This document describes a research study that examined factors influencing university students' consumption of energy drinks in Dhaka, Bangladesh. The study used surveys to collect data on 200 students' demographic characteristics, purchasing behaviors, health consciousness, and perceptions of energy drink attributes. Statistical analyses including chi-square tests, factor analysis, and regression analysis were used to understand relationships between gender, purchasing patterns, advertising preferences, consumption frequency, and health attitudes. The results identified taste, caffeine content, social aspects, refreshment, and brand loyalty as key influences on students' energy drink consumption.
This document provides a summary of analyses conducted on a secondary dataset about alcohol consumption among UK secondary school students. Descriptive statistics show that the average age was 13, with roughly equal proportions of boys and girls. 43% reported ever drinking alcohol. Hypothesis testing found the proportion who drank was less than the reported UK rate of 45%. Chi-square analysis revealed a weak association between peer pressure and drinking frequency. Correlation found a weak negative relationship between family attitude toward drinking and student drinking frequency. The document describes and interprets the results of these analyses to understand patterns of underage alcohol use.
This document summarizes a study on factors influencing green purchase intentions among Pakistani consumers. The study found that organizational green image, environmental concern, environmental knowledge, and perceived product price and quality positively influence consumers' green purchase intentions. It also found that perceived product price and quality moderate the effects of organizational green image, environmental concern, and environmental knowledge on purchase intentions. The study utilized a survey of 377 Pakistani university students and established several hypotheses about the relationships between variables that were all supported by the results. However, it notes limitations including the sample only representing students and not measuring actual purchasing behavior.
This document provides a 30-question multiple choice exam guide for QNT 351. It covers topics in descriptive statistics including levels of measurement, measures of central tendency, probability distributions, and the normal distribution. Sample questions test understanding of key statistical concepts like mean, median, mode, standard deviation, probability, and hypothesis testing. The document aims to help students prepare for their QNT 351 final exam through practice questions and explanations of statistical reasoning.
QNT 351 PAPER Achievement Education--qnt351paper.comagathachristie196
This document provides a 30-question multiple choice exam guide for a statistics course (QNT 351). It covers topics like descriptive statistics, levels of measurement, measures of central tendency, probability distributions, the normal distribution, and hypothesis testing. The questions test understanding of key statistical concepts and calculations.
Research Methodology for nursing students: data analysisHelmy Haz
The document provides an overview of common statistical tests used in data analysis, including chi-square tests, independent and paired t-tests, and correlation analysis. It explains the assumptions, steps, and interpretation of p-values for each test. Examples are given for how to perform the tests in SPSS and present the results in a table. Key concepts covered include p-values, type I and type II errors, null and alternative hypotheses, and how statistical significance is determined.
QNT 351 PAPER Education for Service--qnt351paper.commamata53
This document provides a guide for the QNT 351 final exam, including 30 multiple choice questions covering topics in descriptive statistics, probability distributions, sampling, measures of central tendency, and hypothesis testing. It also provides the answers to the questions.
Nowadays Scientists using laboratory animals are under increasing pressure to justify their sample sizes using a ‘‘power analysis’’ to improve study reproducibility and from ethical point of view too.
In this presentation, I review the three methods currently used to determine sample size: ‘‘tradition’’ or ‘‘common sense’’, the ‘‘resource equation’’ and the ‘‘power analysis’’.
This document provides a guide for a QNT 351 final exam, including 31 multiple choice questions covering topics in statistics such as hypothesis testing, probability, distributions, and sampling. The questions assess understanding of key statistical concepts and calculations related to analyzing sample data and drawing conclusions about populations.
This document provides a summary of analyses conducted on a secondary dataset about alcohol consumption among UK secondary school students. Descriptive statistics show that the average age was 13, with roughly equal proportions of boys and girls. 43% reported ever drinking alcohol. Hypothesis testing found the proportion who drank was less than the reported UK rate of 45%. Chi-square analysis revealed a weak association between peer pressure and drinking frequency. Correlation found a weak negative relationship between family attitude toward drinking and student drinking frequency. The document describes and interprets the results of these analyses to understand patterns of underage alcohol use.
This document summarizes a study on factors influencing green purchase intentions among Pakistani consumers. The study found that organizational green image, environmental concern, environmental knowledge, and perceived product price and quality positively influence consumers' green purchase intentions. It also found that perceived product price and quality moderate the effects of organizational green image, environmental concern, and environmental knowledge on purchase intentions. The study utilized a survey of 377 Pakistani university students and established several hypotheses about the relationships between variables that were all supported by the results. However, it notes limitations including the sample only representing students and not measuring actual purchasing behavior.
This document provides a 30-question multiple choice exam guide for QNT 351. It covers topics in descriptive statistics including levels of measurement, measures of central tendency, probability distributions, and the normal distribution. Sample questions test understanding of key statistical concepts like mean, median, mode, standard deviation, probability, and hypothesis testing. The document aims to help students prepare for their QNT 351 final exam through practice questions and explanations of statistical reasoning.
QNT 351 PAPER Achievement Education--qnt351paper.comagathachristie196
This document provides a 30-question multiple choice exam guide for a statistics course (QNT 351). It covers topics like descriptive statistics, levels of measurement, measures of central tendency, probability distributions, the normal distribution, and hypothesis testing. The questions test understanding of key statistical concepts and calculations.
Research Methodology for nursing students: data analysisHelmy Haz
The document provides an overview of common statistical tests used in data analysis, including chi-square tests, independent and paired t-tests, and correlation analysis. It explains the assumptions, steps, and interpretation of p-values for each test. Examples are given for how to perform the tests in SPSS and present the results in a table. Key concepts covered include p-values, type I and type II errors, null and alternative hypotheses, and how statistical significance is determined.
QNT 351 PAPER Education for Service--qnt351paper.commamata53
This document provides a guide for the QNT 351 final exam, including 30 multiple choice questions covering topics in descriptive statistics, probability distributions, sampling, measures of central tendency, and hypothesis testing. It also provides the answers to the questions.
Nowadays Scientists using laboratory animals are under increasing pressure to justify their sample sizes using a ‘‘power analysis’’ to improve study reproducibility and from ethical point of view too.
In this presentation, I review the three methods currently used to determine sample size: ‘‘tradition’’ or ‘‘common sense’’, the ‘‘resource equation’’ and the ‘‘power analysis’’.
This document provides a guide for a QNT 351 final exam, including 31 multiple choice questions covering topics in statistics such as hypothesis testing, probability, distributions, and sampling. The questions assess understanding of key statistical concepts and calculations related to analyzing sample data and drawing conclusions about populations.
This document presents research on factors influencing university students' consumption of energy drinks in Dhaka, Bangladesh. The research found that taste, brand, caffeine, feeling refreshed, and brand loyalty were positively correlated with students' purchase intentions and self-satisfaction regarding energy drinks. Most students preferred the brand Speed and consumed drinks occasionally or monthly rather than daily, and daily consumers reported being less health conscious. The research aims to identify purchase factors for energy drinks and inform future studies on university student consumption.
