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I posted a marketing research assignment. Please finish it. It worth 35 marks. I have to get at least 28. I post some PowerPoint which from our class. I hope I can help you to do this order. Please no plagiarism thx.

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Week 12: Video 1 INDEPENDENT SAMPLES Do people of different ages perceive Car A differently? Age:      18-25 26-34 35-49 50-59 60 and Over  Independent samples are two or more groups of responses that are tested as though they come from different populations e.g. Responses from people in different age groups  A respondent can only belong to one group  Compares responses between the groups MORE THAN TWO INDEPENDENT SAMPLES PARAMETRIC Test Variable One-Way ANOVA NON-PARAMETRIC Kruskal-Wallis Test Grouping Variable More than 2 Groups Test Variable Grouping Variable More than 2 Groups A restaurant would like to know how they can better serve different demographic groups. In order to know where to start, they would first like to know which age cohorts are likely to return to the restaurant after an initial dining experience Hypothesis: H0: There is no difference in likelihood to return between the different age cohorts H1: There is a difference in likelihood to return between the different age cohorts Test Variable Grouping Variable Age: Likelihood to Return      18-25 26-34 35-49 50-59 60 and Over Hypothesis: H1: There is a difference in likelihood to return between the different age cohorts Sample means The means are different. But are they significantly different? Sig is the p-value for the ANOVA. If this is significant it tells us that at least two of the groups means are different.  Post hoc multiple comparisons tests allow us to determine which groups are statistically different. Pairs with significant p-values are significantly different  The homogenous Subsets table provides information similar to that in the Multiple Comparisons table. Groups in the same subset are not statistically different Hypothesis: H0: There is no difference in likelihood to return between the different age cohorts H1: There is a difference in likelihood to return between the different age cohorts Mean Group 1 (18-25) = 4.90 Mean Group 2 (26-34) = 4.71 α = 0.05 Mean Group 3 (35-49) = 4.68 p = 0.000 Mean Group 4 (50-59) = 3.75 Mean Group 5 (60+) = 4.53 p < α, we can conclude that there is a statistically significant difference in likelihood to return between the different age cohorts. 50-59 year olds are significantly less likely than any other age group to return to the restaurant. Hypothesis 1 is therefore supported. Hypothesis: H1: There is a difference in likelihood to return between the different age cohorts A One-way ANOVA was conducted to explore differences in likelihood to return to the restaurant between different age cohorts. It was revealed that there was a significant difference in likelihood to return across the 5 age groups (p=0.000). A Tukey post hoc test indicated that 50-59 year olds were significantly less likely to return (Mean = 3.75) than any other age group (Means = 4.9, 4.71, 4.68, and 4.53). There were no significant differences in likelihood to return between the other age groups. The null hypothesis is rejected and H1 is therefore supported. A restaurant would like to know if the atmosphere in the restaurant is appealing to all age groups. Hypothesis: H0: There is no difference in attitude towards the restaurant’s atmosphere between the different age cohorts H2: There is a difference in attitude towards the restaurant’s atmosphere between the different age cohorts Test Variable Grouping Variable Age: Atmosphere      18-25 26-34 35-49 50-59 60 and Over Hypothesis: H2: There is a difference in attitude towards the restaurant’s atmosphere between the different age cohorts Mean Rank instead of sample means Mean ranks are different. But are they significantly different? Asump. Sig. is the p-value for the KruskalWallis test. If this is significant it tells us that there are significant differences between the groups. Hypothesis: H2: There is a difference in attitude towards the restaurant’s atmosphere between the different age cohorts A Kruskal-Wallis test was conducted to explore differences in attitudes towards the restaurant’s atmosphere between different age cohorts. It was revealed that there was a significant difference attitudes towards the restaurant’s atmosphere across the 5 age groups (p=0.020). The older cohorts, 50-59 and 60 and Over age groups, appear to have less favourable attitudes towards the restaurant’s atmosphere than the younger age groups. The null hypothesis is rejected and H2 is therefore supported. Week 12: Video 2 A restaurant would like to know how they can better serve different demographic groups. In order to know where to start, they would first like to know which age cohorts are likely to return to the restaurant after an initial dining experience Hypothesis: H0: There is no difference in likelihood to return between the different age cohorts H1: There is a difference in likelihood to return between the different age cohorts MORE THAN TWO INDEPENDENT SAMPLES PARAMETRIC Test Variable One-Way ANOVA NON-PARAMETRIC Grouping Variable More than 2 Groups Test Variable Kruskal-Wallis Test  Analyze  Descriptive Statistics  Explore Grouping Variable More than 2 Groups Are consumers of different ages more likely to return to dine at the restaurant? Test Variable Grouping Variable 5 Groups Age: Likelihood to Return: 1 = Not Likely at All 7 = Highly Likely      18-25 26-34 35-49 50-59 60 and Over = One-Way ANOVA  Analyze  Compare Means  One-Way ANOVA Hypothesis: H1: There is a difference in likelihood to return between the different age cohorts Means P-value Hypothesis: H1: There is a difference in likelihood to return between the different age cohorts Look for significant p-values (that is, p-values < 0.05) Hypothesis: H1: There is a difference in likelihood to return between the different age cohorts Groups in different subsets are significantly different, groups in the same subsets are not significantly different. A restaurant would like to know if the atmosphere in the restaurant is appealing to all age groups. Hypothesis: H0: There is no difference in attitude towards the restaurant’s atmosphere between the different age cohorts H2: There is a difference in attitude towards the restaurant’s atmosphere between the different age cohorts MORE THAN TWO INDEPENDENT SAMPLES PARAMETRIC Test Variable One-Way ANOVA NON-PARAMETRIC Grouping Variable More than 2 Groups Test Variable Kruskal-Wallis Test  Analyze  Descriptive Statistics  Explore Grouping Variable More than 2 Groups Are consumers of different ages more likely to return to dine at the restaurant? Test Variable Grouping Variable 5 Groups Age:      18-25 26-34 35-49 50-59 60 and Over = Kruskal-Wallis Test  Analyze  Nonparametic Tests  Legacy Dialogs  K Independent Samples Hypothesis: H2: There is a difference in attitude towards the restaurant’s atmosphere between the different age cohorts Mean Ranks P-value
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NEWCASTLE BUSINESS SCHOOL
SUPPLEMENTARY ASSESSMENT

Newcastle City
Semester 2, 2017

MKTG2010 Marketing Research

Special Instructions:


The supplementary assessment has two (2) sections.



Answer ALL the questions in each section.



This task is worth a total of 35 marks.

Section A (15 marks)

Short Answers



Burlay is a new brand of perfume. The brand manager for Burlay would like to get
consumer opinions regarding: a) the likelihood of purchasing Burlay perfume; b)
perceptions that the perfume smells nice; and c) whether or not Burlay perfume is
perceived to be good value. Design a scale to measure each of these concepts. Use
either a Likert scale, Semantic Differential scale, or Behavioural Intention scale where
appropriate. (5 marks)

a. I would buy the perfume again


Very Likely



Likely



Neutral



Not Likely



Very Unlikely

b. The perfume has a pleasant smell


Strongly Agree



Agree



Neither Agree Nor Disagree



Disagree



Strongly Disagree

c. I would recommend Burlay to friends
• Very Likely
• Likely

• Neutral
• Not Likely
• Very Unlikely



A marketing researcher employed by Burlay has chosen to conduct a laboratory
experiment that aims to determine the effect of the perfume’s scent on an individual’s
attitude towards the brand Burlay. Please answer the following: (a) Identify the
dependent and independent variable in this study, and one (1) extraneous variable that
may influence the results; (b) Draw a conceptual model to indicate the relationships
betwee...


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