The document analyzes the probability distribution of landing on different sides when tossing a traditional Mongolian game piece called a shagai. Data was collected from tossing a shagai 200 times and recording the results. Statistical analysis found the probability of landing on sheep or goat sides was highest at around 0.385, while probability of camel and horse were lower at 0.095 and 0.135 respectively. The distribution was modeled using a three-parameter function estimated through the method of moments and maximum likelihood estimation. Confidence intervals were also calculated based on results from 50 trials of tossing shagai 20 times each.
Shelter is one of our basic needs: it is a place that can protect us from the elements, keep us warm and safe, and give us the encouragement to satisfy our . human's physiological needs as the base of a triangle to show that meeting these needs are the most important in our lives.
Shelter is one of our basic needs: it is a place that can protect us from the elements, keep us warm and safe, and give us the encouragement to satisfy our . human's physiological needs as the base of a triangle to show that meeting these needs are the most important in our lives.
Unit 1, Lesson 1.1 - Introduction to Sciencejudan1970
Unit 1, Lesson 1.1 - Introduction to Science
Lesson Outline:
1. What is Science?
2. Science as a Body of Knowledge
3. Science as a Product and a Process
4. Limits of Science
Interactive Presentation covering layers of atmosphere and their extent in detail. This Presentation covers the following topics:-
-LAYERS OF THE ATMOSPHERE
-TROPOSPHERE
-STRATOSPHERE
-MESOSPHERE
-THERMOSPHERE
-EXOSPHERE
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Chapter 4 - Heat, Science, Class 7
HEAT
HOT AND COLD
THERMOMETER
CLINICAL THERMOMETER
HOW TO USE CLINICAL THERMOMETER?
WHILE USING CLINICAL THERMOMETER, THE FOLLOWING PRECAUTIONS SHOULD BE TAKEN
LABORATORY THERMOMETER
WHILE USING LABORATORY THERMOMETER, THE FOLLOWING PRECAUTIONS SHOULD BE TAKEN
DIGITAL THERMOMETER
TRANSFER OF HEAT
CONDUCTION
CONDUCTORS
INSULATORS
CONVECTION
RADIATION
SEA BREEZE
LAND BREEZE
CLOTHES IN WINTERS AND SUMMERS
HOW DO WOOLLEN CLOTHS KEEP US WARM?
Every topic of this chapter is well written concisely and visuals will help you in understanding and imagining the practicality of all the topics.
By Shivam Parmar (Entrepreneur & Teacher)
Get complete History of Atomic Theory. It includes All the short and detailed views of atomic theory. It includes Atomic theory is a scientific description of the nature of atoms and matter that combines elements of physics, chemistry, and mathematics. According to modern theory, matter is made of tiny particles called atoms, which are in turn made up of subatomic particles. Atoms of a given element are identical in many respects and different from atoms of other elements. Atoms combine in fixed proportions with other atoms to form molecules and compounds.
The theory has evolved over time, from the philosophy of atomism to modern quantum mechanics.Atomic theory originated as a philosophical concept in ancient India and Greece. The word "atom" comes from the ancient Greek word atomos, which means indivisible. According to atomism, matter consists of discrete particles. However, the theory was one of many explanations for matter and wasn't based on empirical data. In the fifth century BCE, Democritus proposed that matter consists of indestructible, indivisible units called atoms. The Roman poet Lucretius recorded the idea, so it survived through the Dark Ages for later consideration.It took until the end of the 18th century for science to provide concrete evidence of the existence of atoms. In 1789, Antoine Lavoisier formulated the law of conservation of mass, which states that the mass of the products of a reaction is the same as the mass of the reactants. Ten years later, Joseph Louis Proust proposed the law of definite proportions, which states that the masses of elements in a compound always occur in the same proportion.
These theories didn't reference atoms, yet John Dalton built upon them to develop the law of multiple proportions, which states that the ratios of masses of elements in a compound are small whole numbers. Dalton's law of multiple proportions drew from experimental data. He proposed that each chemical element consists of a single type of atom that could not be destroyed by any chemical means. His oral presentation (1803) and publication (1805) marked the beginning of the scientific atomic theory.
In 1811, Amedeo Avogadro corrected a problem with Dalton's theory when he proposed that equal volumes of gases at equal temperature and pressure contain the same number of particles. Avogadro's law made it possible to accurately estimate the atomic masses of elements and made a clear distinction between atoms and molecules.
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Unit 1, Lesson 1.1 - Introduction to Sciencejudan1970
Unit 1, Lesson 1.1 - Introduction to Science
Lesson Outline:
1. What is Science?
2. Science as a Body of Knowledge
3. Science as a Product and a Process
4. Limits of Science
Interactive Presentation covering layers of atmosphere and their extent in detail. This Presentation covers the following topics:-
-LAYERS OF THE ATMOSPHERE
-TROPOSPHERE
-STRATOSPHERE
-MESOSPHERE
-THERMOSPHERE
-EXOSPHERE
I have expertise in making educational and other PPTs. Email me for more PPTs at a very reasonable price that perfectly fits in your budget.
