代写24309 Marketing Research代写留学生Matlab语言

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24309 Marketing Research

Review Lecture

2023

Question 1.i

The ANPM bookstore has recorded the amount spent by each member on its online gift-shop over the past few years. The bookstore has figures for each individual member for their individual spending amounts from last year compared to this year.

Q1. Part i.) What is the null and alternative hypothesis to test whether the average amount spent by a member last year is significantly less than the average amount spent by a member this year?

As a result, which is the correct null or alternative hypothesis from the following listed:

(a) Ho: (mu2022 – mu2023) <=0

(b) Ho: (mu2022 – mu2023) <0

(d) Ha: (mu2022 – mu2023) <0

Question 1.ii

Q1.Part ii) What would be the most appropriate way to conduct this test?

(a) ANOVA

(b) Independentsamples t-test

(d) Regression analysis

Question 2:

• A review is made in relation to waiting time for public hospitals. The following results were reported to compare waiting times across the four states

ANOVA
Source of Variation	SS	df	MS	F	P-value	F crit
Between Groups	18924.72	3	6308.241	7.20537	9.32E-05	2.619655
Within Groups	528796.9	604	875.4916
Total	547721.6	607

What can you conclude based on the Analysis of Variance output (with α=.05):

a) The states are significantly different in terms of the amount of variability in waiting times

b) The states are not significantly different in terms of the amount of variability in waiting time

c) The states are significantly different in terms of mean waiting times

d) The states are not significantly different in terms of mean waiting times

Question 3:

You have been asked to assess whether the claim amount (in dollars) made by an insurance client can be predicted on the basis of the clients age (in years) and their gender (dummy coded). You look at the table of coefficients to see whether these relationships hold, but see your regression output has produced the following table:

ANOVA
	df	SS	MS	F	Significance F
Regression	4	28189329349	7047332337	863.6142	0
Residual	1480	12077212655	8160278.821
Total	1484	40266542003

Which is correct?

(a) The ANOVA confirms that age and gender both are significant predictors of claim amounts

(b) The ANOVA suggests that age and gender both are not significant predictors of claim amounts

(d) The ANOVA suggests that only age is a significant predictor of claim amounts

Question 4:

Coefficients		tandard Err	t Stat	P-value
Intercept	104572	357.7437	292.3099	0
Advertising Spend	1.954033	0.063322	30.85887	7.3E-162
Our Price	-2.92143	0.063665	-45.8875	1.1E-286
Competitors Price	1.10515	0.06307	17.52258	1.29E-62
Interest Rates	37.5435	259.5	0.144676	0.884986

• Assume that sales is the dependent variable in the above regression output, a one unit increase in advertising spend will:

(a) Decrease sales by 1.95 units, a significant impact

(b) Decrease sales by 1.95 units, but this is not a significant impact

(d) Increase sales by 1.95 units, but this is not a significant impact

Question 5:

Data was collected on a person’s age and their drink preferences and this “observed” data is in the table below.

		Coffee/tea	Soft drink	Other (milk etc.)	Total
Age Groups	21-34	26	95	18	139
	35-55	41	40	20	101
	>55	24	13	32	69
	Total	91	148	70	309

5a). What is the probability a person will drink soft drink, given they are more than 55 years of age?

(a) 4.2%

(b) 8.8%

(d) 18.8%

Question 5:

Data was collected on a person’s age and their drink preferences and this

“observed” data is in the table below.

		Coffee/tea	Soft drink	Other (milk etc.)	Total
Age Groups	21-34	26	95	18	139
	35-55	41	40	20	101
	>55	24	13	32	69
	Total	91	148	70	309

5b) If the events of age and drinking preference were independent events, what

would be the expected number of a person’s you would observe who drink soft drink and are more than 55 years of age?

(a) 13

(b) 18

(d) Unsure

Question 5:

Data was collected on a person’s age and their drink preferences and this “observed” data is in the first table below.

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Responding in short answer format

• When you are asked about which market research technique to use, you

can simply provide a one to three word answer. There is no need to provide any further information or justification of your choice.

• For example, the following techniques could be a suitable response: Independent samples t-test

ANOVA

Paired samples t-test

Linear regression

Logistic regression

Multinomial regression Contingency analysis

Levene’s test of equal variances

Question 6. Part I:

Data was collected on a person’s age and their drink preferences. The

following conditional probabilities and marginal probabilities were formulated from the “observed” data: