Frequency. f A researcher claims that the number of homicide crimes by season is uniformly distributed. To test this claim, you randomly select 1,194 homicides from a recent year and record the season when each happened. The table shows the results. At a 0.05, test the researcher's claim. Season Spring Summer Fall Winter 302 312 295 285 State H, and H, and identify the claim Họ: The distribution of the number of homicide crimes by season (1) H, The distribution of the number of homicide crimes by season (2) Which hypothesis is the claim? O Ho O H, Calculate the test statistic. (Round to three decimal places as needed.) Determine the Pvalue. P.value (Round to three decimal places as needed.) Decide whether to reject or fail to reject the null hypothesis and interpret the decision in the context of the original claim. (3). - - Ho. There (4) . by season (5). enough evidence at the 5% level of significance to reject the claim that the distribution of the number of homicide crimes is uniformly distributed. O differs from the expected. O is not uniformly distributed. O is the same as the expected (1) O differs from the expected. (4) O is not Ois (2) O differs from the expected. O is uniformly distributed. O is not uniformly distributed O is the same as the expected. (3) O Reject (5) O O Fail to reject O is the same as the expected O is not uniformly distributed. O is uniformly distributed

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A researcher claims that the number of homicide crimes by season is uniformly distributed. To test this claim, you randomly select 1,194 homicides from a recent year and record the season when each happened.
Frequency, f
302
6.
Season
The table shows the results. At a = 0.05, test the researcher's claim.
Spring
Summer
312
295
285
Fall
Winter
State H, and H, and identify the claim.
Họ: The distribution of the number of homicide crimes by season (1)
H,: The distribution of the number of homicide crimes by season (2)
Which hypothesis is the claim?
O Ho
о на
Calculate the test statistic.
x =
(Round to three decimal places as needed.)
Determine the P-value.
P-value =
(Round to three decimal places as needed.)
Decide whether to reject or fail to reject the null hypothesis and interpret the decision in the context of the original claim.
(3)
Ho. There (4)
enough evidence at the 5% level of significance to reject the claim that the distribution of the number of homicide crimes by season (5)
O Reject
O Fail to reject
(1) O differs from the expected.
O is the same as the expected.
O is not uniformly distributed.
O is uniformly distributed.
(2) O differs from the expected.
O is uniformly distributed.
O is not uniformly distributed.
O is the same as the expected.
(5) O is uniformly distributed.
O differs from the expected.
O is not uniformly distributed.
O is the same as the expected.
(4) O is not
O is
(3)
Transcribed Image Text:Print A researcher claims that the number of homicide crimes by season is uniformly distributed. To test this claim, you randomly select 1,194 homicides from a recent year and record the season when each happened. Frequency, f 302 6. Season The table shows the results. At a = 0.05, test the researcher's claim. Spring Summer 312 295 285 Fall Winter State H, and H, and identify the claim. Họ: The distribution of the number of homicide crimes by season (1) H,: The distribution of the number of homicide crimes by season (2) Which hypothesis is the claim? O Ho о на Calculate the test statistic. x = (Round to three decimal places as needed.) Determine the P-value. P-value = (Round to three decimal places as needed.) Decide whether to reject or fail to reject the null hypothesis and interpret the decision in the context of the original claim. (3) Ho. There (4) enough evidence at the 5% level of significance to reject the claim that the distribution of the number of homicide crimes by season (5) O Reject O Fail to reject (1) O differs from the expected. O is the same as the expected. O is not uniformly distributed. O is uniformly distributed. (2) O differs from the expected. O is uniformly distributed. O is not uniformly distributed. O is the same as the expected. (5) O is uniformly distributed. O differs from the expected. O is not uniformly distributed. O is the same as the expected. (4) O is not O is (3)
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