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Chapter 4 - Heat, Science, Class 7
HEAT
HOT AND COLD
THERMOMETER
CLINICAL THERMOMETER
HOW TO USE CLINICAL THERMOMETER?
WHILE USING CLINICAL THERMOMETER, THE FOLLOWING PRECAUTIONS SHOULD BE TAKEN
LABORATORY THERMOMETER
WHILE USING LABORATORY THERMOMETER, THE FOLLOWING PRECAUTIONS SHOULD BE TAKEN
DIGITAL THERMOMETER
TRANSFER OF HEAT
CONDUCTION
CONDUCTORS
INSULATORS
CONVECTION
RADIATION
SEA BREEZE
LAND BREEZE
CLOTHES IN WINTERS AND SUMMERS
HOW DO WOOLLEN CLOTHS KEEP US WARM?
Every topic of this chapter is well written concisely and visuals will help you in understanding and imagining the practicality of all the topics.
By Shivam Parmar (Entrepreneur & Teacher)
Get complete History of Atomic Theory. It includes All the short and detailed views of atomic theory. It includes Atomic theory is a scientific description of the nature of atoms and matter that combines elements of physics, chemistry, and mathematics. According to modern theory, matter is made of tiny particles called atoms, which are in turn made up of subatomic particles. Atoms of a given element are identical in many respects and different from atoms of other elements. Atoms combine in fixed proportions with other atoms to form molecules and compounds.
The theory has evolved over time, from the philosophy of atomism to modern quantum mechanics.Atomic theory originated as a philosophical concept in ancient India and Greece. The word "atom" comes from the ancient Greek word atomos, which means indivisible. According to atomism, matter consists of discrete particles. However, the theory was one of many explanations for matter and wasn't based on empirical data. In the fifth century BCE, Democritus proposed that matter consists of indestructible, indivisible units called atoms. The Roman poet Lucretius recorded the idea, so it survived through the Dark Ages for later consideration.It took until the end of the 18th century for science to provide concrete evidence of the existence of atoms. In 1789, Antoine Lavoisier formulated the law of conservation of mass, which states that the mass of the products of a reaction is the same as the mass of the reactants. Ten years later, Joseph Louis Proust proposed the law of definite proportions, which states that the masses of elements in a compound always occur in the same proportion.
These theories didn't reference atoms, yet John Dalton built upon them to develop the law of multiple proportions, which states that the ratios of masses of elements in a compound are small whole numbers. Dalton's law of multiple proportions drew from experimental data. He proposed that each chemical element consists of a single type of atom that could not be destroyed by any chemical means. His oral presentation (1803) and publication (1805) marked the beginning of the scientific atomic theory.
In 1811, Amedeo Avogadro corrected a problem with Dalton's theory when he proposed that equal volumes of gases at equal temperature and pressure contain the same number of particles. Avogadro's law made it possible to accurately estimate the atomic masses of elements and made a clear distinction between atoms and molecules.
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Facebook https://bit.ly/3x45gGA
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Free Assignments, Thesis, Projects & MCQs https://bit.ly/3hk7PlG
Latest Jobs Diya.pk
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Why mathematics is easy to understand, easy to do, and easy to prove in base 60. The number theory behind the creation story and the beginning of time.
The learning outcomes of this topic are:
- Recognize the terms sample statistic and population parameter
- Use confidence intervals to indicate the reliability of estimates
- Know when approximate large sample or exact confidence intervals are appropriate
This topic will cover:
- Sampling distributions
- Point estimates and confidence intervals
- Introduction to hypothesis testing
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8. Assume the speed of vehicles along a stretch of I-10 has an app.docxJospehStull43
8. Assume the speed of vehicles along a stretch of I-10 has an approximately normal distribution with a mean of 71 mph and a standard deviation of 8 mph.
a.
The current speed limit is 65 mph. What is the proportion of vehicles less than or equal
to the speed limit?
b.
What proportion of the vehicles would be going less than 50 mph?
c.
A new speed limit will be initiated such that approximately 10% of vehicles will be over
the speed limit. What is the new speed limit based on this criterion?
d. In what way do you think the actual distribution of speeds differs from a normal distribution?
