A fish biologist hypothesizes that the proportion of fish in Lake Ontario that are Black Carp has increased. A study conducted several years ago found that 16% of fish in Lake Ontario were BlackCarp. Of 300 randomly sampled fish from Lake Ontario, the biologist finds that 96 are Black Carp. Select from the following the test that best reflects the biologist's hypothesis.O a. HO : p = 0.32 vs. Ha : p =/= 0.32O b. HO : p = 0.16 vs. Ha : p < 0.16Ос. НО: р 3D0.16 vs. Ha : р> 0.16O d. HO : p = 0.32 vs. Ha : p> 0.32O e. HO : p = 0.16 vs. Ha : p = 0.32

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Answered: A fish biologist hypothesizes that the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Using the same anti-venom study, answer the following questions. A study was done on children (6 months to 18 years of age) who had (nonlethal) scorpion stings. Researchers wanted to know the effectiveness of a new anti-venonm. Each child was randomly assigned to receive a shot of the anti-venom or a placebo shot. Researchers recorded whether or not their condition improved over the next four hours. a. Identify the population for the study. b. Identify the sample for the study. (HINT: See #1) c. Was this an observational study or a controlled experiment? Explain how you know. d. Assuming the rest of the study was well-designed, use your answers to discuss whether it would be reasonable to conclude that the new anti-venom is effective at treating nonlethal scorpion stings in children. For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac). TTTTParagraph Arial 3 (12pt) 三,三,T. 回i:公 E=E= = T T, U HTML CSS O Mashups
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Professors collected data consisting of eye color and gender of statistics students. Among 912 male students, 276 had blue eyes. Among 1102 female students, 372 had blue eyes. Use a 0.01 significance level to test the claim that the proportions of blue eyes are the same for males and females. Complete parts (a) through (c) below. Consider the first sample to be the sample of males and the second sample to be the sample of females. O D. Ho: P₁ = P₂ H₁: P₁ P₂ Identify the test statistic. Z= -1.67 (Round to two decimal places as needed.) Identify the P-value. P-value = 0.095 (Round to three decimal places as needed.) What is the conclusion based on the hypothesis test? O E. Ho: P₁ P₂ H₁: P₁ P₂ The 99% confidence interval is -0.089 (P₁-P₂) < 0.019. (Round to three decimal places as needed.) What is the conclusion based on the confidence interval? F₁ H₂= P₁ = P₂ H₁: P₁ P₂ The P-value is greater than the significance level of α = 0.01, so fail to reject the null hypothesis. There is not…
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A reviewer checks to see if a bag of candy weighs less than advertised (e.g., 100 grams). What is the appropriate test statistic for each scenario a. One sample Z-test b. One sample t-test c. two related samples t-test d. two indepdent samples t-test
You read that a study was conducted as a 3 x2 ANOVA. This study had how many independent variables? Question 12 options: 1 2 5 6
Are America's top chief executive officers (CEOs) really worth all that money? One way to answer this question is to look at row B, the annual company percentage increase in revenue, versus row A, the CEO's annual percentage salary increase in that same company. Suppose that a random sample of companies yielded the following data: Do these data indicate that the population mean percentage difference in corporate revenue (row B) is different from the population mean percentage increase in CEO salary? Use a 1% level of significance. (A) Are the data statistically significant at level α? Will you reject or fail to reject the null hypothesis? Since the interval containing the P-values has values that are larger than the level of significance, the data are not statistically significant and so we fail to reject the null hypothesis. (a)Since the interval containing the P-values has values that are larger than the level of significance, the data…
RA company that manufactures car tires wants to compare breaking performance on dry and wet pavements for a brand of their tires. They selected a random sample of 10 sets of tires and put them on 10 cars. The stopping distance (ft) on dry pavement and wet pavement was recoded for each car. The results are summarized in the table below. Car 2. 4 8 9. 10 Dry 152 148 135 130 134 133 128 136 136 157 Wet 202 220 194 146 182 172 201 180 192 204 Do the data provide enough evidence to conclude that the average breaking performance is lower on wet naYement for this tire brand? Use the rejection point method. Use a 0.05.
c. this test statistic for data = d. the p-value for this sample =
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When we test the hypothesis that the population proportions are equal, we can use the Z test for a one-sided as well as a two-sided alternative. Select one: a. False b. True C. Not sure

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