average household income in anytown\nanytown households that earn more than $75,000 tend to buy sports…

average household income in anytown\nanytown households that earn more than $75,000 tend to buy sports equipment, while households that earn less than $75,000 tend to buy tvs. which new business would be most likely to succeed?\n a car dealership\n an electronics store\n an office supply store\n a sporting goods store

average household income in anytown\nanytown households that earn more than $75,000 tend to buy sports equipment, while households that earn less than $75,000 tend to buy tvs. which new business would be most likely to succeed?\n a car dealership\n an electronics store\n an office supply store\n a sporting goods store

Answer

Explanation:

Step1: Analyze income level counts

From the bar graph, count households with income <$75k (sum of "50 - 75,000", "$25,000 - 50,000") and ≥$75k (sum of "$75,000 - 100,000", "$100,000 and above", "$50,000 - 75,000"? Wait, no: income levels are "50 - 75,000", "$25,000 - 50,000", "$50,000 - 75,000"? Wait, labels: first bar: "50 - 75,000"? Wait, x-axis labels: "50 - 75,000", "$25,000 - 50,000", "$50,000 - 75,000"? No, recheck: x-axis: "50 - 75,000", "$25,000 - 50,000", "$50,000 - 75,000"? Wait, no, the labels are: first bar: "50 - 75,000"? Wait, the x-axis has categories: "50 - 75,000", "$25,000 - 50,000", "$50,000 - 75,000"? No, maybe typo: let's see the heights. The first bar (50 - 75k) is ~25k, second ($25k - 50k) ~15k, third ($50k - 75k? No, third is "50,000 - 75,000"? Wait, no, the third bar is labeled "50,000 - 75,000"? Wait, the problem says "households that earn more than $75,000" (so ≥$75k: "$75,000 - 100,000", "$100,000 and above") and "less than $75,000" (so <$75k: "50 - 75,000", "$25,000 - 50,000", maybe another? Wait, the bar graph has five categories: "50 - 75,000", "$25,000 - 50,000", "$50,000 - 75,000"? No, maybe the first is "0 - 25,000"? Wait, the y-axis is number of households. Let's count the number of households with income <$75k: sum of bars for income levels below $75k (e.g., "0 - 25,000", "$25,000 - 50,000", "$50,000 - 75,000")? Wait, the x-axis labels: first bar: "50 - 75,000"? No, the first label is "50 - 75,000", second "$25,000 - 50,000", third "$50,000 - 75,000"? No, this is confusing. Wait, the key is: households earning less than $75k tend to buy TVs (electronics), more than $75k buy sports equipment. Now, count the number of households in each group. The bars for <$75k: let's see the heights. The first bar (maybe "0 - 25k")? Wait, no, the first bar is labeled "50 - 75,000" with height ~25k, second "$25,000 - 50,000" ~15k, third "50,000 - 75,000"? No, third bar is the tallest, ~30k. Wait, maybe the third bar is "50,000 - 75,000"? No, the problem says "households that earn more than $75,000" (so two bars: "$75,000 - 100,000" and "$100,000 and above") with heights ~15k and ~10k, total ~25k. The households earning less than $75k: sum of the other three bars: ~25k (first) + ~15k (second) + ~30k (third) = ~70k. So more households earn less than $75k (so buy TVs, which are electronics) than more than $75k (buy sports equipment). So an electronics store (which sells TVs) would target the larger group. Now, the options: car dealership (not related), electronics store (TVs, target <$75k, larger group), office supply (no), sporting goods (target >$75k, smaller group). So electronics store is better.

Step2: Evaluate business options

  • Car dealership: Not related to TV or sports equipment buying patterns.
  • Electronics store: Sells TVs, which households <$75k (larger group) tend to buy.
  • Office supply store: No relation to given buying patterns.
  • Sporting goods store: Targets >$75k (smaller group).

Since more households earn <$75k, electronics store (selling TVs) has a larger target market.

Answer:

B. an electronics store