A T Still University W12 Data Analysis with Jomavi Software Essay

User Generated

Znkjrycrgref

Business Finance

A T Still University

Description

I'm working on this assignment bid only if you know marketing and analysis well and if you can follow instruction, have a look at the instruction before biddingTask Description

undefined

Your task in this assignment is to conduct quantitative data analysis and discuss your analysis findings from a marketing researcher's perspective. You will be provided two datasets in Week 9, and for each dataset, you will:

undefined
  • Examine the demographic profiles.
  • Test the associations between required variables.
  • Discuss the marketing implications of the analysis findings.
undefined

This assignment should be submitted in a single Word document, has a maximum word limit of 1600, and requires a minimum of 10 references. The Moodle submission of this ast will be due at 5pm AEST Friday Week 12.

Unformatted Attachment Preview

Task Description Your task in this assessment is to conduct quantitative data analysis and discuss your analysis findings from a marketing researcher's perspective. You will be provided two datasets in Week 9, and for each dataset, you will: • • • Examine the demographic profiles. Test the associations between required variables. Discuss the marketing implications of the analysis findings. This assessment should be submitted in a single Word document, has a maximum word limit of 1600, and requires a minimum of 10 references. The Moodle submission of this assessment will be due at 5pm AEST Friday Week 12. Assessment Criteria • • • • • • Dataset 1: analysis - 7.5 marks Dataset 1: marketing implications of the analysis findings - 10 marks Dataset 2: analysis - 7.5 marks Dataset 2: marketing implications of the analysis findings - 10 marks Assessment presentation and referencing - 5 marks Total - 40 marks Dataset 1.xlsx 16 May 2021, 10:38 PM Dataset 2.xlsx 16 May 2021, 10:38 PM Notes and Tasks on Dataset 1 and Dataset 2.docx 16 May 2021, 10:38 PM Notes on Dataset 1: a. Please treat Dataset 1 as the hypothetical dataset collected from a hypothetical study, where participants were randomly assigned to one of three conditions, depending on the eco-friendliness level (low vs. medium vs. high) of a product they were about to use. Specifically, they were told about the eco-friendliness level of the product (e.g., a gym equipment), and used the product to engage in a relevant consumption activity (e.g., used the gym equipment to exercise in a training session). Participants were then asked to evaluate the enjoyment level of the activity that involved using the product, as well as answer questions on their age, gender, and language background. b. The variable "product eco-friendliness level" is based on: 0 = low (none of the product parts is made of eco-friendly materials); 1 = medium (a few of the product parts are made of eco-friendly materials); 2 = high (most of the product parts are made of eco-friendly materials). c. The variable "enjoyment" stands for the enjoyment level of the activity that involves using the product, which is based on a 10-point scale anchored by: 1 = not enjoyable at all; 10 = extremely enjoyable. d. The variable "age" stands for age in years. e. The variable "gender" is based on: 0 = female; 1 = male. f. The variable "language" is based on: 1 = native English speaker; 2 = native Chinese speaker; 3 = native Spanish speaker; 4 = native speaker of other language. Tasks on Dataset 1: a. Please examine the participants' demographic profiles based on the following variables: age, gender, and language. b. Please test the association between product eco-friendliness level and enjoyment, and the association between product eco-friendliness level and age. c. Please discuss the marketing implications of the analysis findings, in terms of both their theoretical implications and managerial implications. As for the theoretical implications, please discuss how the analysis findings are linked to the existing literature published in academic journals. As for the managerial implications, please apply the analysis findings to a real-world organisation. That is, please provide specific recommendations to the organisation based on the analysis findings, in order to improve the organisation's marketing practice. Notes on Dataset 2: a. Please treat Dataset 2 as the hypothetical dataset collected from a hypothetical study, where participants were randomly assigned to one of three conditions, depending on the