an article about the California lottery gave the following information on the age distribution of adults in California: 35% are between 18 and 34 years old, 51% are between 35 and 64 years old, and 14% are 65 years old or older. The article also gave information on the age distribution of those who purchase lottery tickets. The following table is consistent with the values given in the article. Suppose that the data resulted from a random sample of 200 lottery ticket purchasers. Based on these sample data, is it reasonable to conclude that one or more of these three age groups buys a disproportionate share of lottery tickets? Use a chi-square goodness-of-fit test with a = 0.05. (Round your answer to two decimal places.) Age of Purchaser Frequency 18-34 37 35-64 101 65 and over 62 x² = 48.85 P-value interval p < 0.001 0.001 < p < 0.01 O 0.01 s p < 0.05 O 0.05 ≤ p < 0.10 Op 2 0.10 X The data provide strong evidence to conclude that one or more of the three age groups buys a disproportionate share of lottery tickets.

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An article about the California lottery gave the following information on the age distribution of adults in California: 35% are
between 18 and 34 years old, 51% are between 35 and 64 years old, and 14% are 65 years old or older. The article also
gave information on the age distribution of those who purchase lottery tickets. The following table is consistent with the
values given in the article. Suppose that the data resulted from a random sample of 200 lottery ticket purchasers. Based on
these sample data, is it reasonable to conclude that one or more of these three age groups buys a disproportionate share of
lottery tickets? Use a chi-square goodness-of-fit test with a = 0.05. (Round your answer to two decimal places.)
x² = 48.85
Age of Purchaser Frequency
18-34
37
35-64
101
65 and over
62
P-value interval
P < 0.001
0.001 < p < 0.01
O 0.01 < p < 0.05
O 0.05 < p < 0.10
Op ≥ 0.10
X
The data provide
strong evidence to conclude that one or more of the three age groups buys a
disproportionate share of lottery tickets.
Transcribed Image Text:An article about the California lottery gave the following information on the age distribution of adults in California: 35% are between 18 and 34 years old, 51% are between 35 and 64 years old, and 14% are 65 years old or older. The article also gave information on the age distribution of those who purchase lottery tickets. The following table is consistent with the values given in the article. Suppose that the data resulted from a random sample of 200 lottery ticket purchasers. Based on these sample data, is it reasonable to conclude that one or more of these three age groups buys a disproportionate share of lottery tickets? Use a chi-square goodness-of-fit test with a = 0.05. (Round your answer to two decimal places.) x² = 48.85 Age of Purchaser Frequency 18-34 37 35-64 101 65 and over 62 P-value interval P < 0.001 0.001 < p < 0.01 O 0.01 < p < 0.05 O 0.05 < p < 0.10 Op ≥ 0.10 X The data provide strong evidence to conclude that one or more of the three age groups buys a disproportionate share of lottery tickets.
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