Ans.
a.
m
= 71 mph;
s
= 8 mph
The proportion of vehicles less than or equal to the speed limit 65 mph = 0.2266
b. The proportion of the vehicles would be going less than 50 mph = 0.0043
c. The new speed limit would be 81.25 mph (approximately 81 mph).
d. The actual distribution of speeds on a highway differs from the normal distribution in that
i. It is not symmetric. The speeds are not symmetrically distributed about the central vaue. Two speeds that are an equal amount greater or lower than the mean speed, may not have the same frequency as is required for a normal distribution.
ii. Secondly, the speeds further away from the average speed do not drop in frequency as rapidly as in normal distribution. The frequency of the extreme values may not be as low as in normal distribution, resulting in a fatter tail. The distribution may also be skewed in one direction. This is especially true in highways where the distribution will be expected to be positively skewed- greater frequency in the higher speed range than lower.
11. A group of students at a school takes a history test. The distribution is normal with a mean of 25, and a standard deviation of 4. (a) Everyone who scores in the top 30% of the distribution gets a certificate. What is the lowest score someone can get and still earn a certificate? (b) The top 5% of the scores get to compete in a statewide history contest. What is the lowest score someone can get and still go onto compete with the rest of the state?
Ans
. For the test, the mean score
m
= 25;
s
= 4
Using the normal calculator (Ch-7, Lane),
a. the lowest score someone can get and still earn a certificate = 27.096 (or approx.. 27.1)
b. the lowest score someone can get and still go onto compete with the rest of the state = 31.58 (or approx. 31.6)
12. Use the normal distribution to approximate the binomial distribution and find the probability of getting 15 to 18 heads out of 25 flips. Compare this to what you get when you calculate the probability using the binomial distribution. Write your answers out to four decimal places.
Ans
For the binomial distribution
of coin flipping, probability of getting a head (success) in one flip = p = 0.5
N = no. of trials = 25
Mean is
m
= N*p = 25 * 0.5 = 12.5
Variance σ
2
= Np(1-p) = (25)(0.5)(0.5) = 6.25
The standard deviation is therefore σ .
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
The Distribution of Shagai /Report/ - Шагайны тархалт
1. WHAT IS THE DISTRIBUTION FUNCTION
OF “SHAGAI” TRADITIONAL GAME?
STATISTICS AND NUMERICS
GMIT – BACHELOR II students
TEAM 2: Bat-Ochir , Indra , Enkhnomin, Battsengel, Naranbileg
11/25/18
2. ABSTRACT
This paper analyzes what is the distribution function of “shagai” traditional game. To answer
this question, we made trials which was tossing one shagai and noticing how the shagai was
landed.
We measured 200 samples and calculated descriptive statistics such as mean, variance and
illustrated proper figure. In order to find out parameters of function, we used Maximum
likelihood estimator, Moment of method and calculated confidence interval for the average
probability.
Our results showed the function with three parameters and it shows that the probability of
landing sheep and goat are greater than horse and camel.
3. INTRODUCTION
Shagai is one of the Mongolian traditional games. Shagai generally land on one of its four
sides: horse, camel, sheep and goat. A fifth side-cow is possible on uneven surface and was not
observed in our trial.
The purpose of this assignment was to determine the distribution function of shagai, also called
probability distribution function. The probability of landing on one side is not same in all four
sides. Because the outer surface of shagai is not even and has different areas.
In our prediction, the probability distribution of tossing shagai is biased because gravity and area
of landing surface directly affects the probability.
4. SAMPLE PROTOCOL
The raw data is collected by the trial of tossing shagai. Shagai is tossed 200 times and
each result is listed on excel. Tossing shagai has four outcomes (horse, camel, sheep and
goat). In data they are converted into numbers for further calculation. For example: sheep
x=0, goat x=1, camel x=2, horse x=3.
For confidence interval calculation, the different trial was needed to be performed. Shagai is
tossed 20 times and the probability of each outcome is calculated. This trial is conducted 50
times. At the end, we got 50 values of probability for each outcomes.