The document discusses a study on consumer preferences and behaviors regarding soft drinks. It includes sections on research methodology, data analysis, and conclusions. Some key findings are:
1) Younger consumers prefer carbonated drinks while older consumers and service workers prefer juices and milk products.
2) Brand name is the primary factor influencing product selection, followed by taste.
3) Consumers ages 15-25 have the highest preference for carbonated drinks.
Gender, occupation, and age were found to have a dependent relationship with drink selection. The study provides insights into consumer preferences and marketing strategies for soft drinks.
Qnt 351 final exam new april 2016 versionAdams-ASs
QNT 351 FINAL EXAM NEW APRIL 2016 VERSION
Buy Solutions: http://hwsoloutions.com/downloads/qnt-351-final-exam-new-april-2016-version/
QNT 351 FINAL EXAM
NEW APRIL 2016 VERSION
A time series trend equation for Hammer Hardware is Y’ = 5.6 + 1.2t, where sales are in millions of dollars and t increases by one unit for each year. If the value of sales in the base year of 2016 is $5.6 million, what would be the estimated sales amount for 2018?
$8 million
$6.8 million
Unable to determine from given information
$5.6 million
A weight-loss company wants to statistically prove that its methods work. They randomly selected 10 clients who had been on the weight loss program for between 55 and 65 days. They looked at their beginning weights and their current weight. The statistical test they should utilize is:
t test for difference in paired samples
z test for two population proportions
Podium Presentation Midwest Social and Administrative Conference,Chicago,2008aramasa3
The document describes a study that developed and tested a survey instrument to measure patient satisfaction with pharmacy services among HIV-infected patients receiving care from either a mail-order or community pharmacy. Exploratory factor analysis established the construct validity of the survey and showed two key factors. Reliability testing found high internal consistency. The survey can be used to compare patient satisfaction across different pharmacy settings and inform efforts to improve patient-reported outcomes.
QNT 275 FINAL EXAM NEW 2016
Buy Solutions: http://hwsoloutions.com/downloads/qnt-275-final-exam-new-2016/
What is the name of the variable that’s used to predict another variable?
Explanatory
Standard error of the estimate
Response
Coefficient of determination
Professors at a local university earn an average salary of $80000 with a standard deviation of $6000. The salary distribution is approximately bell-shaped. What can be said about the percentage of salaries that are at least $74,000?
About 97.5 percent
About 84 percent
About 68 percent
About 95 percent
What type of relationship is indicated in the scatterplot?
A positive linear or curvilinear relationship
No relationship
A negative curvilinear relationship
A negative linear relationship
The study of statistics can be defined as:
the art and science of getting information from data.
All of the answers
the language of data.
the study of collecting, analyzing, presenting, and interpreting data.
In the accompanying stem-and-leaf diagram the values in the stem and leaf portions represent 10s and 1s digits, respectively.
The stem-and-leaf diagram shows that the distribution is ___________.
symmetric
positively skewed
negatively skewed
None of the ans
Lane – Ch. 142. The formula for a regression equation is Y’ = .docxsmile790243
Lane – Ch. 14
2. The formula for a regression equation is Y’ = 2X + 9.
a. What would be the predicted score for a person scoring 6 on X?
b. If someone’s predicted score was 14, what was this person’s score on X?
6. For the X,Y data below, compute:
a. r and determine if it is significantly different from zero.
b. the slope of the regression line and test if it differs significantly from zero.
c. the 95% confidence interval for the slope.
X
Y
4
6
3
7
5
12
11
17
10
9
14
21
Lane – Ch. 17
5. At a school pep rally, a group of sophomore students organized a free raffle for
prizes. They claim that they put the names of all of the students in the school in
the basket and that they randomly drew 36 names out of this basket. Of the prize
winners, 6 were freshmen, 14 were sophomores, 9 were juniors, and 7 were
seniors. The results do not seem that random to you. You think it is a little fishy
that sophomores organized the raffle and also won the most prizes. Your school is
composed of 30% freshmen, 25% sophomores, 25% juniors, and 20% seniors.
a. What are the expected frequencies of winners from each class?
b. Conduct a significance test to determine whether the winners of the prizes
were distributed throughout the classes as would be expected based on the
percentage of students in each group. Report your Chi Square and p values.
c. What do you conclude?
14. A geologist collects hand-specimen sized pieces of limestone from a particular
area. A qualitative assessment of both texture and color is made with the
following results. Is there evidence of association between color and texture for
theselimestones? Explain your answer.
COLOR
COLOR
COLOR
Texture
Light
Medium
Dark
Fine
4
20
8
Medium
5
23
12
Coarse
21
23
4
Illowsky – Ch. 11
True or False
70. The standard deviation of the chi-square distribution is twice the mean.
102.Do men and women select different breakfasts? The breakfasts ordered by randomly selected men and women at apopular breakfast place is shown inTable 11.55. Conduct a test for homogeneity at a 5% level of significance.
French Toast
Pancakes
Waffles
Omelettes
Men
47
35
28
53
Women
65
59
55
60
Use the following information to answer the next twelve exercises:Suppose an airline claims that its flights are consistentlyon time with an average delay of at most 15 minutes. It claims that the average delay is so consistent that the variance is nomore than 150 minutes. Doubting the consistency part of the claim, a disgruntled traveler calculates the delays for his next25 flights. The average delay for those 25 flights is 22 minutes with a standard deviation of 15 minutes.
113.df= _______
117. Let a = 0.05
Decision: _______
Conclusion (write out in a complete sentence): _________
The Regress ...
Descriptive Data and InterpretaDependent VariableIndependent Varia.docxtheodorelove43763
Descriptive Data and InterpretaDependent VariableIndependent VariableFrequency of drinking coffeeType of Customer ExperienceA study analyzes customer experience at the Coffee Shop.Data on the number customers that frequent the shop over a month period.Frequency of drinking coffeeType of Customer Experience214Good234Good200Good222Good215Good230Good255Good263Good201Fair225Good209Fair200Fair255Good266Good287Good234Good255Good298Good288Good286Good233Good243Good299Good213Fair254Good211Fair207Fair260Good255Good234Good237GoodCount26Mean246.0769230769Median248.5Mode255Dispersion:Standard deviation29.9465164277Interquartile rangeDoes not apply because data is normally distributed.Range99Confidence Interval (Data must be normal)There is a 95% confidence that the population average is between ___239.910___ and ___251.870__.Normal or significantly skewed data:Data is normalHistogram:Normal data will have a symmetrical or slightly skewed shape.Significantly skewed shape will have an extreme skewnessReferenceMcClave, J. T., Benson, P. G., & Sincich, T. (2011). Statistics for Business and Economics. (11th ed.). Boston, MA: Prentice Hall.
