Sovi.AI - AI Math Tutor

Scan to solve math questions

QUESTION IMAGE

consider the distribution of the numbers of people whose street address…

Question

consider the distribution of the numbers of people whose street address ends in 0, 1, 2, 3, 4, 5, 6, 7, 8, and 9 (the data set has 10 values). complete parts (a) through (d) below.
b. make a sketch of the distribution. choose the correct answer below.
(options with graphs labeled a, b, c, d showing distributions for last digits 0 - 9)
c. would you expect the distribution to be symmetric, left - skewed, or right - skewed? explain
a. the distribution would probably be right - skewed because there is a clear minimum last digit of 0 but no obvious maximum last digit
b. the distribution would probably be left - skewed because the number of street addresses that end in each digit increases as the digits increase
c. the distribution would probably be left - skewed because there are so many long streets, and therefore many more addresses with a last digit closer to 9 than to 0
d. the distribution would probably be symmetric because there are no obvious factors to indicate that any single digit would occur as the last digit more frequently than any other

Explanation:

Brief Explanations

To determine the skewness of the distribution of street address last digits (0 - 9), we analyze the expected frequency of each digit. There's no inherent reason for any digit (0 - 9) to be more frequent than others in street addresses. Without a factor favoring a specific digit, the distribution should be symmetric, as each digit has an equal chance of occurring (or no obvious bias toward higher or lower digits). Option D states this reasoning, while other options suggest skewness (left or right) based on incorrect assumptions (e.g., digits increasing in frequency, or a minimum/maximum bias, which isn't supported here).

Answer:

D. The distribution would probably be symmetric because there are no obvious factors to indicate that any single digit would occur as the last digit more frequently than any other