An evaluation of samsung's marketing strategy in bangladeshMehrab Al Islam
An internship report prepared for Business Administration Bachelors under Daffodil International University during my stay with Samsung mobile Bangladesh as one of the first SPC to work and help capture market
An evaluation of samsung's marketing strategy in bangladeshMehrab Al Islam
An internship report prepared for Business Administration Bachelors under Daffodil International University during my stay with Samsung mobile Bangladesh as one of the first SPC to work and help capture market
Analysis of HTC company : SWOT analysis , BCG matrix, Strategic analysis, Porter's Competitive Five Forces Model, Organizational Structure, Recommendation
Full report available in following link
http://jasimae.blogspot.com/2014/05/executive-summary-htc-transformed.html
This presentation tells about the microeconomic aspect of Samsung. The slides have information about Samsung structure, SWOT analysis, Sales analysis with competitors of 2018 to 2019, consumer preferences, Cost structure, Porter's five forces analysis, and Business strategies.
This presentation is about the 4th quarter earnings 2011 of Samsung Electronics. It contains the balance sheet, financial statement and compares it with the previous year/quarter. Also there are some key ratios calculated to give a better image about Samsung Electronics. I hope that this presentation can give you a better idea on where Samsung Electronics financially stand at the moment.
Analysis of HTC company : SWOT analysis , BCG matrix, Strategic analysis, Porter's Competitive Five Forces Model, Organizational Structure, Recommendation
Full report available in following link
http://jasimae.blogspot.com/2014/05/executive-summary-htc-transformed.html
This presentation tells about the microeconomic aspect of Samsung. The slides have information about Samsung structure, SWOT analysis, Sales analysis with competitors of 2018 to 2019, consumer preferences, Cost structure, Porter's five forces analysis, and Business strategies.
This presentation is about the 4th quarter earnings 2011 of Samsung Electronics. It contains the balance sheet, financial statement and compares it with the previous year/quarter. Also there are some key ratios calculated to give a better image about Samsung Electronics. I hope that this presentation can give you a better idea on where Samsung Electronics financially stand at the moment.
This is a Feasibility Study conducted by a group of students "The Incorporators" from Capitol University's Bachelor of Science In Business Administration major in Marketing Management and Human resource Management.
Note: This document is not available to download, sorry for the inconvenience.
حقائب اليد لا تزال أساسا المرأة المفضلة. على الرغم من أن الرجال قد يجدون أنفسهم
، وكثيرا ما يمكن رصدت مع حقائب الكتف الرياضية ، حقيبة اليد الكلاسيكية مع مقابض
قصيرة ، والحلي الزخرفية أو التلون واضح لا يزال بعيدا عن بعض خلفيات المشهد ، ولكن
هو المخصصة للنساء.
A Complete financial System for Mobile Phone distributors and Retailers. This software handles Inventory and accounts. Fully configured and integrated.
Presentation on Consumer Buying Behavior for a Smart Phone: A study on young...Sushanka Malakar
This is a research report on Consumer Buying Behavior for a Smart Phone:
A study on young generation in Kolkata
I am bba final year student and this is my final year project
I hope it can help you all
Thank you...
xAd, the leader in location-based mobile ads and long-time partner and call measurement provider Telmetrics, have partnered to release first-to-market Mobile Path-to-Purchase research studies conducted by The Nielsen Company. The studies dissect consumer mobile usage and purchase behavior related to the Travel, Restaurant, Auto, Retail, Insurance, Banking & Finance and Gas & Convenience industry verticals.
The results of these studies provide valuable insights into the mobile tools utilized in the process of research and decision, and strong mobile user intent to purchase. To access detailed findings from these studies, please fill out the form.
A survey (Marketing Research) of what customers want in a cell phone designdevan_kataria
This project gives insights on different featurs of interest to cell phone customers, what they seek in cell phones today, which features prompt them to purcahse cell phones the most, which are most significant and least significant featurs, the relationship among features and the features which impact overall satisfaction of customers.
Similar to Feasibility Study: Opening a Cell Phone Shop in PMU's Campus (20)
The secret way to sell pi coins effortlessly.DOT TECH
Well as we all know pi isn't launched yet. But you can still sell your pi coins effortlessly because some whales in China are interested in holding massive pi coins. And they are willing to pay good money for it. If you are interested in selling I will leave a contact for you. Just telegram this number below. I sold about 3000 pi coins to him and he paid me immediately.