temperature (cold vs. medium vs. warm) of a food product they were about to taste. Specifically, they were told about the temperature of the food product, and were then required to evaluate the amount of calories in the food product. Participants were also asked to answer questions on their age, gender, and income. b. The variable "food product temperature" is based on: 0 = cold (the food product is served cold); 1 = medium (the food product is served at the room temperature); 2 = warm (the food product is served warm). c. The variable "calorie evaluation" stands for participants’ evaluation of the amount of calories in the food product, which is based on a 9-point scale anchored by: 1 = extremely low; 9 = extremely high. d. The variable "age" stands for age in years. e. The variable "gender" is based on: 0 = female; 1 = male. f. The variable "income" stands for participants’ total pre-tax personal income for the previous year, which is based on: 1 = $49,999 and below; 2 = $50,000 to $99,999; 3 = $100,000 to $149,999; 4 = $150,000 and above. Tasks on Dataset 2: a. Please examine the participants' demographic profiles based on the following variables: age, gender, and income. b. Please test the association between food product temperature and calorie evaluation, and the association between food product temperature and income. c. Please discuss the marketing implications of the analysis findings, in terms of both their theoretical implications and managerial implications. As for the theoretical implications, please discuss how the analysis findings are linked to the existing literature published in academic journals. As for the managerial implications, please apply the analysis findings to a real-world organisation. That is, please provide specific recommendations to the organisation based on the analysis findings, in order to improve the organisation's marketing practice. food product temperature calorie evaluation 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 age 2 1 1 2 6 2 1 1 6 5 6 2 2 2 1 1 6 2 2 1 1 9 1 2 2 3 6 6 2 2 1 2 5 5 2 1 7 7 6 6 6 6 6 2 2 6 gender 66 56 32 18 20 30 29 22 21 39 38 32 30 21 22 31 40 51 38 18 30 21 25 61 23 61 60 36 28 23 23 24 59 63 20 19 30 26 32 29 21 22 38 37 21 38 income 1 0 0 0 1 0 0 0 1 0 1 1 1 1 1 0 1 1 0 1 0 0 0 0 1 0 0 0 1 1 1 1 0 1 1 0 0 0 0 1 0 0 0 1 1 1 3 2 1 1 1 1 1 1 2 4 3 3 1 1 1 4 4 1 1 1 3 1 4 3 4 2 4 1 2 1 1 2 4 1 1 1 1 3 3 1 4 2 1 4 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 7 6 5 5 5 9 5 5 5 2 1 5 5 6 5 6 5 5 9 8 8 9 8 8 5 9 9 8 8 8 5 8 8 9 8 8 8 8 5 8 8 8 6 2 8 8 9 45 32 29 19 19 49 37 25 66 22 20 36 22 27 29 21 68 67 64 58 20 20 28 21 30 31 26 28 35 31 31 25 30 35 50 55 35 19 19 29 59 27 21 29 60 36 20 1 0 1 0 0 1 0 1 0 0 0 0 1 0 0 1 0 1 1 0 1 1 0 1 1 0 1 0 1 0 0 0 0 1 1 1 0 0 0 0 1 1 1 1 0 1 0 1 2 1 1 3 3 3 3 4 3 4 2 4 2 4 2 1 1 2 2 4 3 1 1 1 2 1 2 2 2 1 1 1 1 2 3 2 4 4 2 3 1 1 1 2 3 4 2 2 2 8 5 9 40 27 59 1 0 1 1 4 1 product eco-friendliness level enjoyment age 0 6 0 3 0 2 0 1 0 2 0 2 0 5 0 4 0 6 0 4 0 3 0 3 0 2 0 2 0 2 0 5 0 3 0 3 0 1 0 10 0 2 0 1 0 1 0 1 0 3 0 4 0 6 0 6 0 2 0 5 1 5 1 6 1 6 1 6 1 7 1 7 1 9 1 10 1 5 1 5 1 5 1 2 1 1 1 10 1 6 1 6 gender 22 20 18 29 30 21 22 32 30 38 39 40 31 22 21 30 18 39 50 26 22 62 20 28 36 60 61 26 22 22 18 20 22 30 28 33 22 21 36 39 38 22 31 46 18 30 language 0 0 0 0 1 0 1 1 1 0 1 1 0 1 1 0 1 0 0 0 0 0 1 1 0 1 1 1 0 1 0 1 0 0 1 0 0 1 0 0 0 0 1 0 1 1 4 2 1 1 1 1 1 2 1 1 4 4 4 1 2 4 3 1 1 2 3 4 4 1 1 1 1 2 1 4 3 1 1 1 3 4 2 1 2 4 1 2 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 6 6 6 6 5 2 1 2 6 6 6 6 6 6 6 6 10 9 6 8 8 7 9 6 2 5 6 6 9 9 6 6 6 9 9 6 8 1 9 9 8 9 9 9 18 50 36 26 22 66 36 20 28 21 21 29 66 69 19 21 20 29 29 32 28 26 30 36 26 30 49 36 30 18 18 36 56 22 26 60 28 20 36 60 29 69 28 29 1 1 0 0 0 0 0 0 1 0 0 1 1 1 0 1 1 0 0 0 1 1 1 0 1 0 1 0 0 1 0 1 1 0 1 0 0 0 0 0 0 1 1 0 4 4 4 4 3 4 4 1 3 1 1 2 1 4 1 2 4 2 1 1 2 1 1 1 1 1 1 1 4 1 4 2 4 4 1 1 1 3 1 1 4 4 3 2 Dear Students, Please see below for those frequently asked questions on this assessment, and my answers to them. Question 1: What is the required structure for this individual written assessment? Do I need to include an abstract, executive summary, table of contents, introduction, or conclusion? Answer: Please see below for the required structure for this individual written assessment: Title page 1. Dataset 1: analysis 1.1. Demographic profiles 1.2. Association tests 2. Dataset 1: marketing implications of the analysis findings 2.1. Theoretical implications 2.2. Managerial implications 3. Dataset 2: analysis 3.1. Demographic profiles 3.2. Association tests 4. Dataset 2: marketing implications of the analysis findings 4.1. Theoretical implications 4.2. Managerial implications Reference list Hence, for this individual written assessment, there is no need to include an abstract, executive summary, table of contents, introduction, or conclusion. Question 2: What software should I use to analyse the datasets? Answer: Please use Jamovi, which is available from https://www.jamovi.org/download.html Question 3: What should I report when examining the participants' demographic profiles based on the required variables? Answer: Please report the mean and standard deviation for those required variables which are based on interval or ratio scales, and report the frequency table for those required variables which are based on nominal or ordinal scales. Question 4: What should I report when testing the associations between the required variables? Answer: For each association test in this assessment, please report both Pearson and Spearman correlation coefficients as well as their corresponding p values. Question 5: Can my references include resources other than journal articles? Answer: Yes. Please feel free to use journal articles, books, industry reports, online resources, or any other types of relevant references. However, please note that as for the theoretical implications under subsections 2.1 and 4.1, you need to discuss how the analysis findings are linked to the existing literature published in academic journals. Question 6: Should I condense my writing if my total word count (excluding the reference list) is 1620 words? Answer: Yes, please condense it, as your total word count (excluding the reference list) should not exceed 1600 words. Microbiology questions Name of Student Institutional Affiliation Date MICROBIOLOGY QUESTIONS 2 Question 1 Microscopy, antigen detection, serology, and culture have all been used in traditional or conventional microbiological testing. Microscopy of direct clinical specimens has been used from the beginning of microbiology and has played a critical role in the quick diagnosis of bacterial and fungal illnesses. Nucleic Acid-Based Approaches Nucleic acid corrosive tests are those that identify a microorganism's DNA or RNA. An assortment of financially accessible nucleic corrosive based tests has been formed and carried out into routine use in numerous labs around the world (Vazquez-Pertejo, 2020). Several research institutions also have 'in-house' examinations. locally developed tests have potential to be less expensive, and they may be able to test specialists for whom there are no economically viable alternatives. Notwithstanding, the level of normalization and approval will be focus subordinate. Nucleic corrosive based measures oftentimes utilize the standards (or adjustments thereof of the polymerase chain reaction (PCR), in which unequivocal DNA foundations are used close by DNA polymerase and substrate in warming cooling cycles to improve the goal DNA. Location of the PCR item might be through various modalities (Mothershed, & Whitney, 2016). Continuously PCR, the PCR response is checked during the responses to such an extent that the end result can be identified and furthermore the measure of DNA in the first example can be evaluated. RNA targets can likewise be intensified along these lines yet ordinarily require the utilization of opposite transcriptase to change over the RNA into correlative DNA. The traditional microbiology MICROBIOLOGY QUESTIONS 3 Generally, normal microbiology testing has ordinarily included microscopy, antigen recognizable proof, serology and culture. The use of minuscule evaluation of direct clinical models follows right back to the happening to microbiology and has had a huge part in quick acknowledgment of bacterial, parasitic and protozoal-based diseases. While much of the time it might address a 'best quality level' for analysis, for example, with intestinal sickness or stool parasites, as a rule, microscopy just offers a possible finding that requires further affirmation with other testing modalities. On account of infections, electron microscopy is required yet this is infrequently reasonable for clinical purposes (Franki, 2015). Antigen revelation systems commonly use monoclonal antibodies facilitated against express antigens, and modalities join ELISA and marked safe microscopy. While these tests are normally very explicit and inspiration shows an analysis, their affectability is regularly low and an adverse