&C&"Times New Roman,Regular"&12&A
&C&"Times New Roman,Regular"&12Page &P
Descriptive Data and Interpreta230025502630201022502090200025502660287023402550298028802860233024302990213025402110207026002550234023700241.3870967742029.766510734200.9500
215
Good
Inferential Statistics and Find230025502630201022502090200025502660287023402550298028802860233024302990213025402110207026002550234023700241.3870967742029.766510734200.9500
215
Good
FrequencyFrequency of Drinking CoffeeType of Customer Experience214Good234Good200Good222Good215Good230Good255Good263Good201Fair225Good209Fair200Fair255Good266Good287Good234Good255Good298Good288Good286Good233Good243Good299Good213Fair254Good211Fair207Fair260Good255Good234Good237GoodMean241.3870967742Standard Deviation29.7665107342Confidence Level95.00%0.05Confidence IntervalBetween 228.88 and 250.19The z score1.96Z Test statistic-0.3416ReferenceMcClave, J. T., Benson, P. G., & Sincich, T. (2011). Statistics for Business and Economics. (11th ed.). Boston, MA: Prentice Hall.
&C&"Times New Roman,Regular"&12&A
&C&"Times New Roman,Regular"&12Page &P
ExperienceFrequency of cups of coffee customers drink in a Week43212121512321712521274221522252339345721175101228121381225215159105197821205821212582135112121211121102112488144811216511218512192141102212113
Descriptive StatisticsCustomer Coffee Experience RatingsFrequency of SatisfactionNot Satisfied-15Sometime's Satisfied-215Satisfied-310Extremely Satisfied-4702444244414441444144424442444244414441444244424442444244424442443244324432443244344434443444344434443
DataFrequency of Cups of Coffee Customers Drink in a WeekSUM: 1,035TOTAL NUMBERS: 100MEAN: 10.35 cupsMEDIAN: 8 CupsMODE: 21 CupsSTANDARD DEVIATION: 7.66395% CONFIDENCE INTERVAL:-4.699Customers' Experience RatingsSUM: 345TOTAL NUMBERS: 100MEAN: 3.45MEDIAN: 4MODE: 4STANDARD DEVIATION: 0.92595% Con.
This document provides a guide for a QNT 351 final exam, with 30 multiple choice questions covering topics in statistics including hypothesis testing, probability, distributions, and other statistical concepts. The questions assess understanding of core statistical principles and calculations related to samples, populations, distributions, and hypothesis testing.
Question 1 of 254.0 PointsWhen assessing a positive relationship.docxteofilapeerless
Question 1 of 25
4.0 Points
When assessing a positive relationship between alcohol consumption and oral cancer using a case-control study, increasing the sample size of the study will result in which of the following
Reset Selection
Question 2 of 25
4.0 Points
The measure of the benefit to the population derived by modifying a risk factor is the:
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Question 3 of 25
4.0 Points
An approach to estimating the effects due to the single exposure factor is to compute the:
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Question 4 of 25
4.0 Points
A statistical association may be causal or noncausal. In addition, many diseases require that more than one factor be present for disease to develop. Examples of multiple causation models include:
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Question 5 of 25
4.0 Points
You are investigating the role of physical activity in heart disease and suggest that physical activity protects against having a heart attack. While presenting these data to your colleagues, someone asks if you have thought about confounders such as factor X. This factor X could have confounded your interpretation of the data if it
Reset Selection
Question 6 of 25
4.0 Points
The strategy which is not aimed at reducing selection bias is:
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Question 7 of 25
4.0 Points
The purpose of a double-blind study is to
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Question 8 of 25
4.0 Points
Which of the following is not a method for controlling the effects of confounding in epidemiologic studies
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Question 9 of 25
4.0 Points
Surgeons at Hospital A report that the mortality rate at the end of a one-year follow-up after a new coronary bypass procedure is 15%. At Hospital B, the surgeons report a one-year mortality rate of 8% for the same procedure. Before concluding that the surgeons at Hospital B have vastly superior skill, which of the following possible confounders would you examine?
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Question 10 of 25
4.0 Points
Sensitivity and specificity of a screening test refer to its:
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Question 11 of 25
4.0 Points
Lead time bias is best described as:
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Question 12 of 25
4.0 Points
The adverse consequences of using a screening test which has a low specificity include:
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Question 13 of 25
4.0 Points
The degree of agreement between several trained experts refers to
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Question 14 of 25
4.0 Points
A test that determines whether disease is actually present is a:
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Question 15 of 25
4.0 Points
A person with an inapparent infection
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Question 16 of 25
4.0 Points
The epidemiological triangle considers which factor(s) in the pathogenesis of disease:
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Question 17 of 25
4.0 Points
The Centers for Disease Control and Prevention published an article concerning the high rate of foot fungal disease in New Orleans. The article explains that there has been a high rate of foot fungal disease in New Orleans for decades. Foot fungal disease in New Orle.
This is an ethical dilemma for Dr. Matthews as she must decide whether to agree to the parents' and child's request to not discuss any sexual aspects of Irina's assault during treatment. Key principles that frame the dilemma are beneficence, fidelity, and respect for people's rights and dignity. Irina's age and the parents' involvement as her legal guardians influence applicable state laws on treatment of minors and HIPAA privacy rules. Dr. Matthews must consider relevant APA ethics standards and choose an alternative that balances ethical and legal obligations while promoting Irina's welfare.
For more course tutorials visit
www.qnt351.com
Q1 The Director of Golf for a local course wants to study the number of rounds played by members on weekdays. He gathered the sample information shown below for 520 rounds.
For more course tutorials visit
www.qnt351.com
Q1 The Director of Golf for a local course wants to study the number of rounds played by members on weekdays. He gathered the sample information shown below for 520 rounds
The document summarizes the results of a survey about consumer preferences and behaviors related to soft drinks. It finds that younger consumers prefer carbonated drinks while older consumers prefer non-carbonated options like juice and milk. Brand name and taste were the most important factors influencing purchase decisions. Most respondents were students aged 15-20 who consume soft drinks to quench thirst. Younger age groups had a preference for carbonated drinks, while occupation and gender were also found to impact drink preferences. Advertisements were most effective when featuring brand ambassadors or creative ideas that conveyed the brand's message.
Assignment DescriptionA reputable hospital has high quality .docxluearsome
Assignment Description
A reputable hospital has high quality ratings from patient satisfaction surveys but is still losing market share. For many years, health care organizations, as well as traditional businesses, have been frustrated that high customer satisfaction scores do not necessarily lead to higher levels of profitability or sales.
Prepare a report examining this phenomenon that address the following elements:
Evaluate and explain inconsistency between customer satisfaction scores and profitability and why it tends to exist in health care organizations.
Apply the statistical procedures discussed in class to support (or refute) the inconsistency.
Assess price vs. quality of services as well as the impact of insurance or managed care contracts on a hospital's market share, regardless of patient satisfaction levels.
Explain how you could use high patient satisfaction results to your advantage when negotiating a new managed care contract for the hospital. Discuss ethical issues involved when presenting results.