Telegram: @Pi_vendor_247
how to sell pi coins on Bitmart crypto exchangeDOT TECH
Yes. Pi network coins can be exchanged but not on bitmart exchange. Because pi network is still in the enclosed mainnet. The only way pioneers are able to trade pi coins is by reselling the pi coins to pi verified merchants.
A verified merchant is someone who buys pi network coins and resell it to exchanges looking forward to hold till mainnet launch.
I will leave the telegram contact of my personal pi merchant to trade with.
@Pi_vendor_247
Even tho Pi network is not listed on any exchange yet.
Buying/Selling or investing in pi network coins is highly possible through the help of vendors. You can buy from vendors[ buy directly from the pi network miners and resell it]. I will leave the telegram contact of my personal vendor.
@Pi_vendor_247
Currently pi network is not tradable on binance or any other exchange because we are still in the enclosed mainnet.
Right now the only way to sell pi coins is by trading with a verified merchant.
What is a pi merchant?
A pi merchant is someone verified by pi network team and allowed to barter pi coins for goods and services.
Since pi network is not doing any pre-sale The only way exchanges like binance/huobi or crypto whales can get pi is by buying from miners. And a merchant stands in between the exchanges and the miners.
I will leave the telegram contact of my personal pi merchant. I and my friends has traded more than 6000pi coins successfully
Tele-gram
@Pi_vendor_247
Turin Startup Ecosystem 2024 - Ricerca sulle Startup e il Sistema dell'Innov...Quotidiano Piemontese
Turin Startup Ecosystem 2024
Una ricerca de il Club degli Investitori, in collaborazione con ToTeM Torino Tech Map e con il supporto della ESCP Business School e di Growth Capital
Poonawalla Fincorp and IndusInd Bank Introduce New Co-Branded Credit Cardnickysharmasucks
The unveiling of the IndusInd Bank Poonawalla Fincorp eLITE RuPay Platinum Credit Card marks a notable milestone in the Indian financial landscape, showcasing a successful partnership between two leading institutions, Poonawalla Fincorp and IndusInd Bank. This co-branded credit card not only offers users a plethora of benefits but also reflects a commitment to innovation and adaptation. With a focus on providing value-driven and customer-centric solutions, this launch represents more than just a new product—it signifies a step towards redefining the banking experience for millions. Promising convenience, rewards, and a touch of luxury in everyday financial transactions, this collaboration aims to cater to the evolving needs of customers and set new standards in the industry.
The Evolution of Non-Banking Financial Companies (NBFCs) in India: Challenges...beulahfernandes8
Role in Financial System
NBFCs are critical in bridging the financial inclusion gap.
They provide specialized financial services that cater to segments often neglected by traditional banks.
Economic Impact
NBFCs contribute significantly to India's GDP.
They support sectors like micro, small, and medium enterprises (MSMEs), housing finance, and personal loans.
how to sell pi coins in all Africa Countries.DOT TECH
Yes. You can sell your pi network for other cryptocurrencies like Bitcoin, usdt , Ethereum and other currencies And this is done easily with the help from a pi merchant.
What is a pi merchant ?
Since pi is not launched yet in any exchange. The only way you can sell right now is through merchants.
A verified Pi merchant is someone who buys pi network coins from miners and resell them to investors looking forward to hold massive quantities of pi coins before mainnet launch in 2026.
I will leave the telegram contact of my personal pi merchant to trade with.
@Pi_vendor_247
US Economic Outlook - Being Decided - M Capital Group August 2021.pdfpchutichetpong
The U.S. economy is continuing its impressive recovery from the COVID-19 pandemic and not slowing down despite re-occurring bumps. The U.S. savings rate reached its highest ever recorded level at 34% in April 2020 and Americans seem ready to spend. The sectors that had been hurt the most by the pandemic specifically reduced consumer spending, like retail, leisure, hospitality, and travel, are now experiencing massive growth in revenue and job openings.
Could this growth lead to a “Roaring Twenties”? As quickly as the U.S. economy contracted, experiencing a 9.1% drop in economic output relative to the business cycle in Q2 2020, the largest in recorded history, it has rebounded beyond expectations. This surprising growth seems to be fueled by the U.S. government’s aggressive fiscal and monetary policies, and an increase in consumer spending as mobility restrictions are lifted. Unemployment rates between June 2020 and June 2021 decreased by 5.2%, while the demand for labor is increasing, coupled with increasing wages to incentivize Americans to rejoin the labor force. Schools and businesses are expected to fully reopen soon. In parallel, vaccination rates across the country and the world continue to rise, with full vaccination rates of 50% and 14.8% respectively.