outcome is oftentimes clinically pointless. Serology testing depends on the location of a host humoral reaction to disease. Maybe above all, time is required for have seroconversion to the contaminating specialist to such an extent that they are infrequently useful in intense sickness determination and regularly just supportive everything considered. The chief methods for customary testing is culture. On account of microscopic organisms and parasites, clinical examples are immunized on a scope of media and brooded. Utilization of particular and differential media may permit improved recognizable proof and recommend a hypothetical determination. Biochemical testing is frequently used to differentiate species, and antimicrobial susceptibilities are determined by plating or stock weakening. As a rule, when societies are positive they address a 'highest quality level' determination. Be that as it may, infrequently, phenotypic testing by itself is an intriguing prospect that depicts MICROBIOLOGY QUESTIONS 4 various categorizations of animal groups level. A more prominent issue emerges with refined because of its helpless affectability. For instance, blood sources may simply be positive in 10% to 15% of examples of outrageous pneumonia, and this is even lower inside seeing past antimicrobial treatment (WHO, 2019). Moreover, depending on hatching implies that days are normally needed for results for microscopic organisms and yeast, and often weeks or months for parasites and mycobacteria. In extreme sickness, even hourly postponements in therapy may have critical antagonistic consequences for result. Antimicrobial powerlessness is for the most part profoundly prescient of clinical viability, albeit inducible compounds can be deluding and disappointment can happen in spite of introductory in vitro weakness. Culture of infections and protozoa is full of trouble and once in a while helpful in the clinical microbiology research facility. Mass Spectrometry Technology The latest and significant progression in the clinical microbiology research center has been propels in mass spectrometry innovation and its application to biomolecules. Thermal vaporization is used in traditional mass spectrometry to transform and separate molecules into gas phase ions for analysis (Patel, 2013). This method, however, is not suited for big macromolecules due to degradation. In clinical microbiology laboratories, bacterial or contagious provinces are exposed to MALDI-TOF investigation, and the subsequent range is contrasted with spectra from reference information bases. The MALDI-TOF method requires very little sample preparation, is highly quick to analyze, and offers a genus or species level identification result within minutes of sample application (Laupland & Valiquette, 2013). Question 2 MICROBIOLOGY QUESTIONS 5 In compared to culture, molecular techniques have features that should allow for improved sensitivity and specificity. However, in the diagnosis of PJI, statistical measurements of molecular approaches' performance are not always higher than with culture. In studies where molecular methods have a higher sensitivity than culture, the specificity is lower, or the sensitivity is lower and the specificity is higher (Kobayashi et al., 2018). However, in certain analyses, molecular diagnostics had higher sensitivity and specificity than culture-based diagnostics (Achermann et al., 2010). In molecular and culture approaches on the same periprosthetic tissue specimens in a prospective study. bacterial or contagious provinces are exposed to MALDI-TOF investigation, and the subsequent range is contrasted with spectra from reference information bases. The best comparison between culture and molecular approaches was achieved using this criterion (Rak et al., 2013). Additionally, because diagnostic molecular approaches have a substantially shorter turnaround time, they are appealing for pathogen identification in diseases with rapid development, such as NSTI, where accurate early antibiotic treatment is critical (Rudkjøbing et al., 2016). In a few of hours, several innovative next-generation sequencing technologies can generate sequence analysis on complex material. Furthermore, if the current antibiotic therapy is adequately covering the findings, swift accurate diagnostics can help to avoid unnecessary antibiotic modifications. The utilization of sub-atomic methodologies may expand the threat of distinguishing colonizers or contaminations positively, however this might be a satisfactory compromise to have