Discuss how qualitative and quantitative data can be used to help this hospital improve market share.
The body of the resultant report should be 5–7 pages and include at least 5 relevant peer-reviewed academic or professional references published within the past 5 years.
Library Resources:
Statistical Analysis 1 Below is a list of articles and summary descriptions on effective communication in health care. Click here to use the online library to search for the complete articles. Article 1 The increased use of meta-analysis in systematic reviews of health care interventions has highlighted several types of bias that can arise during the completion of a randomized controlled trial. Study publication bias and outcome reporting bias have been recognized as potential threats to the validity of meta-analysis and can make the readily available evidence unreliable for decision making. This update reviews and summarizes the evidence from cohort studies that have assessed study publication bias or outcome reporting bias in randomized controlled trials. Twenty studies were eligible, of which four were newly identified in this update. Only two followed the cohort all the way through from protocol approval to information regarding the publication of outcomes. Fifteen of the studies investigated study publication bias and five investigated outcome reporting bias. Three studies have found that statistically significant outcomes had higher odds of being fully reported as compared to nonsignificant outcomes (range of odds ratios: 2.2–4.7). In comparing trial publications to protocols, it was found that 40–62% of studies had at least one primary outcome that was changed, introduced, or omitted. It was decided not to undertake meta-analysis because of the differences between studies. This update does not change the conclusions of the review in which 16 studies were included. Direct empirical evidence for the existence of study publica ...
This document provides a guide to questions that will appear on the QNT 351 Final Exam. It includes 30 multiple choice questions covering topics in statistics such as hypothesis testing, probability, distributions, and sampling. The questions test understanding of core statistical concepts as well as the ability to perform calculations and analyze datasets.
For more classes visit
www.snaptutorial.com
Q1
The Director of Golf for a local course wants to study the number of rounds played by members on weekdays.
This document provides a guide for the QNT 351 Final Exam, including 30 multiple choice practice questions covering topics like hypothesis testing, probability, descriptive statistics, sampling, distributions, and confidence intervals. It also provides the scores from previous years' final exams.
This document provides a guide for the QNT 351 final exam, including 30 multiple choice questions covering topics in descriptive statistics, levels of measurement, measures of central tendency, probability, and probability distributions. It also provides the correct answers to the 30 questions.
This document summarizes a capstone project that assessed the knowledge of RN case managers regarding evidence-based nutritional guidelines for heart failure patients. A survey was distributed to RN case managers to evaluate their confidence level and knowledge of guidelines around sodium and fluid intake. The results identified several knowledge deficits and indicated a need for increased education and support from leadership to ensure nurses have the most up-to-date clinical guidelines. Suggested changes included implementing regular educational requirements for nurses and allocating more time for nurses to obtain necessary knowledge to properly educate patients.
Discover timeless style with the 2022 Vintage Roman Numerals Men's Ring. Crafted from premium stainless steel, this 6mm wide ring embodies elegance and durability. Perfect as a gift, it seamlessly blends classic Roman numeral detailing with modern sophistication, making it an ideal accessory for any occasion.
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SATTA MATKA SATTA FAST RESULT KALYAN TOP MATKA RESULT KALYAN SATTA MATKA FAST RESULT MILAN RATAN RAJDHANI MAIN BAZAR MATKA FAST TIPS RESULT MATKA CHART JODI CHART PANEL CHART FREE FIX GAME SATTAMATKA ! MATKA MOBI SATTA 143 spboss.in TOP NO1 RESULT FULL RATE MATKA ONLINE GAME PLAY BY APP SPBOSS
This document presents research on factors influencing university students' consumption of energy drinks in Dhaka, Bangladesh. The research found that taste, brand, caffeine, feeling refreshed, and brand loyalty were positively correlated with students' purchase intentions and self-satisfaction regarding energy drinks. Most students preferred the brand Speed and consumed drinks occasionally or monthly rather than daily, and daily consumers reported being less health conscious. The research aims to identify purchase factors for energy drinks and inform future studies on university student consumption.
The document discusses a study on consumer preferences and behaviors regarding soft drinks. It includes sections on research methodology, data analysis, and conclusions. Some key findings are:
1) Younger consumers prefer carbonated drinks while older consumers and service workers prefer juices and milk products.
2) Brand name is the primary factor influencing product selection, followed by taste.
3) Consumers ages 15-25 have the highest preference for carbonated drinks.
Gender, occupation, and age were found to have a dependent relationship with drink selection. The study provides insights into consumer preferences and marketing strategies for soft drinks.
Qnt 351 final exam new april 2016 versionAdams-ASs
QNT 351 FINAL EXAM NEW APRIL 2016 VERSION
Buy Solutions: http://hwsoloutions.com/downloads/qnt-351-final-exam-new-april-2016-version/
QNT 351 FINAL EXAM
NEW APRIL 2016 VERSION
A time series trend equation for Hammer Hardware is Y’ = 5.6 + 1.2t, where sales are in millions of dollars and t increases by one unit for each year. If the value of sales in the base year of 2016 is $5.6 million, what would be the estimated sales amount for 2018?
$8 million
$6.8 million
Unable to determine from given information
$5.6 million
A weight-loss company wants to statistically prove that its methods work. They randomly selected 10 clients who had been on the weight loss program for between 55 and 65 days. They looked at their beginning weights and their current weight. The statistical test they should utilize is:
t test for difference in paired samples
z test for two population proportions
Podium Presentation Midwest Social and Administrative Conference,Chicago,2008aramasa3
The document describes a study that developed and tested a survey instrument to measure patient satisfaction with pharmacy services among HIV-infected patients receiving care from either a mail-order or community pharmacy. Exploratory factor analysis established the construct validity of the survey and showed two key factors. Reliability testing found high internal consistency. The survey can be used to compare patient satisfaction across different pharmacy settings and inform efforts to improve patient-reported outcomes.
QNT 275 FINAL EXAM NEW 2016
Buy Solutions: http://hwsoloutions.com/downloads/qnt-275-final-exam-new-2016/
What is the name of the variable that’s used to predict another variable?
Explanatory
Standard error of the estimate
Response
Coefficient of determination
Professors at a local university earn an average salary of $80000 with a standard deviation of $6000. The salary distribution is approximately bell-shaped. What can be said about the percentage of salaries that are at least $74,000?
About 97.5 percent
About 84 percent
About 68 percent
About 95 percent
What type of relationship is indicated in the scatterplot?
A positive linear or curvilinear relationship
No relationship
A negative curvilinear relationship
A negative linear relationship
The study of statistics can be defined as:
the art and science of getting information from data.
All of the answers
the language of data.
the study of collecting, analyzing, presenting, and interpreting data.
In the accompanying stem-and-leaf diagram the values in the stem and leaf portions represent 10s and 1s digits, respectively.