However, it is not completely smooth sailing from here. According to M Capital Group, the main risks that threaten the continued growth of the U.S. economy are inflation, unsettled trade relations, and another wave of Covid-19 mutations that could shut down the world again. Have we learned from the past year of COVID-19 and adapted our economy accordingly?
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While the economic indicators are positive, the risks are coming closer to manifesting and threatening such growth. The new variants spreading throughout the world, Delta, Lambda, and Gamma, are vaccine-resistant and muddy the predictions made about the economy and health of the country. These variants bring back the feeling of uncertainty that has wreaked havoc not only on the stock market but the mindset of people around the world. MCG provides unique insight on how to mitigate these risks to possibly ensure a bright economic future.
what is the future of Pi Network currency.DOT TECH
The future of the Pi cryptocurrency is uncertain, and its success will depend on several factors. Pi is a relatively new cryptocurrency that aims to be user-friendly and accessible to a wide audience. Here are a few key considerations for its future:
Message: @Pi_vendor_247 on telegram if u want to sell PI COINS.
1. Mainnet Launch: As of my last knowledge update in January 2022, Pi was still in the testnet phase. Its success will depend on a successful transition to a mainnet, where actual transactions can take place.
2. User Adoption: Pi's success will be closely tied to user adoption. The more users who join the network and actively participate, the stronger the ecosystem can become.
3. Utility and Use Cases: For a cryptocurrency to thrive, it must offer utility and practical use cases. The Pi team has talked about various applications, including peer-to-peer transactions, smart contracts, and more. The development and implementation of these features will be essential.
4. Regulatory Environment: The regulatory environment for cryptocurrencies is evolving globally. How Pi navigates and complies with regulations in various jurisdictions will significantly impact its future.
5. Technology Development: The Pi network must continue to develop and improve its technology, security, and scalability to compete with established cryptocurrencies.
6. Community Engagement: The Pi community plays a critical role in its future. Engaged users can help build trust and grow the network.
7. Monetization and Sustainability: The Pi team's monetization strategy, such as fees, partnerships, or other revenue sources, will affect its long-term sustainability.
It's essential to approach Pi or any new cryptocurrency with caution and conduct due diligence. Cryptocurrency investments involve risks, and potential rewards can be uncertain. The success and future of Pi will depend on the collective efforts of its team, community, and the broader cryptocurrency market dynamics. It's advisable to stay updated on Pi's development and follow any updates from the official Pi Network website or announcements from the team.
Empowering the Unbanked: The Vital Role of NBFCs in Promoting Financial Inclu...Vighnesh Shashtri
In India, financial inclusion remains a critical challenge, with a significant portion of the population still unbanked. Non-Banking Financial Companies (NBFCs) have emerged as key players in bridging this gap by providing financial services to those often overlooked by traditional banking institutions. This article delves into how NBFCs are fostering financial inclusion and empowering the unbanked.
Feasibility Study: Opening a Cell Phone Shop in PMU's Campus
1. Math
1313: Statistical Methods
Dr. Mohammed Al-Najjar
Fall 2012
Statistical Methods Course Project
Name: Ahmed Abdullah Aljabr
Section: 101
ID#: 201001926
Date: 29/12/2012
1
2. I-Introduction:
Introduction
Since the beginning of the new millennium, cellular phones are considered the new trend in technologies. Some
people consider them to be supplementary. On the other hand, with the rapid growth of globalization and the
world-wide operations within most corporations, it’s considered indispensable. In Saudi Arabia, many people
tend to buy the last cellular phone in market, just to stay up-to-date with technology. Generally, as it has been
observed, youth in Saudi Arabia are obsessed with cellular phones. Therefore, it’s an ideal opportunity to open a
cellular phones shop, if an accurate study was conducted for this matter.
Purpose of the Study
The aim of this research is to study the feasibility of opening a cellular phones shop in Prince Mohammed Bin
Fahad University. It will focus on many aspects including students’ purchasing desire, the type of cellular
phones mostly preferred, and the amount students are willing to pay. Collectively, these main aspects will
determine the possibility of opening the shop.