the option to recognize microorganisms in all examples, including those where typical culture tests didn't bring about organism development. Because the causal agent(s) are not always able to cultivate, diagnosing a prosthetic joint infection with a culture approach MICROBIOLOGY QUESTIONS 6 might be difficult. Many studies have looked into molecular techniques, although their use in regular diagnostics is still debatable. Question 3 The most effective components to be considered include: the illness or condition to be analyzed regardless of whether a solitary test or an indicative calculation is required, whether the test ought to, or can, give a subjective or quantitative outcome, clinical utility, the site of testing, for example in a huge research facility or a little medical services place, and the end-client for the research. Other significant contemplations are the clinical utilization of the test (for example regardless of whether a screening or corroborative test is required) and the additional worth of the test or blend of tests (Kosack, Page & Klaster, 2017). Additionally, other questions that provides a guide towards identifying the best assays include i) Does the assay enable resource recapture, resulting in cost savings or reinvestment of freed up resources? and ii) Does the result provide clinically useful information? (Murphy, 2018). This provision facilitates the development of effective assays for use in microbiological testing. Question 4 I believe that that the most prevalent test in future will mainly revolve around molecular examinations whereby due to their ability to identify pathogens in all samples as compared to culture diagnostics which had lower sensitivity towards pathogens in some tests. Additionally, the time sparing characteristic of molecular diagnostics is a desirable feature in clinical diagnostics of diseases which exhibit rapid development. An example is with the Corona Pandemic which requires mass testing for identification of pathogens across a wide population. It is noteworthy that culture based methods usually require 24-48 hours as the turnaround time for MICROBIOLOGY QUESTIONS 7 the results report to be completed whereas the molecular tools provide a faster output (Oliver et al., 2014). Thus, the accuracy and efficiency of the measurement criterion qualifies the method of pathogen identification in microbiology as the one that will be applied in most diagnostics. Analytic atomic science is the quickest developing subject in the present research facility medication, with the possibility to change clinical medication drastically in the following decade (Bullman et al., 2012). Additionally, clinical microbiology has changed dramatically in recent decades. Clinical virology has been transformed by the introduction of nucleic acid-based assays; virus culture and serology have virtually become obsolete (Laupland & Valiquette, 2013). Although some nucleic acid-based tests have superseded some classic bacteriology tests, the vast majority of them still provide useful information when combined with traditional culture-based tests. MALDI-TOF technology and applications, as well as multiplex nucleic acid-based diagnostics and arrays, are fast emerging and will definitely have a significant impact on our capacity to provide fast and effective antimicrobial therapy to our patients (Laupland & Valiquette, 2013). This notion compliments the existence of higher tolerance towards microbiology testing. MICROBIOLOGY QUESTIONS 8 References Achermann Y Vogt M Leunig M Wust J Trampuz A (2010) Improved diagnosis of periprosthetic joint infection by multiplex PCR of sonication fluid from removed implants. J Clin Microbiol48: 1208–1214.Bullman, S., Lucey, B., & Sleator, R. D. (2012). Molecular diagnostics. Bioengineered, 3(1), 1-7. https://doi.org/10.4161/bbug.3.1.19011 Frankl, A., Mari, M., & Reggiori, F. (2015). Electron microscopy for ultrastructural analysis and protein localization in saccharomyces cerevisiae. Microbial Cell, 2(11), 412-428. https://doi.org/10.15698/mic2015.11.237 Kobayashi N Procop GW Krebs V Kobayashi H Bauer TW (2008) Molecular identification of bacteria from aseptically loose implants. Clin Orthop Relat Res466: 1716–1725 MICROBIOLOGY QUESTIONS Kosack, C. S., Page, A., & Klatser, P. R. (2017). A guide to aid the selection of diagnostic tests. Bulletin of the World Health Organization, 95(9), 639-645. https://doi.org/10.2471/blt.16.187468 Laupland, K. B., & Valiquette, L. (2013). The changing culture of the microbiology laboratory. Canadian Journal of Infectious Diseases and Medical Microbiology, 24(3), 125-128. https://doi.org/10.1155/2013/101630 Mothershed, E. A., & Whitney, A. M. (2016). Nucleic acid-based methods for the detection of bacterial pathogens: Present and future considerations for the clinical laboratory. Clinica Chimica Acta, 363(1-2), 206-220. https://doi.org/10.1016/j.cccn.2005.05.050 Murphy, P. G. (2001). Selection of a Suitable Assay. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2556576/ Oliver, D. M., van Niekerk, M., Kay, D., Heathwaite, A. L., Porter, J., Fleming, L. E., Kinzelman, J. L., Connolly, E., Cummins, A., McPhail, C., Rahman, A., Thairs, T., De Roda Husman, A. M., Hanley, N. D., Dunhill, I., Globevnik, L., Harwood, V. J., Hodgson, C. J., Lees, D. N., … Quilliam, R. S. (2014). Opportunities and limitations of molecular methods for quantifying microbial compliance parameters in EU bathing waters. Environment International, 64, 124-128. https://doi.org/10.1016/j.envint.2013.12.016 Patel, R. (2013). Matrix-assisted laser desorption ionization-time of flight mass spectrometry in clinical microbiology. https://pubmed.ncbi.nlm.nih.gov/23595835/ 9 MICROBIOLOGY QUESTIONS 10 Rak, M., Barlič-Maganja, D., Kavčič, M., Trebše, R., & Cőr, A. (2013). Comparison of molecular and culture method in diagnosis of prosthetic joint infection. FEMS Microbiology Letters, 343(1), 42-48. https://doi.org/10.1111/1574-6968.12125 Rudkjøbing, V. B., Thomsen, T. R., Xu, Y., Melton-Kreft, R., Ahmed, A., Eickhardt, S., Bjarnsholt, T., Poulsen, S. S., Nielsen, P. H., Earl, J. P., Ehrlich, G. D., & Moser, C. (2016). Comparing culture and molecular methods for the identification of microorganisms involved in necrotizing soft tissue infections. BMC Infectious Diseases, 16(1). https://doi.org/10.1186/s12879-016-1976-2 Vazquez-Pertejo, M. T. (2020). Nucleic Acid–Based Identification Methods for Infectious Disease. https://www.msdmanuals.com/professional/infectious-diseases/laboratorydiagnosis-of-infectious-disease/nucleic-acid%E2%80%93based-identification-methodsfor-infectious-disease Dear Students, Please see below for those frequently asked questions on this assessment, and my answers to them. Question 1: What is the required structure for this individual written assessment? Do I need to include an abstract, executive summary, table of contents, introduction, or conclusion? Answer: Please see below for the required structure for this individual written assessment: Title page 1. Dataset 1: analysis 1.1. Demographic profiles 1.2. Association tests 2. Dataset 1: marketing implications of the analysis findings 2.1. Theoretical implications 2.2. Managerial implications 3. Dataset 2: analysis 3.1. Demographic profiles 3.2. Association tests 4. Dataset 2: marketing implications of the analysis findings 4.1. Theoretical implications 4.2. Managerial implications Reference list Hence, for this individual written assessment, there is no need to include an abstract, executive summary, table of contents, introduction, or conclusion. Question 2: What software should I use to analyse the datasets? Answer: Please use Jamovi, which is available from https://www.jamovi.org/download.html Question 3: What should I report when examining the participants' demographic profiles based on the required variables? Answer: Please report the mean and standard deviation for those required variables which are based on interval or ratio scales, and report the frequency table for those required variables which are based on nominal or ordinal scales. Question 4: What should I report when testing the associations between the required variables? Answer: For each association test in this assessment, please report both Pearson and Spearman correlation coefficients as well as their corresponding p values. Question 5: Can my references include resources other than journal articles? Answer: Yes. Please feel free to use journal articles, books, industry reports, online resources, or any other types of relevant references. However, please note that as for the theoretical implications under subsections 2.1 and 4.1, you need to discuss how the analysis findings are linked to the existing literature published in academic journals. Question 6: Should I condense my writing if my total word count (excluding the reference list) is 1620 words? Answer: Yes, please condense it, as your total word count (excluding the reference list) should not exceed 1600 words.
Purchase answer to see full attachment
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.