Trial 1:
161 G 1
162 G 1
163 S 0
164 H 3
165 G 1
166 G 1
167 S 0
168 H 3
169 G 1
170 C 2
171 S 0
172 G 1
173 S 0
174 G 1
175 S 0
176 C 2
177 G 1
178 G 1
179 S 0
180 S 0
181 S 0
182 H 3
183 S 0
184 S 0
185 S 0
186 S 0
187 G 1
188 S 0
189 S 0
190 G 1
191 S 0
192 S 0
193 S 0
194 G 1
195 G 1
196 G 1
197 C 2
198 G 1
199 G 1
200 G 1
121 G 1
122 G 1
123 H 3
124 S 0
125 S 0
126 S 0
127 S 0
128 S 0
129 S 0
130 S 0
131 G 1
132 G 1
133 C 2
134 S 0
135 G 1
136 G 1
137 S 0
138 G 1
139 G 1
140 G 1
141 G 1
142 S 0
143 S 0
144 G 1
145 S 0
146 S 0
147 G 1
148 H 3
149 S 0
150 G 1
151 G 1
152 S 0
153 S 0
154 C 2
155 S 0
156 S 0
157 S 0
158 S 0
159 G 1
160 G 1
1 H 3
2 G 1
3 S 0
4 C 2
5 H 3
6 G 1
7 G 1
8 G 1
9 G 1
10 G 1
11 C 2
12 S 0
13 G 1
14 G 1
15 S 0
16 C 2
17 H 3
18 S 0
19 S 0
20 S 0
21 G 1
22 S 0
23 G 1
24 S 0
25 G 1
26 S 0
27 S 0
28 G 1
29 C 2
30 G 1
31 G 1
32 G 1
33 C 2
34 H 3
35 H 3
36 S 0
37 H 3
38 G 1
39 G 1
40 G 1
41 C 2
42 G 1
43 S 0
44 G 1
45 H 3
46 G 1
47 H 3
48 H 3
49 C 2
50 S 0
51 S 0
52 S 0
53 S 0
54 H 3
55 C 2
56 C 2
57 S 0
58 G 1
59 G 1
60 H 3
61 S 0
62 S 0
63 G 1
64 S 0
65 S 0
66 H 3
67 G 1
68 C 2
69 H 3
70 G 1
71 S 0
72 G 1
73 G 1
74 S 0
75 G 1
76 G 1
77 C 2
78 H 3
79 S 0
80 S 0
81 G 1
82 G 1
83 G 1
84 S 0
85 S 0
86 S 0
87 H 3
88 S 0
89 G 1
90 H 3
91 G 1
92 H 3
93 S 0
94 G 1
95 S 0
96 H 3
97 S 0
98 G 1
99 H 3
100 G 1
101 C 2
102 H 3
103 H 3
104 G 1
105 G 1
106 C 2
107 G 1
108 S 0
109 S 0
110 C 2
111 S 0
112 S 0
113 S 0
114 G 1
115 S 0
116 H 3
117 G 1
118 S 0
119 S 0
120 G 1
6. ANALYSIS AND RESULT
As a result of the trial of tossing shagai 200 times, the distribution of each outcome is
determined. According to the data, whereas the probabilities of landing on sheep and goat are
both 0.385, the probabilities of landing on camel and horse are relatively low, 0.095 and
0.135, respectively.
Frequency Relative Frequency Percent
Sheep 77 0.385 39%
Goat 77 0.385 39%
Camel 19 0.095 10%
Horse 27 0.135 14%
For 5 times larger sample (tossing 1000 times), the distribution was slightly different. The
possibility of rolling a sheep is the highest 0.41 but the possibility of rolling a horse is only
0.09. It can be seen that distribution of rolling shagai is biased. Shagai is more likely to land
on sheep or goat comparing to the camel and horse. It is often believed that horse is lucky side
of shagai. Surprisingly, our data suggests that camel has lowest probability instead of horse.
7. PARAMETER ESTIMATION
We assumed the variable X is the sides of shagai. For example: X is equal to 0, when
shagai lands on its sheep side and so on (goat x=1, camel x=2, horse x=3). The probabilities
of four outcomes are discrete and completely independent. So we consider, the probability of
rolling sheep, goat, and camel is equal to a, b and c, respectively.
Since the sum of all probability must be zero, we can say that probability of rolling horse is 1-
a-b-c. Our distribution function has three unknown parameters and we can find them using
two different parameter estimation methods.
X 0 1 2 3
(Sheep) (Goat) (Camel) (Horse)
P(X) a b c 1-a-b-c
10. CONFIDENCE INTERVAL
In order to determine confidence interval, we used data from second trial. 50 probability
values are recorded on excel file. The mean and standard deviation value is calculated and
now we can find confidence interval.
Since n>30, following formula is used
Confidence interval for the average probability of rolling a sheep:
Trial number=n=50
Z-score =𝑧(𝛼/2) = 1.96 (95%)
[1.65 for 90%, 2.58 for 99%]
Sample mean = 𝑥̅ =0.4100
Sample standard deviation = s = 0.095298
(0.41) ± (1.96) × (0.095298) / (√50) = 0.4100 ± 0.0264
0.3836 ≤ 𝜇 ≤ 0.4364
11. CONCLUSION
The result of our experiment shows that distribution of shagai is biased and each
probability is completely independent. The probability of rolling sheep or goat always higher
than camel or horse.
Distribution function of shagai has three parameters a, b and c. Parameter estimation methods
like Method of moments and Maximum likelihood can be applied. As a result, three
parameters are calculated (a=b=0.385 c=0.095).
The confidence interval of any outcome can be calculated. As an example, the confidence
interval for the probability of rolling sheep was determined and it was suggested that average
probability of sheep in interval of 0.3836 ≤ 𝜇 ≤ 0.4364.