The histogram shown summarizes the responses of 100 people when asked, “what was the price of the last meal you purchased?”

the histogram shown summarizes the responses of 100 people when asked, “what was the price of the last meal you purchased?”

The histogram analysis of the responses regarding meal prices:

Response Summary:
The histogram presented visualizes the collective responses obtained from 100 individuals when inquired about the cost of their most recent meal purchase. This graphical representation provides insight into the distribution of the responses and allows for a quick understanding of the data.

Interpretation:
Histograms are useful tools for visually summarizing large sets of data. In this case, the histogram likely displays different price ranges on one axis and the frequency of responses for each range on the other. The shape of the histogram, whether it is symmetric, skewed, or uniform, can give us clues about the common prices people pay for meals.

Central Tendency:
By analyzing the histogram, one can identify the central tendency of the data. The central tendency provides a representative value that best describes the set of data. Common measures of central tendency include the mean, median, and mode, which can be estimated from the histogram.

Dispersion:
In addition to central tendency, histograms can help determine the dispersion or spread of the data. A wider histogram indicates greater variability in meal prices, while a narrow histogram suggests a more consistent pricing range among the respondents.

Outliers:
Histograms also assist in identifying outliers, which are values significantly different from the rest of the data. Outliers in meal prices could indicate unusually expensive or inexpensive purchases that deviate from the typical spending habits of the respondents.

Conclusion:
In conclusion, the histogram depicting responses to the question about meal prices from 100 individuals serves as a valuable visual aid for understanding the distribution, central tendency, dispersion, and outliers within the dataset. Analyzing this histogram enables researchers to draw meaningful conclusions about the pricing patterns and behaviors of the surveyed group.