Explanation & Answer

Please view explanation and answer below.

Running head: DATA ANALYSIS

1

Data Analysis with Jomavi Software
Name
Institutional Affiliation

DATA ANALYSIS

2

Dataset 1: analysis
The standard deviation for this measurement are less than 1. Indicating that the values from
this dataset have low variance as the coefficient of variation is less than one from the parametric
analysis from the software giving a standard deviation of o.83. The software analysis of Pearson
and Spearman correlation coefficient of the level of enjoyment of the product and the age Is -0.783
and -0.67, respectively. They were showing an indirect relationship between the level of happiness
and the age of the person. The dataset is typically distrusted with low variance as the mean of the
variable age is 31 and therefore showing normal distribution.
According to dataset 1, most of the sample is drawn from the age of 20 years old to 40
years old of a merely equal number of males and females, with the majority of enjoyment as level
10 and lowest at 1. The dataset has males and females with relative knowledge of different
languages; some can speak as many as four languages while others can only speak one language.
The average age in the sample is 31 years of age. And the coefficient ratio of the gender is 2:3.
The level of product Eco-friendliness is is tested at various levels, as this is meant to determine
how prize variation of a product affects the level of enjoyment.
2. Dataset 1: marketing implications of the analysis findings
Based on the demographic analysis, most people are relatively young and therefore form
the basis of the market structure analysis. From the study, the enjoyment level is higher in young
persons as portrayed by the extreme values of 10 and 9 in the level of enjoyment. Therefore, it
implies that the marketing strategies should be employed to cover younger or middle-aged people
to enhance profitability. On the other hand, the language has various effects on the marketing of a
product; thereby, when considering the marketing of the product, it should be done cover all the

DATA ANALYSIS

3

four languages as in the sample to ensure that every potential buyer or consumer has the required
basic information on the product. For instance, when showcasing the products either through any
media, the proprietors and marketers should adopt the four languages for communication.
Sometimes, the language barrier directly affects sales of a particular product in the market,
especially when it’s in a cosmopolitan setting.
On the other hand, gender has no severe impact on the level of friendliness of the product
as it is clear that the product is gender non-selective. Therefore when considering the marketability
of the particular product, it is prudent to cut across the gender as everyone embraces it. Similarly,
there is no significant correlation between the development and gender on the level of enjoyment.
Therefore, it’s pretty satisfying to market the product to both males and females in equal measure
as the product can be considered gender insensitive. The product is also regarded as having high
enjoyment level with its increased eco-friendly level. When the product is eco-friendly enough, it
is enjoyable; therefore, it is essential to consider that aspect. Cheap products are deemed to be
enjoyed based on the data analysis of dataset 1.
Age does affect the enjoyment rate due to a change in their behaviour and pattern of
lifestyle. As people age, they tend to have psychological, social, and biological changes, thus
creating different demand for consummation. As can be defined clearly, most of the group in their
twenties and thirties tend to have a high level of enjoyment compared to those in their sixties.
These psychological, social and biological changes interfere with the cognitive behaviour as she
ages and therefore results in being less active and reduced roles and thereby have a direct negative
impact on the market products.
The implication of these analyses on the marketing of the product is straightforward
considering the study done, is that the majority of the demographics analyses always shows that

DATA ANALYSIS

4

the majority is young and the middle age, it is therefore imperative to have marketing ideas that
will make the majority of this group benefit from this product. A generation has a direct and
favorable marketing implication on the enjoy ability of a product by a population.
Dataset 2: analysis
From the software, the data has a relatively large variance as a result of computing a higher
standard deviation from the variable age. The standard deviation calculated by software shows
high values, and therefore age variable is spread out over the broader range. The mean of this
variable is 39 years old. The Spearman correlation coefficient of income and calorie evaluation is
+0.912 showing that revenue is directly proportional to the level of calorie evaluated from a person.
Similarly, the Pearson coefficient correlation depicted from the software between the variables;
the temperature of food product and calorie evaluation is -0.567 .therefore, the correlation between
temperatures of the food product is inversely proportional. The curve of income against calorie
evaluation is typical, with colossal variance and a standard deviation. And the coefficient of
variation is more significant than one, an indication of considerable conflict.
Based on dataset 2, there is a significant correlation between the temperature of the food
product and the calorie evaluation. As can be seen clearly from the analysis, when the temperature
increases, the number of calories detected increases. Similarly, a decrease in temperature has a
direct impact on the reduction of calorie evaluation. Based on analysis from jamovi software, the
calorie content increases with age and, therefore, a direct relationship. As one becomes more
elderly, the higher chances of having higher calorie levels.
The other factor evident from the analysis is that calorie levels are proportional to the level
of income. Income affects the type of food product one consumes and the lifestyle one is leading.

