Consumer Survey Analysis Strategy

00:00 5 marks

  • Build Confidence
  • SL & HL
  • Tier 3
  • Mean
  • Median
  • Interquartile Range
  • Grouped Data Analysis

A company conducted a consumer survey and collected data on annual income ranges for its customers. The data is summarized in the following table (in USD):

Income Range Frequency
20000-30000 5
30000-40000 12
40000-50000 20
50000-60000 8
60000-70000 5

Using this data:

(a) Summarize the data by calculating the mean, median, and interquartile range (IQR).

(b) Based on your statistical findings, propose a marketing decision to target the most relevant consumer segment.

Part a

4 minutes 3 marks

Question

Summarize the consumer survey data by computing the mean, median, and interquartile range (IQR). Use the provided frequency table of income ranges:

Income Range Frequency
20000-30000 5
30000-40000 12
40000-50000 20
50000-60000 8
60000-70000 5

Show all calculations for grouped data measures.



Hint Hint

Hint

Remember to use class midpoints for the mean and cumulative frequencies for median and quartile identification.

  • Answer Answer

Complete Answer

Mean: approximately 44200, Median: approximately 44000, IQR: approximately 14375

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Part b

3 minutes 2 marks

Question

Based on the statistical summary from part (a), propose a marketing decision to effectively target the consumer segment represented in the survey data. Justify your decision using the computed measures.



Hint Hint

Hint

Consider how the similarity between the mean and median indicates a symmetric distribution and what a moderate IQR implies about income variability.

  • Answer Answer

Complete Answer

Given the mean income of approximately $44,200 and a median income of approximately $44,000, the income distribution is roughly symmetric, suggesting a central income group. The IQR of approximately $14,375 indicates a moderate spread of income. A marketing strategy focusing on products or services priced in the mid-range, appealing to the average income group, would be most effective. This could involve highlighting value for money and targeting marketing efforts towards channels frequented by a broad income demographic.

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