Methodology
Data collection
A questionnaire was distributed to a sample of students in PMU using “Systematic Sampling.” It’s a method of
selecting sample members from a larger population according to a random starting point and a fixed periodic
interval. In this case, 60 students was the target sample and the fixed interval was 5 students.
Questionnaire
Data will be collected by administering open-ended and close-ended questions for the sample. However, to
ensure that the study does not lose focus, structured questionnaire will be necessary. Questions asked will
include:
Which cellular phone brand do you prefer to use?
………………………………………
2
3. What is the most important feature you are looking forin a cellular phone?
………………………………………
What reputation do you have for Apple’s smartphones?
-Excellent
-Good
-Mediocre
-Bad
What reputation do you have for Samsung’s smartphones?
-Excellent
-Good
-Mediocre
-Bad
What reputation do you have for Nokia’s smartphones?
-Excellent
-Good
-Mediocre
-Bad
What reputation do you have for Blackberry’s smartphones?
-Excellent
-Good
-Mediocre
-Bad
How many cellular phones do you have?
-Zero
-One
-Two
-More (…….)
How many cellular phones have you bought last year?
-Zero
-One
-Two
-More (…….)
How many minutes do you spend using your cellphone every day?
………………………………
How much have you paid for your last cellular phone?
………………………………
Data analysis
After the data is collected, it will be displayed using all descriptive statistics tools, such as tables, graphs,
measures of center and variation, and relationship between different variables. Furthermore, all possible
inferential statistics tools will be presented, including estimations, testing of hypothesis, and finally a regression
model. Every outcome will be discussed and further analyzed in order to reach a conclusion.
3
4. II-Tables:
[Nominal]Which cellphone brand do you prefer to use?
Row Labels
Frequency
Relative Frequency
Apple
20
33.33%
Blackberry
23
38.33%
Nokia
5
8.33%
Other
1
1.67%
Samsung
11
18.33%
Grand Total
60
100.00%
Comments:
71.6% of the people in this sample preferred Blackberry and Apple.Samsung is preferred by half as many as
people who prefer Blackberry.Less than 2% of the people in this sample use brands other than the ones
specified in this survey. This is a clear indication that the market is being controlled by these big four brands.
[Ordinal]What kind of reputation do you have of Apple’s smartphones?
Relative
Cumulative
Relative Cumulative
Evaluation
Frequency
Frequency
Frequency
Frequency
Bad
1
1.67%
1
1.67%
Mediocre
3
5.00%
4
6.67%
Good
25
41.67%
29
48.33%
Excellent
31
51.67%
60
100.00%
Grand Total
60
100.00%
-
-
Comments:
The majority of the people in this sample have an excellent reputation for Apple’s smartphones. 6.67% of the
sample has a mediocre reputation for Apple’s smartphones or worse. Only 1 person had a bad reputation of
Apple’s smartphones. More than half the sample had an excellent reputation for Apple’s smartphones.
4
5. [Discrete]How many cellular phones have you bought last year?
Relative
Cumulative
Relative Cumulative
Number
Frequency
Frequency
Frequency
Frequency
0
3
5.00%
3
5.00%
1
30
50.00%
33
55.00%
2
20
33.33%
53
88.33%
more
7
11.67%
60
100.00%
Grand Total
60
100.00%
Comments:
50% of the sample bought only 1 cellular phone last year. 33.33% of the sample bought 2 cellular phones last
year which is relatively high. Only 3 people in this sample never bought a cellular phone last year, which is low.
[Continuous]How much have you paid for your last cellular phone?
Relative
Cumulative
Relative Cumulative
Range in S.R
Frequency
Frequency
Frequency
Frequency
0 - 500
5
8.33%
5
8.33%
500 - 1000
8
13.33%
13
21.67%
1000 - 1500
9
15.00%
22
36.67%
1500 - 2000
16
26.67%
38
63.33%
2000 - 2500
11
18.33%
49
81.67%
2500 - 3000
10
16.67%
59
98.33%
3000+
1
1.67%
60
100.00%
Grand Total
60
100.00%
Comments:
Only 1.67% of the sample bought a cellular phone for more than S.R 3000. Nearly one quarter of the sample, or
the majority of people in the sample, bought a cellular phone for a price between 1500 and 2000.There are 5
people in the sample who bought a cellular phone for S.R 500 or less. Students are willing to pay high prices.
