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The following data set is the age of customers at the ce cream shop: \[ 18,52,42,36,5,31,29,22 \] Find the mode.

Ask by Hilton May. in the United States
Mar 09,2025

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Answer

The data set has no mode because each number appears only once.

Solution

1. We start with the data set: \[ 18,\, 52,\, 42,\, 36,\, 5,\, 31,\, 29,\, 22 \] 2. Next, we review the frequency of each number. In this set, each number appears exactly once. 3. Since no number repeats, there is no value that appears more frequently than the others. Therefore, the data set has no mode.

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Bonus Knowledge

In this data set, each age is unique, with no repetitions. This means that there is no mode, as the mode is defined as the value that appears most frequently. In cases where all values occur with the same frequency, we conclude that the dataset is "mode-less." So grab your favorite scoop of ice cream, and let’s celebrate the uniqueness of every age! You might wonder how to address such datasets in real-life situations, like customer age demographics. In instances where you need to showcase trends or preferences, consider using data visualization techniques, such as histograms or bar charts. These can reveal patterns even when modes aren’t present, giving you valuable insights into age distribution at your ice cream shop!

Related Questions

Question 12(Mulliple Choice Warth 5 points) \[ (04.06 \mathrm{HC}) \] A researcher wants to test the claim that the proportion of juniors who watch television regularly is greater than the proportion of seniors who watch television regularly She finds that 56 of 70 randomly selected juniors and 47 of 85 randomly selected seniors report watching television regularly. Construct \( 95 \% \) confidence intervals for each population proportion. Which of the statemente gives the correct outcome of the research or's tert of the dalim? The \( 95 \% \) confidence interval for juniors is (706, 894), and the \( 95 \% \) confidence interval for seniors is ( 447,659 ). Since the intervals overlap, there is not enough evidence to say the proportion of juniors who watch television regularly may be higher than that of seniors. The \( 95 \% \) confidence interval for juniors is (721, 879), and the \( 95 \% \) confidence interval for seniors is (464, 642). Since the interval for juniors is higher than the interval for seniors, there is evidence to say the proportion of juniors who watch television regularly may be higher than that of seniors. The \( 95 \% \) confidence interval for juniors is ( 706,894 ), and the \( 95 \% \) confidence interval for seniors is ( 447,659 ). Since the interval for juniors is higher than the interval for seniors, there is evidence to say the proportion of juniors who watch television regularly may be higher than that of seniors. The \( 95 \% \) confidence interval for juniors is ( \( 721, .879 \) ), and the \( 95 \% \) confidence interval for seniors is (464, 642). Since the intervals overlap, there is not enough evidence to say the proportion of juniors who watch television regularly may be higher than that of seniors.

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