The stem-and-leaf diagram shows that the distribution is ___________.
symmetric
positively skewed
negatively skewed
None of the ans
Lane – Ch. 142. The formula for a regression equation is Y’ = .docxsmile790243
Lane – Ch. 14
2. The formula for a regression equation is Y’ = 2X + 9.
a. What would be the predicted score for a person scoring 6 on X?
b. If someone’s predicted score was 14, what was this person’s score on X?
6. For the X,Y data below, compute:
a. r and determine if it is significantly different from zero.
b. the slope of the regression line and test if it differs significantly from zero.
c. the 95% confidence interval for the slope.
X
Y
4
6
3
7
5
12
11
17
10
9
14
21
Lane – Ch. 17
5. At a school pep rally, a group of sophomore students organized a free raffle for
prizes. They claim that they put the names of all of the students in the school in
the basket and that they randomly drew 36 names out of this basket. Of the prize
winners, 6 were freshmen, 14 were sophomores, 9 were juniors, and 7 were
seniors. The results do not seem that random to you. You think it is a little fishy
that sophomores organized the raffle and also won the most prizes. Your school is
composed of 30% freshmen, 25% sophomores, 25% juniors, and 20% seniors.
a. What are the expected frequencies of winners from each class?
b. Conduct a significance test to determine whether the winners of the prizes
were distributed throughout the classes as would be expected based on the
percentage of students in each group. Report your Chi Square and p values.
c. What do you conclude?
14. A geologist collects hand-specimen sized pieces of limestone from a particular
area. A qualitative assessment of both texture and color is made with the
following results. Is there evidence of association between color and texture for
theselimestones? Explain your answer.
COLOR
COLOR
COLOR
Texture
Light
Medium
Dark
Fine
4
20
8
Medium
5
23
12
Coarse
21
23
4
Illowsky – Ch. 11
True or False
70. The standard deviation of the chi-square distribution is twice the mean.
102.Do men and women select different breakfasts? The breakfasts ordered by randomly selected men and women at apopular breakfast place is shown inTable 11.55. Conduct a test for homogeneity at a 5% level of significance.
French Toast
Pancakes
Waffles
Omelettes
Men
47
35
28
53
Women
65
59
55
60
Use the following information to answer the next twelve exercises:Suppose an airline claims that its flights are consistentlyon time with an average delay of at most 15 minutes. It claims that the average delay is so consistent that the variance is nomore than 150 minutes. Doubting the consistency part of the claim, a disgruntled traveler calculates the delays for his next25 flights. The average delay for those 25 flights is 22 minutes with a standard deviation of 15 minutes.
113.df= _______
117. Let a = 0.05
Decision: _______
Conclusion (write out in a complete sentence): _________
The Regress ...
Descriptive Data and InterpretaDependent VariableIndependent Varia.docxtheodorelove43763
Descriptive Data and InterpretaDependent VariableIndependent VariableFrequency of drinking coffeeType of Customer ExperienceA study analyzes customer experience at the Coffee Shop.Data on the number customers that frequent the shop over a month period.Frequency of drinking coffeeType of Customer Experience214Good234Good200Good222Good215Good230Good255Good263Good201Fair225Good209Fair200Fair255Good266Good287Good234Good255Good298Good288Good286Good233Good243Good299Good213Fair254Good211Fair207Fair260Good255Good234Good237GoodCount26Mean246.0769230769Median248.5Mode255Dispersion:Standard deviation29.9465164277Interquartile rangeDoes not apply because data is normally distributed.Range99Confidence Interval (Data must be normal)There is a 95% confidence that the population average is between ___239.910___ and ___251.870__.Normal or significantly skewed data:Data is normalHistogram:Normal data will have a symmetrical or slightly skewed shape.Significantly skewed shape will have an extreme skewnessReferenceMcClave, J. T., Benson, P. G., & Sincich, T. (2011). Statistics for Business and Economics. (11th ed.). Boston, MA: Prentice Hall.
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Descriptive Data and Interpreta230025502630201022502090200025502660287023402550298028802860233024302990213025402110207026002550234023700241.3870967742029.766510734200.9500
215
Good
Inferential Statistics and Find230025502630201022502090200025502660287023402550298028802860233024302990213025402110207026002550234023700241.3870967742029.766510734200.9500
215
Good
FrequencyFrequency of Drinking CoffeeType of Customer Experience214Good234Good200Good222Good215Good230Good255Good263Good201Fair225Good209Fair200Fair255Good266Good287Good234Good255Good298Good288Good286Good233Good243Good299Good213Fair254Good211Fair207Fair260Good255Good234Good237GoodMean241.3870967742Standard Deviation29.7665107342Confidence Level95.00%0.05Confidence IntervalBetween 228.88 and 250.19The z score1.96Z Test statistic-0.3416ReferenceMcClave, J. T., Benson, P. G., & Sincich, T. (2011). Statistics for Business and Economics. (11th ed.). Boston, MA: Prentice Hall.
&C&"Times New Roman,Regular"&12&A
&C&"Times New Roman,Regular"&12Page &P
ExperienceFrequency of cups of coffee customers drink in a Week43212121512321712521274221522252339345721175101228121381225215159105197821205821212582135112121211121102112488144811216511218512192141102212113
Descriptive StatisticsCustomer Coffee Experience RatingsFrequency of SatisfactionNot Satisfied-15Sometime's Satisfied-215Satisfied-310Extremely Satisfied-4702444244414441444144424442444244414441444244424442444244424442443244324432443244344434443444344434443
DataFrequency of Cups of Coffee Customers Drink in a WeekSUM: 1,035TOTAL NUMBERS: 100MEAN: 10.35 cupsMEDIAN: 8 CupsMODE: 21 CupsSTANDARD DEVIATION: 7.66395% CONFIDENCE INTERVAL:-4.699Customers' Experience RatingsSUM: 345TOTAL NUMBERS: 100MEAN: 3.45MEDIAN: 4MODE: 4STANDARD DEVIATION: 0.92595% Con.
This document provides a guide for a QNT 351 final exam, with 30 multiple choice questions covering topics in statistics including hypothesis testing, probability, distributions, and other statistical concepts. The questions assess understanding of core statistical principles and calculations related to samples, populations, distributions, and hypothesis testing.
Question 1 of 254.0 PointsWhen assessing a positive relationship.docxteofilapeerless
Question 1 of 25
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When assessing a positive relationship between alcohol consumption and oral cancer using a case-control study, increasing the sample size of the study will result in which of the following
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The measure of the benefit to the population derived by modifying a risk factor is the:
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An approach to estimating the effects due to the single exposure factor is to compute the:
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A statistical association may be causal or noncausal. In addition, many diseases require that more than one factor be present for disease to develop. Examples of multiple causation models include:
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You are investigating the role of physical activity in heart disease and suggest that physical activity protects against having a heart attack. While presenting these data to your colleagues, someone asks if you have thought about confounders such as factor X. This factor X could have confounded your interpretation of the data if it
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The strategy which is not aimed at reducing selection bias is:
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The purpose of a double-blind study is to
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Which of the following is not a method for controlling the effects of confounding in epidemiologic studies
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Surgeons at Hospital A report that the mortality rate at the end of a one-year follow-up after a new coronary bypass procedure is 15%. At Hospital B, the surgeons report a one-year mortality rate of 8% for the same procedure. Before concluding that the surgeons at Hospital B have vastly superior skill, which of the following possible confounders would you examine?