DATA ANALYSIS

5

For instance, when the income level is higher, the lifestyle tends to be more sophisticated because
such kinds of food are affordable to them. And when consumed over time, there is a high chance
of accumulating so much calorie in the body and hence can be observed when evaluated. On the
other hand, rich in calories is considered a luxury by those whose income is much lower. They
tend to work extra hard to burn away the calorie through rigorous activities they undertake in dayto-day life. From the analysis of the data given, it is evident that their income level directly
correlates with the calorie levels within a person. The calorie evaluation result is different for both
genders as it shows similarity across the gender
Dataset 2: marketing implications of the analysis found
Based on the findings from dataset2. Age is an essential factor when consuming food
products with calories. Since these food products are a source of carbohydrates and starch, younger
people require a lot more of the products than older people to sustain the tedious activities they
undertake in day to day lives; therefore, it implies that marketing of such products should be given
priority to younger persons than the elder, for the elder too much of such products would lead to
health implications. Therefore they are not suited for many of these products. Therefore older
people may not form a strong customer/consumer base as opposed to the young. Thus, the
demographic analysis is essential to sourcing a stable market with most young people as they form
the crucial consumers of these products.
The income of the consumers matters a lot when marketing products as this aspect would
enhance sales. The level of payment of a person is directly proportional to the quantity and type
of product purchased by an individual. Therefore, it affects the marketability of food products.
From the law of demand, the demand for inferior goods is inversely proportional to income. Still,
the market and revenue have a direct proportionality for most cases, which applies to this scenario.

DATA ANALYSIS

6

And therefore, it is essential to consider the general income and the affordability of this kind of
food product. The available market income has a direct implication on the marketing of food
products with calories. An increase in prevailing market income increases the demand for food
products with calories. On the other hand, a decrease in available market income decreases the
need for the products at a constant price.
From the analysis, the ratio between the gender and the calorie is not the same; therefore,
products with calorie has some implications to gender as the evaluation results show that different
gender pursues it differently. Men will tend to have results showing minimal results about calorie
evaluation based on the fact that the majority of men undertake physical activities than female;
hence it is worth noting that marketing of food products will do better with a male as they will
form the basic consumption unit as compared to the females. The physical activities undertaken
by males do require well-sustained energy derived from food products that contain calorie.
Similarly, with age pursued as the primary variable in this dataset, too much calorie content
within the product brings about fear of having complications with the general health of the children
below eight years. Therefore it is prudent to have moderation of food supply with calorie to help
prevent various diet implications brought by these effects. On the other hand, youth require many
food products with calorie content to help maintain their energy supplementation during vigorous
activities. And hence there is a favourable implication to the marketing of food products with
calories.

DATA ANALYSIS

7
References

Bates, K., Burton, S., Howlett, E., & Huggins, K. (2009). The roles of gender and motivation as
moderators of the effects of calorie and nutrient information provision on away‐from‐
home foods. Journal of consumer affairs, 43(2), 249273.https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1745-6606.2009.01139.x
Brannen, M. Y., Piekkari, R., & Tietze, S. (2017). The multifaceted role of language in
international business: Unpacking the forms, functions and features of a critical challenge
to MNC theory and performance. In Language in international business (pp. 139-162).
Palgrave Macmillan, Cham.https://link.springer.com/chapter/10.1007/978-3-319-427454_6
Brown, G. (2019). Factor Analysis: A course using Jamovi &
lavaan.https://auckland.figshare.com/collections/Factor_Analysis_A_course_using_Jamo
vi_lavaan/4643132
Dinnie, K. (2015). Nation branding: Concepts, issues, practice.
Routledge.https://books.google.co.ke/books?hl=en&lr=&id=vhzCgAAQBAJ&oi=fnd&pg=PP1&ots=-XrTPnylUh&sig=8cmuivQlNw0yJRlfaj2sVoxr_4&redir_esc=y#v=onepa...

Similar Content

Related Tags