5
6. III- Graphs:
[Nominal]Which cellphone brand do you prefer to use?
Preferred Cellular Phone
18%
2%
Apple
34%
Blackberry
8%
Nokia
Other
Samsung
38%
Comments:
More than two thirds of the people in the sample preferred Apple’s and Blackberry’s smartphones. Only a small
proportion preferred other brands than the big four brands. Nokia is preferred by 8% of the sample, which
makes it the least favorable among the big four brands in the market.
[Ordinal]What kind of reputation do you have of Apple’s smartphones?
Apple Reputation
35
31
30
25
25
20
Total
15
10
5
1
3
0
Bad
Medicore
Good
6
Excellent
7. Comments:
The majority of the sample has an excellent reputation of Apple’s smartphones. Only one person had a bad
reputation, which is nothing compared to the sample size. Also, only 4 people have a mediocre reputation or
less for Apple’s smartphones.
[Discrete]How many cellular phones have you bought last year?
Number of Cellular Phones Bought
Last Year
7
3
0
1
2
20
30
more
Comment:
Half the people in the sample bought at least one cellular phone last year. Only 3 people did not buy any cellular
phones last year. One third of the sample bought two cellular phones last year. 50 student bought at least 1
cellular phones last year, which is a good sign for business.
7
8. [Continuous]How much have you paid for your last cellular phone?
Frequency
Amount paid for last cellular phone
18
16
14
12
10
8
6
4
2
0
16
11
8
9
10
5
Frequency
1
250
750
1250
1750
2250
2750
More
S.R
Comments:
10 people bought a cellular phone for a value around S.R 2750. Only 1 person in the sample bought a cellular
phone for a value higher than S.R 2750. Most of the people in the sample bought a cellular phone for a value
around S.R 1750.
8
9. IV- Measures of Center:
[Nominal] What is the most important feature you are looking for in a cellular phone?
Measure of center
Value
Mode
Applications
Comments:
The most frequent answer to this question was “Applications”. Thus, it is the Mode for this question.
Also, it is the preferred feature for the most of the people in the sample. Applications are important thus
this mode makes sense.
[Ordinal] What kind of reputation do you have of Samsung’s smartphones?
Measure of center
Value
Mode
Good
Comments:
The most frequent answer to this question was “Good”. Thus, it is the Mode for this question.
Also, it is the dominant reputation to most of the people in the sample.Samsung’s smartphones should be
popular.
[Discrete] How many cellular phones have you bought last year?
Measure of Centre
Arithmetic Mean
Geometric Mean
Median
Mode
Value
1.76666
1.55557
1.5
1
Comments:
The most frequent answer to this question was “1”. The middle value for the number of cellular phones
bought last year is equal to 1.5. The average number of cellular phones bought last year is 1.55 cellular
phones. The more accurate average is 1.76 cellular phones.
9
10. [Continuous] How much have you paid for your last cellular phone?
Measure of Centre
Value
Geometric Mean
1501.24
Arithmetic Mean
1845.25
Median
1800
Mode
1800
Comments:
The most frequent answer to this question was S.R 1800. The middle number was also S.R 1800. The average
amount paid for last cellular phone is S.R 1845.25. The more accurate average amount is S.R 1501.24. Many
new cellular phones prices are around these measures, which is good for business.
10
11. V- Measures of Dispersion:
[Discrete] How many cellular phones have you bought last year?
Measure of Variation
Value
Standard Deviation
0.9806
Sample Variance
0.9615
Range
4
Inter-Quartile Range
1
Co-efficient of Variation
55.50%
Comments:
The Arithmetic Mean to this question is (1.76). We calculated our Standard Deviation and it’s to equal
(±0.9806). The Range in the answer for this question is (4) which is the difference between the highest value
and the lowest. The Inter-Quartile Range is (1), which is the length between the second quarter and the third
quarter.
[Continuous] How much have you paid for your last cellular phone?
Measure of Variation
Value
Standard Deviation
1054.52
Sample Variance
1112019.85
Range
7450
Inter-Quartile Range
1250
Co-efficient of Variation
102%
Comment:
The Arithmetic Mean to this question is (S.R 1845.25). We calculated our Standard Deviation and it’s to equal
(± 0.9806) The Range in the answer for this question is (7450) which is the difference between the highest value
and the lowest. The Inter-Quartile Range is (1250), which is the length between the second quarter and the third
quarter.