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Sensitivity and specificity of a screening test refer to its:
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Lead time bias is best described as:
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The adverse consequences of using a screening test which has a low specificity include:
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The degree of agreement between several trained experts refers to
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A test that determines whether disease is actually present is a:
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A person with an inapparent infection
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The epidemiological triangle considers which factor(s) in the pathogenesis of disease:
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The Centers for Disease Control and Prevention published an article concerning the high rate of foot fungal disease in New Orleans. The article explains that there has been a high rate of foot fungal disease in New Orleans for decades. Foot fungal disease in New Orle.
This is an ethical dilemma for Dr. Matthews as she must decide whether to agree to the parents' and child's request to not discuss any sexual aspects of Irina's assault during treatment. Key principles that frame the dilemma are beneficence, fidelity, and respect for people's rights and dignity. Irina's age and the parents' involvement as her legal guardians influence applicable state laws on treatment of minors and HIPAA privacy rules. Dr. Matthews must consider relevant APA ethics standards and choose an alternative that balances ethical and legal obligations while promoting Irina's welfare.
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Q1 The Director of Golf for a local course wants to study the number of rounds played by members on weekdays. He gathered the sample information shown below for 520 rounds.
For more course tutorials visit
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Q1 The Director of Golf for a local course wants to study the number of rounds played by members on weekdays. He gathered the sample information shown below for 520 rounds
The document summarizes the results of a survey about consumer preferences and behaviors related to soft drinks. It finds that younger consumers prefer carbonated drinks while older consumers prefer non-carbonated options like juice and milk. Brand name and taste were the most important factors influencing purchase decisions. Most respondents were students aged 15-20 who consume soft drinks to quench thirst. Younger age groups had a preference for carbonated drinks, while occupation and gender were also found to impact drink preferences. Advertisements were most effective when featuring brand ambassadors or creative ideas that conveyed the brand's message.
Assignment DescriptionA reputable hospital has high quality .docxluearsome
Assignment Description
A reputable hospital has high quality ratings from patient satisfaction surveys but is still losing market share. For many years, health care organizations, as well as traditional businesses, have been frustrated that high customer satisfaction scores do not necessarily lead to higher levels of profitability or sales.
Prepare a report examining this phenomenon that address the following elements:
Evaluate and explain inconsistency between customer satisfaction scores and profitability and why it tends to exist in health care organizations.
Apply the statistical procedures discussed in class to support (or refute) the inconsistency.
Assess price vs. quality of services as well as the impact of insurance or managed care contracts on a hospital's market share, regardless of patient satisfaction levels.
Explain how you could use high patient satisfaction results to your advantage when negotiating a new managed care contract for the hospital. Discuss ethical issues involved when presenting results.
Discuss how qualitative and quantitative data can be used to help this hospital improve market share.
The body of the resultant report should be 5–7 pages and include at least 5 relevant peer-reviewed academic or professional references published within the past 5 years.
Library Resources:
Statistical Analysis 1 Below is a list of articles and summary descriptions on effective communication in health care. Click here to use the online library to search for the complete articles. Article 1 The increased use of meta-analysis in systematic reviews of health care interventions has highlighted several types of bias that can arise during the completion of a randomized controlled trial. Study publication bias and outcome reporting bias have been recognized as potential threats to the validity of meta-analysis and can make the readily available evidence unreliable for decision making. This update reviews and summarizes the evidence from cohort studies that have assessed study publication bias or outcome reporting bias in randomized controlled trials. Twenty studies were eligible, of which four were newly identified in this update. Only two followed the cohort all the way through from protocol approval to information regarding the publication of outcomes. Fifteen of the studies investigated study publication bias and five investigated outcome reporting bias. Three studies have found that statistically significant outcomes had higher odds of being fully reported as compared to nonsignificant outcomes (range of odds ratios: 2.2–4.7). In comparing trial publications to protocols, it was found that 40–62% of studies had at least one primary outcome that was changed, introduced, or omitted. It was decided not to undertake meta-analysis because of the differences between studies. This update does not change the conclusions of the review in which 16 studies were included. Direct empirical evidence for the existence of study publica ...
This document provides a guide to questions that will appear on the QNT 351 Final Exam. It includes 30 multiple choice questions covering topics in statistics such as hypothesis testing, probability, distributions, and sampling. The questions test understanding of core statistical concepts as well as the ability to perform calculations and analyze datasets.
For more classes visit
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Q1
The Director of Golf for a local course wants to study the number of rounds played by members on weekdays.
This document provides a guide for the QNT 351 Final Exam, including 30 multiple choice practice questions covering topics like hypothesis testing, probability, descriptive statistics, sampling, distributions, and confidence intervals. It also provides the scores from previous years' final exams.
This document provides a guide for the QNT 351 final exam, including 30 multiple choice questions covering topics in descriptive statistics, levels of measurement, measures of central tendency, probability, and probability distributions. It also provides the correct answers to the 30 questions.
This document summarizes a capstone project that assessed the knowledge of RN case managers regarding evidence-based nutritional guidelines for heart failure patients. A survey was distributed to RN case managers to evaluate their confidence level and knowledge of guidelines around sodium and fluid intake. The results identified several knowledge deficits and indicated a need for increased education and support from leadership to ensure nurses have the most up-to-date clinical guidelines. Suggested changes included implementing regular educational requirements for nurses and allocating more time for nurses to obtain necessary knowledge to properly educate patients.
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1. Consuming Energy Drinks: Factors that affecting university students in Dhaka city
Research objectives:
1. To study demographic characteristics of consumers and buying energy drinks.
2. To find which factor influence to buy energy drinks.
3. To study the relationship between the Gender and purchase place choice.
4. To study the relationship between gender and preferred medium of advertisement.
5. To study the relationship between periods of consumes energy drinks and health
conscious.
6. To fine the correlation between independent variables ( taste, caffeine, refreshment, and
brand loyalty) and dependent variables ( consume energy drinks)
Research methodology:
The study includes both expletory and descriptive research to find the more reliable solution and
clarify the solution. We set the questionnaire with likert scale and statistical tool used for factor
analysis and also set scaling measurement for regression analysis. Chi-square test, factor analysis
and regression analysis used for interpreting data. We send the questionnaire to 250 consumers
out of those consumers 200 consumers response to fill up the questionnaire. This research
divided into four categories. First of all there are the demographic characteristics of gender and
most purchase energy drinks. Secondly, there are three chi-square test of gender and purchase
place, Gender and advertisement, periods of time consume and health conscious. Thirdly there
are the factor analyses that influence the consumers of purchase energy drinks. Lastly there is
regression analysis of independent and dependent variables and find the correlation between
those variables. In likert scale the item were measured on a 5 point representing 1 low point and
5 high point.
