal percentages; better shooters. We will be focusing on shooting guards, as they are the players who shoot unassisted the most.
To start, a scatterplot searching for the correlation between winning percentage of NBA teams so far in 2012-2013, and the NBA team field goal percentages.
Win%
Win%
FG%
FG%
There is a fairly strong positive correlation, as can be seen from the scatterplot. The correlation coefficient, or R, should be examined to confirm what the eye test tells us.
R = .638
.638 shows a fairly strong positive correlation, as it is close to 1.
It is clear that a higher field goal percentage means your team has a much better shot at finishing with a good winning percentage, although it is not a perfect rule.
With this knowledge, one would...

...disposable personal income, the PCE increase by 0.0953 billion dollars
(c) Comment on the significance of model (α = 0.05)
Hypotheses:
H0: β1 =0 H1 : β1 ≠ 0
Decision rule: reject H0, if |tcalc|> |t(α/2, n-k-1)|
Where tcrit = t (0.025, 98) =1.9845
Test statistic: t = = = 48.368
Decision: Reject H0 because t calc > t crit
Conclusion: There is sufficient evidence to conclude that there is significant relationship between disposable personal income and PCE at 5% level of significance.
(d) The coefficient of determination
519797.8574/541572.1763=0.9598
It implies 95.98% of the variation in PCE can be explained by the variation in disposable personal income. The rest 4.02% of the variation in PCE is due to factors other than disposable income.
(e) Test the assumptions
1. Linear test
We can find the assumption of linearity is not violated because this plot is approximately a straight line in this diagram.
2. Independent test
Hypotheses:
H0:=0 H1: ≠ 0
Decision rule: Reject H0 if D< dL (α,k,n)
Do not reject H0 if D > du
No decision if dL < D < du
Where dL (0.05,1,100)=1.65 and du(0.05,1,100)=1.69
Test statistic: Dcalc=6192.4602748/21774.3187301= 0.2844
Decision: Reject H0 because D < dL
Conclusion: There is sufficient evidence to conclude that there is positive autocorrelation at 5% level of significance.
We can evaluate the assumption of...

...ANNEXTURE
Questionnaire
Dear respondent,
I m a student of “Bhagwan mahavir college of business administration, surat” conducting a survey for my project preparation, as the requirement of partial fulfilment of subject project in third year(semester-VI) BBA in surat city of a study on “A COMPARATIVE STUDY ON BRITANNIA AND PARLE COMPANY IN SURAT CITY (A SURVEY ON BISCUIT )” I assure that the information given by you are strictly used for academic purpose only. I request you to help me in gathering information by filling up yhe following information.
Thank you,
Abhishek sojitra
Bhagwan mahavir business administration
Top of Form
1) Do you eat biscuit?
Yes
No
2) Select your likely tastes for biscuit?
Sweet
Salty
Sweet & Salty
Cream biscuit
Others
3) What type of biscuit you normally prefer?
Branded
Bakery product
4) How often do you eat biscuit?
Once in a week
Once in a month
Once in a fortnight
Alternate days
Every day
5) When do you have biscuit?
At breakfast time
At evening
Any time
6) Which brand you normally buy?
Britannia
Parle
Both
Other:
7) From where do you buy biscuit?
Provisional store
Hawkers
Convenience store
Other:
8) Out of the following brand which...

...themes run through the study guide: data analysis and
decision making techniques.
Firstly we look at data analysis. This approach starts with data that are manipulated or processed
into information that is valuable to decision making. The processing and manipulation of raw
data into meaningful information are the heart of data analysis. Data analysis includes data
description, data inference, the search for relationships in data and dealing with uncertainty
which in turn includes measuring uncertainty and modelling uncertainty explicitly.
In addition to data analysis, other decision making techniques are discussed. These techniques
include decision analysis, project scheduling and network models.
Chapter 1 illustrates a number of ways to summarise the information in data sets, also known as
descriptive statistics. It includes graphical and tabular summaries, as well as summary measures
such as means, medians and standard deviations.
Uncertainty is a key aspect of most business problems. To deal with uncertainty, we need a basic
understanding of probability. Chapter 2 covers basic rules of probability and in Chapter 3 we
discuss the important concept of probability distributions in some generality.
In Chapter 4 we discuss statistical inference (estimation), where the basic problem is to estimate
one or more characteristics of a population. Since it is too expensive to obtain the population
information, we instead select a sample...

...of 1000 flights and proportions of three routes in the sample. He divides them into different sub-groups such as satisfaction, refreshments and departure time and then selects proportionally to highlight specific subgroup within the population. The reasons why Mr Kwok used this sampling method are that the cost per observation in the survey may be reduced and it also enables to increase the accuracy at a given cost.
TABLE 1: Data Summaries of Three Routes
Route 1
Route 2
Route 3
Normal(88.532,5.07943)
Normal(97.1033,5.04488)
Normal(107.15,5.15367)
Summary Statistics
Mean
88.532
Std Dev
5.0794269
Std Err Mean
0.2271589
Upper 95% Mean
88.978306
Lower 95% Mean
88.085694
N
500
Sum
44266
Summary Statistics
Mean
97.103333
Std Dev
5.0448811
Std Err Mean
0.2912663
Upper 95% Mean
97.676525
Lower 95% Mean
96.530142
N
300
Sum
29131
Summary Statistics
Mean
107.15
Std Dev
5.1536687
Std Err Mean
0.3644194
Upper 95% Mean
107.86862
Lower 95% Mean
106.43138
N
200
Sum
21430
From the table above, the total number of passengers for route 1 is 44,266, route 2 is 29,131 and route 3 is 21,430 and the total numbers of passengers for 3 routes are 94,827.
Although route 1 has the highest number of passengers and flights but it has the lowest means of passengers among the 3 routes. From...