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- Two samples from the same population both have M = 84 and s2 = 20, however one sample has n = 10 and the other has n = 20 scores. Both samples are used to evaluate a hypothesis that μ = 80 and to compute Cohen’s d. How will the outcomes for the two samples compare [Explain your answer]? The larger sample is more likely to reject the hypothesis and will produce a larger value for Cohen’s d. The larger sample is more likely to reject the hypothesis but the two samples will have the same value for Cohen’s d. The larger sample is less likely to reject the hypothesis and will produce a larger value for Cohen’s d. The larger sample is less likely to reject the hypothesis but the two samples will have the same value for Cohen’s d.1. The rent of a condo unit was ₱1,200.00 for one night, to be shared equally by a group of female friends, who will be having their get together in the condo unit. At the last minute, four people decided not to go to the party, thus raising the cost to each girl by ₱400.00. How many girls attended the get-together? 2. Joy went to her province with her van, driving 300 km at a certain average speed. Had she traveled 10 kilometers per hour, the trip would have taken 1 hour less. Compute for Joy’s average rate.i asked this question but it was wrong. The answer they gave was z=2.411 and p value = .102 In a survey of families in which both parents work, one of the questions asked was, "Have you refused a job, promotion, or transfer because it would mean less time with your family?" A total of 200 men and 200 women were asked this question. "Yes" was the response given by 27% of the men and 22% of the women. Based on this survey, can we conclude that there is a difference in the proportion of men and women responding "yes" at the 0.05 level of significance? (Use Men − Women.) (a) Find z. (Round your answer to two decimal places.) Find the p-value. (Round your answer to four decimal places.) (b) State the appropriate conclusion. Fail to reject the null hypothesis. There is not significant evidence that the proportions differ.Reject the null hypothesis. There is significant evidence that the proportions differ. Fail to reject the null hypothesis. There is significant evidence that the…
- A farmer estimates that 4% of the 1,400 fruit trees on his farm will fail to produce fruit, with a margin of error of 2.5%. Based on this information, which statements are true? Select all that apply. Because 4% of the fruit trees will fail to produce fruit, the farmer should calculate 4% of 1,400. Then, he should subtract 2.5% of that number to find the low end of the range. He should also add 2.5% to that number to find the high end of the range trees that fail to produce fruit. Between 53 and 57 trees can be expected to fail to produce fruit. Because there is a margin of error of 2.5%, the farmer should calculate 2.5% of 1,400 to find the high end of the range of trees that fail to produce fruit. The lowest number of trees that fail to produce fruit is simply 0. Between 0 and 35 trees can be expected to fail to produce fruit. Because there is a margin of error of 2.5%, between 1.5% and 6.5%6.5% of the fruit trees will fail to produce fruit. The farmer should calculate 1.5%…A media personality argues that global temperatures are not rising, because every year an increase is reported such as 0.08 degrees C. The difference from the previous year is less than the margin of error of about 0.15 degrees C, so that difference should be ignored. What is a strong counterargument? a) Even 0.08 degrees is a lot and thus should be considered b) the margin of error is just extra information and thus can be ignored c) the difference with any previous decade is much greater than the magin of error d) 0.15-0.08 is 0.07, which is still an increase and thus should be consideredA media personality argues that global temperatures are not rising, because every year an increase is reported such as 0.08 degrees C. The difference from the previous year is less than the margin of error of about 0.15 degrees C, so that difference should be ignored. What is a strong counterargument? A. Even 0.08 degrees is a lot and thus should be considered. B. The margin of error is just extra information and thus can be ignored. C. The difference with any previous decade is much greater than the margin of error. D. 0.15 - 0.08 is 0.07, which is still an increase and thus should be considered.
- Suppose you are the master of the mint. If you sample 400 coins and the king has set the error tolerance at 1 ounce for individual coins, and each coin should weight 1 ounce. What is the error in the sum of the 400 coins. Round to two places.Suppose that a manufacturer is testing one of its machines to make sure that the machine is producing more than 97% good parts (H0: p = 0.97 and Ha : p > 0.97).The test results in a P-value of 0.102. In reality, the machine is producing 99% good parts.What probably happens as a result of our testing? We correctly fail to reject H0.We reject H0, making a Type I error. We correctly reject H0.We fail to reject H0, making a Type I error.We fail to reject H0, making a Type II error.A media personality argues that global temperatures are not rising, because every year an increase is reported such as 0.08 degrees C. The difference from the previous year is less than the margin of error of about 0.15 degrees C, so that difference should be ignored. What is a strong counterarguement? A. Even 0.08 degrees is a lot and thus should be considered. B. The margin of error is just extra information and thus can be ignored. C. The difference with any previous decade is much greater than the margin of error. D. 0.15 - 0.08 is 0.07, which is still an increase and thus should be considered.
- In the oil-wildcatting problem (book chapter 7), suppose that the company could collect information from a drilling core sample and analyze it to determine whether a dome structure exists at Site 1. A positive result would indicate the presence of a dome, and a negative result would indicate the absence of a dome. The test is not perfect, however. The test is highly accurate for detecting a dome; if there is a dome, then the test shows a positive result 99% of the time. On the other hand, if there is no dome, the probability of a negative result is only 0.85. Thus, P(+ | Dome) = 0.99 and P(- | No Dome) = 0.85. Use these probabilities, the information given in the example, and Bayes' theorem to find the posterior probabilities P(Dome | +) and P(Dome | -). If the test gives a positive result, which site should be selected? Calculate expected values to support your conclusion! If the test result is negative, which site should be chosen? Again, calculate expected valuesIf the mortality rate under one month infants in a country is 2.5 per thousand, and the same rate for infants up to two months is 6 per thousand: A) What is the approximate mortality rate of 1000 infants in the second month of life? B) What is the probablity that 2500 babies born in that country in one day will reach one month old?In a population of 300,000 people, 30,000 are infected with a virus. After a person becomes infected and then recovers, the person is immune (cannot become infected again). Of the people who are infected, 2% will die each year and the others will recover. Of the people who have never been infected, 20% will become infected each year. How many people will be infected in 4 years? (Round your answer to the nearest whole number.)___________ people. Note:- Please need the correct answer for this problem.