11
12. VI-Relationship between Two Variables:
[Nominal] Contingency table showing the relationship between: Cellular phone brand (row),
Important feature (column)
Fast
Brand / Feature
4G
Applications
Grand
Camera Processor
Other
Total
Apple
50.00%
35.00%
0.00%
10.00%
5.00%
100.00%
Blackberry
13.04%
34.78%
4.35%
43.48%
4.35%
100.00%
Nokia
0.00%
0.00%
20.00%
80.00%
0.00%
100.00%
Other
0.00%
100.00%
0.00%
0.00%
0.00%
100.00%
Samsung
27.27%
45.45%
0.00%
27.27%
0.00%
100.00%
Grand Total
26.67%
35.00%
3.33%
31.67%
3.33%
100.00%
Comments:
50% of the people who preferred Apple’s smartphone chose the “4G” as their most important feature in a
cellular phone. 80% of the people who preferred Nokia’s smartphones chose the “Fast Processor” as their most
important feature, this means that Nokia’s smartphones have fast processors. 45.45% the people who preferred
Samsung’s smartphones chose the “Application” as their most important feature.
[Ordinal] Contingency table showing the relationship between: Nokia’s reputation (row),
Blackberry’s reputation (column)
Nokia/Blackberry
Bad
Bad
Good
Excellent Medicore Poor
Grand Total
40.00%
0.00%
40.00%
0.00%
20.00%
100.00%
0.00%
11.11%
44.44%
44.44%
0.00%
100.00%
Excellent
14.29%
42.86%
14.29%
28.57%
0.00%
100.00%
Mediocre
5.00%
50.00%
20.00%
15.00%
10.00%
100.00%
Poor
0.00%
10.53%
10.53%
63.16%
15.79%
100.00%
Grand Total
6.67% 26.67%
21.67%
35.00% 10.00%
100.00%
Good
Comments:
40% of the sample who has a “Bad” reputation for Nokia’s smartphones also has a “Bad” reputation for
Blackberry’s smartphones. 20% of the sample who has a “Mediocre” reputation for Nokia’s smartphones has an
“Excellent” reputation for Blackberry’s smartphones.
12
13. [Discrete] Contingency table showing the relationship between: Current cellular phones (row),
Number of cellular phones bought last year (column)
Current Cell/Bought Cell
0
1
2 More
Grand Total
One Cellular Phone
6.25%
53.13%
34.38%
6.25%
100.00%
Two Cellular Phones
3.57%
46.43%
32.14%
17.86%
100.00%
Grand Total
4.55% 48.86% 32.95% 13.64%
100.00%
Comments:
6.25% of the people who have one cellular phone never bought a cellular phone last year. 32.14% of the people
who have two cellular phones bought two cellular phones last year. This implies that people who have two
cellular phones are buying more than people who don’t, which means a big market for investors.
Correlation Co-Efficient:
Cell No.
Cell Bought
1
Cell No.
0.15458795
Cell Bought
1
Comments:
There is a weak positive relationship (15.45%) between the number of cellular phones bought last year by the
people in the sample and their current number of cellular phones.
[Continuous] Correlation Co-Efficient:
Daily time (min)
Daily time (min)
SAR last cell
100.00%
-2.22%
SAR last cell
100.00%
Comments:
There is no relationship between the daily minutes spent on the cellular phones by the people in the sample and
the amount they have paid for their last cellular phone.
13
14. VII-Estimation:
[Nominal] What feature you are looking for the most in a cellular phone? (Reply: Applications)
p
x
n
[p = percentage of successes | x
number of successes | n
sample size]
Given x= 21 | n= 60] Therefore, p = 0.35
Let
[p
z
/2
= 0.05, Therefore we have a (1-0.05= 95%) Confidence Interval
(1
n
)
, p
z
(1
/2
)
n
]
After applying the formula above we get the interval [33.44%-36.55%]
Comments:
We are 95% confident that the population’s proportion (π) that prefers“Applications” in cellular phones
is between [33.44%-36.55%]. This means that “Applications” are very important to most people.
[Ordinal] What kind of reputation do you have for Samsung’s smartphones? (Reply: Good)
p
x
n
[p = percentage of successes | x
number of successes | n
sample size]
Given x= 29 | n= 60] Therefore, p = 0.4833
Let
[p
z
/2
= 0.05, Therefore we have a (1-0.05= 95%) Confidence Interval
(1
n
)
, p
z
(1
/2
)
n
]
After applying the formula above we get the interval [35.68%-60.97%]
Comments:
We are 95% confident that the population’s proportion (π) that has a “Good” reputation of Samsung’s
smartphones phones is between [35.68%-60.97%]. This implies an overall good reputation for Samsung.
