We would like to investigate whether there is a relationship between weather conditions and the inci dence of violent crime. We classified 1361 homocides according to the season, resulting in the following data: Winter Spring Summer 340 395 358 268 Test the null hypothesis of equal proportions using a significance level of a = 0.01.
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![1. We would like to investigate whether there is a relationship between weather conditions and the inci-
dence of violent crime. We classified 1361 homocides according to the season, resulting in the following
data:
Winter Spring Summer Fall
340
395
358
268
Test the null hypothesis of equal proportions using a significance level of a = 0.01.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F5fc235f5-c6fd-4e1c-bac8-7d394d2e8123%2F30891083-5adf-4fc3-a5b0-9f9ab17b9fc3%2F6p5l4xo_processed.png&w=3840&q=75)
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- Five samples of a ferrous-type substance were used to determine if there is a difference between a laboratory chemical analysis and an X-ray fluorescence analysis of the iron content. Each sample was split into two subsamples and the two types of analysis were applied, with the accompanying results. Assuming that the populations are normal, test at the 0.02 level of significance whether the two methods of analysis give, on the average, the same result. Click here to view the sample analyses. Click here to view page 1 of the table of critical values of the t-distribution. Click here to view page 2 of the table of critical values of the t-distribution. Let sample 1 be the X-ray fluorescence results and let sample 2 be the laboratory chemical results. State the null and alternative hypotheses. Ho: HD H1: HD + Identify the critical region. Select the correct choice below and fill in the answer box(es) to complete your choice. (Round to three decimal places as needed.) O A. t> В. t O C. t<Five samples of a ferrous-type substance were used to determine if there is a difference between a laboratory chemical analysis and an X-ray fluorescence analysis of the iron content. Each sample was split into two subsamples and the two types of analysis were applied, with the accompanying results. Assuming that the populations are normal, test at the 0.02 level of significance whether the two methods of analysis give, on the average, the same resultFive samples of a ferrous-type substance were used to determine if there is a difference between a laboratory chemical analysis and an X-ray fluorescence analysis of the iron content. Each sample was split into two subsamples and the two types of analysis were applied, with the accompanying results. Assuming that the populations are normal, test at the 0.10 level of significance whether the two methods of analysis give, on the average, the same result.
- Five samples of a ferrous-type substance were used to determine if there is a difference between a laboratory chemical analysis and an X-ray fluorescence analysis of the iron content. Each sample was split into two subsamples and the two types of analysis were applied, with the accompanying results. Assuming that the populations are normal, test at the 0.05 level of significance whether the two methods of analysis give, on the average, the same result. Determine the test statistic t=?15. Samples of pages were randomly selected from three different novels. The Flesch Reading Ease scores were obtained from each page, and the TI -83/84 Plus calculator results from analysis of variance are given below. Use a 0.01 significance level to test the claim that the three books have the same mean Flesch Reading Ease score. One-way ANOVA F = 2.63411669884 P = 0.0877903995 Factor Df = 2 SS = 389.080864 MS = 194.540432 Error Df = 31 SS = 2289.47844 MS = 73.8541431 Sxp = 8. 59384333 Identify the null hypothesis, alternate hypothesis, test statistic, P-value, conclusion about the null hypothesis, and conclusion that addresses the original claim.A chi-square test for homogeneity was conducted to investigate whether the four high schools in a school district have different absentee rates for each of four grade levels. The chi-square test statistic and pp-value of the test were 19.02 and 0.025, respectively. Which of the following is the correct interpretation of the pp-value in the context of the test?
- A group of researchers collected multiple individuals of the toad Bufo americanus, the frog Rana pipiens, and the salamander Ambystoma laterale from a small area of Wisconsin. They dissected the amphibians and counted the number of parasitic helminth worms in each individual. The researchers wanted to know if the mean number of worms per individual is significantly different among the three species. What statistical test is most appropriate to answer the research objective? a. Kruskal-Wallis Test b. Wilcoxon Signed Ranks Test c. Mann-Whitney U Test d. Chi-Square Test3. 500 randomly selected university students were selected for a study on smoking status and stress levels. At the time of the study, students were asked to rate their stress levels on a scale of 0 - 100 with O indicating no stress. Students were also asked to disclose whether they were a non-smoker, a light smoker, or a heavy smoker. Of the 500 students, 75 identified themselves as heavy smokers, 150 identified themselves as light smokers, and 275 identified themselves as non-smokers. The average stress level reported for heavy smokers was 60.4. The average stress level reported for light smokers was 45.7. The average stress level reported by non-smokers was 56.6. Based on these results, which of the following statements is true? On average, heavy smokers have stress values of 3.8 times the stress levels of non-smokers On average, heavy smokers have stress values of 3.8 less than non-smokers On average, heavy smokers have stress values of 3.8 times less than the stress levels of…Which of these reports of statistical results are in appropriate APA format? a. + = 2.8, df = 4, fail to reject null b. + = 2.8, df = 4, reject null c. + = 2.8 df = 5, p < 0.05 d. + (4) = 2.8, p < 0.05
- 9.15 HPV infections in women. Human papillomavirus (HPV) infection is the most common sexually transmitted infection. Certain types of HPV can cause genital warts in both men and women and cervical cancer in women. The U.S. National Health and Nutrition Examination Survey (NHANES) contacted a representative sample of 1921 women between the ages of 14 and 59 years and asked them to provide a self-collected vaginal swab specimen. Of these specimens, 515 tested positive for HPV, indicating a current HPV infection. a. Give the probability, risk, and odds that a randomly selected American woman between the ages of 14 and 59 years has a current HPV infection. b. The survey broke down the data by age group: Age group (years) 14–19 20-24 25–29 30–39 40-49 50–59 Percent HPV positive 24.5 44.8 27.4 27.5 25.2 19.6 Give the risk and the odds of being HPV positive for women in each age group. Which age group has the highest risk, and has the highest odds, of testing positive for HPV?Determine the following: • Claim • Computation • Decision (Reject Ho or failed to reject Ho) • Conclusion10.33 Soil pH is an important variable in the design of structures that will contact the soil. The pH at a potential construction site was said to average 6.5. Nine test samples of soil from the site gave readings of 7.3, 6.5, 6.4, 6.1, 6.0, 6.5, 6.2, 5.8, 6.7 Do these readings cast doubt upon the claimed average? (Test at the 5% significance level.) What assumptions are necessary for this test to be valid? S PhotoGrid
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