After reviewing several previous results, the researcher selected the variables for testing. Those
variables are
X1: It has great Taste
X2: It has high Calories
X3: It gives me Energy
X4: I drink when hangout with my friends
X5: It gives me smartness
X6: It makes me feel refreshed
X7: It satisfy my thirst
2. Consuming Energy Drinks: Factors that affecting university students in Dhaka city
The Orthogonal Factor Model
pmpmpppp
mm
mm
FlFlFlX
FlFlFlX
FlFlFlX
2211
2222212122
1121211111
or in matrix form
LFuX .
The coefficient ijl is called the loading of the i’th variable on the j’th factor, so the matrix L
is the matrix of factor loadings. mFFF ,,, 21 are unobserved random variables. The
unobserved random vectors F and satisfy the following conditions:
1. F and are independent.
2. IFCovFE ,0 .
3. CovE ,0 , where is a diagonal matrix.
Import Results:
1. t
LLXCov . That is,
kmimkiki
iimiii
llllXXCov
lllXVar
11
22
2
2
1
,
2. LFXCov , . That is,
ijji lFXCov , .
[Derivations:]
1.
tttttt
LFLFLFLFLFLFXX
Thus,
t
tttttt
tttt
t
LL
EFLELFELFFLE
LFLFLFLFE
XXEXCov
Since F and are independent.
2.
Since
3. Consuming Energy Drinks: Factors that affecting university students in Dhaka city
tttt
FLFFFLFFX ,
so
LFEFFLEFXEFXCov ttt
, .
Note:
iiiimiiiii hlllXVar 222
2
2
1 ,
where 22
2
2
1
2
imiii lllh is called the i’th communality and i is called the specific
Demographic information
Gender
Frequency Percent Valid Percent Cumulative
Percent
Valid
Male 152 76.0 76.0 76.0
Female 48 24.0 24.0 100.0
Total 200 100.0 100.0
Out of 200 respondents there were 152 male and 48 female. The percentage value of male
respondents is 76% and female is 24%.
Most purchase energy drinks
Frequency Percent Valid Percent Cumulative
Percent
Valid
speed 118 59.0 59.0 59.0
tiger 51 25.5 25.5 84.5
power 22 11.0 11.0 95.5
black horse 9 4.5 4.5 100.0
Total 200 100.0 100.0
Out of 200 respondents 118 respondents drink speed, 51 respondents drink tiger, 22 respondents
drink power and others 9 respondents drink black horse. It may be observed that most purchase
energy drinks is speed and the percentage value is 59% which is greater than any other
percentage value of purchasing energy dinks.
Chi square test
Chi-Square Tests ( Gender and purchase place )
4. Consuming Energy Drinks: Factors that affecting university students in Dhaka city
Value df Asymp. Sig. (2-
sided)
Pearson Chi-Square 178.702
a
2 .000
Likelihood Ratio 182.772 2 .000
Linear-by-Linear Association 167.551 1 .000
N of Valid Cases 200
a. 2 cells (33.3%) have expected count less than 5. The minimum
expected count is .72.
Gender * common place purchase Cross tabulation
common place purchase Total
retail stores restaurants near the
university store
Gender
Male
Count 150 2 0 152
% within common place
purchase
98.7% 4.4% 0.0% 76.0%
Residual 34.5 -32.2 -2.3
Female
Count 2 43 3 48
% within common place
purchase
1.3% 95.6% 100.0% 24.0%
Residual -34.5 32.2 2.3
Total
Count 152 45 3 200
% within common place
purchase
100.0% 100.0% 100.0% 100.0%
The availability of purchase energy drinks, we asked 200 respondents to choose the most
common purchase place of energy drink among the retail stores, restaurants, near the
university stores and grocery stores. The Chi-Square Tests result between gender and purchase
place choice of energy drinks shows the high significant level. The result shows the value of
.000 which is the below of .05 (95% confidence level) and the result indicates high significance.
In the cross tabulation charts we can see that 150 male purchase energy drinks from retail stores
and 43 female purchase energy drinks from restaurants.
5. Consuming Energy Drinks: Factors that affecting university students in Dhaka city
Chi-Square Tests (Gender and Advertisement)
Value df Asymp. Sig. (2-
sided)
Pearson Chi-Square 9.947
a
3 .019
Likelihood Ratio 10.268 3 .016
Linear-by-Linear Association 8.819 1 .003
N of Valid Cases 200
a. 2 cells (25.0%) have expected count less than 5. The minimum
expected count is 1.44.
Another Chi-Square Tests between Gender and preferred medium of advertisement shows the
significant level of .019 which is also below the significant level of .05(95% confidence level).
The result shows the significant relationship among the gender and preferred medium of
advertisement. Here respondents were asked to choose the preferred medium of advertisement
among commercials advertisement, print media, web advertisement and billboard advertisement.
So we can reject null hypothesis and there is a association between gender and preferred medium
of advertisement.
Chi-Square Tests ( period of consume energy drinks and health
conscious )
Value df Asymp. Sig. (2-
sided)
Pearson Chi-Square 70.803
a
9 .000
Likelihood Ratio 71.887 9 .000
Linear-by-Linear Association 47.033 1 .000
N of Valid Cases 200
a. 0 cells (0.0%) have expected count less than 5. The minimum
expected count is 7.59.
6. Consuming Energy Drinks: Factors that affecting university students in Dhaka city
Period of consume Energy drink * health conscious Cross tabulation
health conscious Total
Extrem
ely
very somew
hat
not at
all
consume
Energy drink
daily
Count 2 9 21 27 59
% within health
conscious
6.1% 10.6% 45.7% 75.0% 29.5%
Residual -7.7 -16.1 7.4 16.4
weekly basis
Count 6 27 11 2 46
% within health
conscious
18.2% 31.8% 23.9% 5.6% 23.0%
Residual -1.6 7.4 .4 -6.3
half monthly
basis
Count 11 25 8 4 48
% within health
conscious
33.3% 29.4% 17.4% 11.1% 24.0%
Residual 3.1 4.6 -3.0 -4.6
occasionally
Count 14 24 6 3 47
% within health
conscious
42.4% 28.2% 13.0% 8.3% 23.5%
Residual 6.2 4.0 -4.8 -5.5
Total
Count 33 85 46 36 200
% within health
conscious
100.0
%
100.0
%
100.0%
100.0
%
100.0
%
7. Consuming Energy Drinks: Factors that affecting university students in Dhaka city
Here we asked 200 respondents to choose the period of time of consume energy drinks. Out of 5
option respondents choose those option daily, weekly, half monthly basis, monthly basis and
occasionally. We also collect data of 200 respondents that how health conscious they are and
there have also 4 option. Those are extremely, very, somewhat and not at all. The chi-square test
between the period of time of consume energy drinks and health conscious shows the result of
.00 significant values which is below the .05(97% confidence level). So there is a high
significant relationship among the period of consume energy drinks and health conscious.