14
15. [Discrete]How many cellular phones have you bought last year?
Let
= 0.05 [Given
(
t
/2
S
n
,
t
= 1.58, S= 0.94, n= 60, Critical t= 2.04]
/2
S
n
)
After applying the formula above we get the interval [1.33 - 1.83]
Comments:
We are 95% confident that the population’s mean (µ) of the number of cellular phones bought last year
per person is between [1.33 - 1.83 cellular phones]. This infers that people are buying at least one
cellular phone per year, which is very good for business.
[Continuous]How much have you paid for your last cellular phone?
Let
= 0.05 [Given
(
t
/2
S
n
,
t
=1845.45, S= 1054.52, n= 60, Critical t= 2.04]
/2
S
n
)
After applying the formula above we get the interval [1567.528 – 2122.973]
Comments:
We are 95% confident that the population’s mean (µ) of the amount paid for the last cellular phone is
between [S.R 1567.528 – S.R 2122.973]. This indicates that many people are willing to pay a high price
which falls with that range for a cellular phone.
15
16. VIII-Testing of Hypothesis:
First: 1-Proportion z-test:
[Nominal] What is the most important feature you are looking for in a cellular phone?
(35% of the sample replied “Applications”)
Null Hypothesis: the population’s proportion that prefers applications in cellular phones is equal to 55%.
-Down below is the null hypothesis (H0) and the alternative hypothesis (H1)
H0: π=0.55 , H1: π≠0.55
-To test our alternative hypothesis, we apply a 1-proportion z-test:
-Given
= 0.05 , P=0.35 , n=60
Z-Test:
-From the Z-Test above,Observed Z = -3.114
-Critical Values Z
/2=
± 1.96
Comments:
-Since the Observed Z is within the rejection region, we reject it.
-There is sufficient evidence to support our claim that the population’s proportion that prefers applications in
cellular phones is not equal to 55%.
[Ordinal] What kind of reputation do you have of Samsung’s smartphones?
(48.33% of the sample replied “Good”)
Null Hypothesis: the population’s proportion that considers Samsung’s smartphones as “Good” is equal to
40%.
-Down below is the null hypothesis (H0) and the alternative hypothesis (H1)
H0: π=0.40, H1: π≠0.40
16
17. -To test our alternative hypothesis, we apply a 1-proportion z-test:
-Given
= 0.05 , P=0.4833 , n=60
Z-Test:
-From the Z-Test: Observed Z = -1.317
-Critical Values Z
/2=
± 1.96 (when
= 0.05)
Comments:
-Since the Observed Z is in not the rejection region, we don’t reject it.
-There is insufficient evidence to support our claim that the population’s proportion that considers Samsung’s
smartphones as “Good” is not equal to 40%.
Second: 2-Proportion z-test:
[Ordinal] What kind of reputation do you have for Samsung’s smartphones?
(48.33% of the sample replied “Good”)
[Ordinal] What kind of reputation do you have forApple’s smartphones?
(41.66% of the sample replied “Good”)
Null Hypothesis: the population’s proportion that believes Samsung smartphones is “Good” is equal to the
population’s proportion that believes Apple’s smartphones is “Good.”
-Down below is the null hypothesis (H0) and the alternative hypothesis (H1)
H0: π1= π2, H1: π1≠π2
-To test our alternative hypothesis, we apply a 2-proportion z-test:
-Given
= 0.05, P1=0.4833 ,P2=0.4166 , n1=60, n2=60, D0= 0, Ṕ = 0.45
17
18. -From the Z-Test: Observed Z = 9.9075
-Critical Values Z
/2=
± 1.96 (when
= 0.05)
Comments:
-Since the Observed Z is within the rejection region, we reject it.
-There is sufficient evidence to support our claim that the population’s proportion that believes Samsung
smartphones is “Good” is not equal to the population’s proportion that believes Apple’s smartphones is “Good.”
Third: 1-Sample t-test:
[Discrete]How many cellular phones have you bought last year?
Null Hypothesis: the population’s mean for the number of cellular phones bought last year is equal to 2 cellular
phones.
-Down below is the null hypothesis (H0) and the researcher hypothesis (H1)
H0: µ=2, H1: µ ≠2
-To test our alternative hypothesis, we apply a 1-sample t-test:
-Given
= 0.05 ,
=1.76666, n=60, S= 0.9806, µ0= 2
t
X
S
0
n
-From the t-test above: Observed T = -1.8436
-Critical Values T /2= ± 2.04 (when
= 0.05)
Comments:
-Since the Observed T is in not the rejection region, we don’t reject it.
18
19. -There is insufficient evidence to support our claim that the population’s mean for the number of cellular
phones bought last year is not equal to 2 cellular phones.
Fourth: 2-Sample t-test:
[Nominal] Which cellphone brand do you prefer to use?
(20 replied “Apple”, 23 replied “Blackberry”)
[Continuous]How much have you paid for your last cellular phone?
1:
the mean for the people who replied “Apple” = 1926.5
2:
the mean for the people who replied “Blackberry” = 1951.52
Null Hypothesis:the average amount paid for last cellular phone by people who prefer “Apple” is equal to the
average amount paid for last cellular phone by people who prefer “Blackberry.”
-Down below is the null hypothesis (H0) and the researcher hypothesis (H1)
H0: µ1=µ2, H1:µ1≠µ2
-To test our alternative hypothesis, we apply a 2-sample t-test:
-Given
= 0.05 ,
1=1926.5,
2= 1951.52,
n1=20, n2=23,S1= 832.58, ,S2= 1316.79
X1 X 2
t
2
S12 S 2
n1
n2
-From the t-test above: Observed T = -0.07541
-Critical Values T /2= ± 2.04 (when
= 0.05)
Comments:
-Since the Observed T is in not the rejection region, we don’t reject it.
-There is insufficient evidence to support our claim that the average amount paid for last cellular phone by
people who prefer “Apple” is not equal to the average amount paid for last cellular phone by people who prefer
“Blackberry.”
19
20. Fifth: One-Way ANOVA:
[Nominal] Which cellphone brand do you prefer to use?
(20 replied “Apple”, 23 replied “Blackberry”, 5 replied “Nokia”)
[Continuous] How many minutes do you spend using your cellphone every day?
1:
the mean for the people who replied “Apple” = 198.75
2:
the mean for the people who replied “Blackberry” = 266.087
3:
the mean for the people who replied “Nokia” = 168
Null Hypothesis:the average minutes spent on cellular phones by people who prefer “Apple”, “Blackberry”,
and “Nokia” are equal.
-Down below is the null hypothesis (H0) and the researcher hypothesis (H1)
H0: µ1=µ2=µ3, H1:the average minutes spent on cellular phones by people who prefer “Apple”,
“Blackberry”, and “Nokia” are not equal.
-To test our alternative hypothesis, we apply a one-way ANOVA test:
SST
F
SSE
K 1
n K
-From the t-test above: Observed F = 0.5935
-Critical Values F= 3.2043 (when
= 0.05)
Comments:
-Since the Observed F is in not the rejection region, we don’t reject it.
-There is insufficient evidence to support our claim that the average minutes spent on cellular phones by people
who prefer “Apple”, “Blackberry”, and “Nokia” are not equal.
20
21. IX- Regression:
From the survey’s data, 1 dependent data was chosen and 2 independent as well:
Dependent:How many minutes do you spend using your cellphone every day? [Continuous]
Independent: - How many cellular phones have you bought last year? [Discrete]
- How many cellular phones do youhave? [Discrete]
From these questions, the following things can be obtained:
R Square= 0.6619
A Regression Model:
Daily minutes=
796.94*(Current number of cellular phones) + 323.01*(Cellular phones bought last year) + e
Comment:
66.19% of variability in “Daily minutes” is explained by “Current number of cellular phones” and
“Cellular phones bought last year”.
21
22. X- Conclusion:
To conclude, the research’s outcomes met the expectations. Clearly, cellular phones businesses yield high
returns, especially in Saudi Arabia. Most of the students in PMU are willing to buy cellular phones every
year for a relatively high price. Many results indicate that students’ purchasing desire is high; they most
likely would be dependable customers for this shop. The shop must have sufficient supplies of the big four
cellular phones brands in order to satisfy the demand, yet in different quantities. In short, opening a cellular
phones shop in PMU would be a great investment.
22