Therefore we can reject null hypothesis and assume that there is high association between period
of time of consume energy drinks and health conscious of the respondents.
Here we can see from the cross tabulation table, respondents who drink energy drinks
daily(75%) those are less health conscious than those who drink only occasionally(42.4%).
Reliability Test
Reliability Statistics
Cronbach's Alpha N of Items
.725 18
Cronbach introduce a measurement to find the reliability of the research. To measure the data, it
split data into two halves in possible manner and for further computing the correlation
coefficient. The average of those values is cronbach alpha. If the test has strong consistency then
the cronbach value between (.70-.90) is highly acceptable for the research. Here we find the
cronbach alpha value is .725 which have the correlation of items in a test and acceptable for the
researcher.
Factor analysis
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .626
Bartlett's Test of Sphericity
Approx. Chi-Square 205.188
df 21
Sig. .000
By doing factor analysis of the data, there is KMO and bartlett’s test shows the result of Kaiser –
mayer-olkin measurement value of .626 by which we can assume that factor analysis is useful.
If kmo value is less than o.5 then is shows the result of useless of factor analysis. In above table
sample adequacy of measurement is .629.
8. Consuming Energy Drinks: Factors that affecting university students in Dhaka city
Total Variance Explained
Component Initial Eigenvalues Rotation Sums of Squared Loadings
Total % of Variance Cumulative % Total % of Variance Cumulative %
1 2.302 32.886 32.886 1.956 27.939 27.939
2 1.222 17.460 50.347 1.569 22.408 50.347
3 .961 13.723 64.070
4 .922 13.178 77.248
5 .663 9.473 86.721
6 .527 7.529 94.250
7 .403 5.750 100.000
Extraction Method: Principal Component Analysis.
Energy drinks purchase behavior has been factorized using PCA (principal component analysis)
with direct oblimin. Above the table represents the percentage of variance and percentage of
cumulative variance. There are 7 numbers of factors to analysis the data. Among those 2 factors
eigenvalue are more than one and the percentage of cumulative variance is 50.347.When
eigenvalue is more than 1 and it explains more variance than single variable. So above of those
factors we consider only 2 factor model.
Rotated Component Matrix
Component
1 2
[It satisfy my thirst ] .612
[It makes me feel refreshed] .563
[It has high calories] .740
[It has a great taste] .692
[It gives me energy] .755
[it gives me smartness] .645
[I drink when hangout with
my friends]
.590
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 3 iterations.
9. Consuming Energy Drinks: Factors that affecting university students in Dhaka city
From above of the table we can observe the loading factor of the data. If the number of loading is
high then the factors become more important. Anything above the 0.5 can be considered salient
and the determine factor becomes more vital if it increased loading according to the suggestions
of statistician. Above of the table there is the summary of the factor analysis.
Consolidated factor analysis for energy drinks purchase behavior
Factor Factor interpretation
(% of variance
explained)
Loading Variables include in the factors
Factor 1
Product image
This factor explains
27.93%
.692 It has great Taste
.740 It has high Calories
.755 It gives me Energy
Factor 2
Personal motives
This factor explains
22.40%
.590 I drink when hangout with my friends
.645 it gives me smartness
.563 It makes me feel refreshed
.612 It satisfy my thirst
Above of the table there shows summarized factor analysis and that explains the number of
factor loaded, percentage variance, and factor loading variables. Here factor item categorized to
their nature. From the table we can see maximum 27.93% variables can be explained by factor 1
and named as product image. In factor 2 which is named by personal motives can be explained
22.40% variables.
Regression
Model Summary
b
Model R R Square Adjusted R
Square
Std. Error of the
Estimate
1 .702
a
.493 .482 .6228
10. Consuming Energy Drinks: Factors that affecting university students in Dhaka city
a. Predictors: (Constant), Taste, Refreshment, Brand loyalty, Caffeine
b. Dependent Variable: Most purchase energy drinks
ANOVA
a
Model Sum of Squares df Mean Square F Sig.
1
Regression 70.476 4 17.619 45.429 .000
b
Residual 72.524 187 .388
Total 143.000 191
a. Dependent Variable: Most purchase energy drinks
b. Predictors: (Constant), Taste, Refreshment, Brand loyalty, Caffeine
Coefficients
a
Model Unstandardized Coefficients Standardized
Coefficients
t Sig.
B Std. Error Beta
1
(Constant) 1.233 .144 8.532 .000
Caffeine .002 .027 .005 .073 .942
Refreshment .007 .026 .016 .266 .791
Brand loyalty -.107 .026 -.272 -4.099 .000
Taste .488 .040 .631 12.082 .000
a. Dependent Variable: Most purchase energy drinks
Above the table we can explain that we find the correlation between the dependent and
independent variables. Here dependent variable is consuming energy drinks and independent
variables are taste, refreshment, caffeine, and brand loyalty. Here above the table r square
change describe only have 49% correlation of the independent and dependent variables. If
independent variables change there will no so much effect on dependent variables. So above the
model summery describe that there is not so much correlation among the independent and
dependent variables but those variables are high significant.
11. Consuming Energy Drinks: Factors that affecting university students in Dhaka city
Key findings:
Above of the research majority of the respondents were male which is 76% and female
respondents were 24%. Among those respondents most of the people drinks speed which is 59%.
In this research also found that there is strong relationship between gender and purchase place
choice.
Also have the strong relationships between the Gender and preferred medium of advertisement
(commercials, web ad and print media)
This research also finds that there is a relation between period of consuming energy drinks and
health conscious of the respondents.
An interesting fact comes from the research that people who were drinks energy drinks have the
less conscious about their health and people who were drinks occasionally have very much
health conscious.
This research identify the most two factors or components those effect energy drinks purchase
behavior. Among those, factor 1 which has named as product image is explained by three items:
1. It has great Taste
2. It has high Calories
3. It gives me Energy
It describes that those factors influence most to the consumers of purchasing energy drinks with
variance 27.93%.
Above of the factor analysis we can also find that out of those factors, Factor 2 which is named
as personal motives also influence the consumers to purchase energy drinks and it includes four
items
1. I drink when hangout with my friends
2. It gives me smartness
3. It makes me feel refreshed
4. It satisfy my thirst
12. Consuming Energy Drinks: Factors that affecting university students in Dhaka city
It describes that consumers personal motives also can influence of purchasing behavior and those
factors have 22.40% variance.
In this research we also find that there is a correlation of purchase energy drinks with taste,
caffeine, refreshment and brand loyalty. We classify those into dependent and independent
variables. In independent variables includes taste, refreshment, brand loyalty and caffeine. On
the other hand in dependent variables include product categories with energy drinks consume. In
this research R square change can describe only 49% of the correlation among those dependent
and independent variables.