A new insecticide aboratory test, the mmediately after contact. Is this sufficient evidence to support the advertised claim? Use a=0.05. is advertised to kill more than 95% roaches upon contact. Ir insecticide was applied to 400 roaches and 384 died
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- 2. Consider a study where students are measured on whether they had an internship during their time at WKU (Y/N) and whether they had a job at graduation (Y/N). If we wanted to test whether having an internship was associated with having a job at graduation (i.e., internship holders were more likely to have jobs), why would the chi-square test be inappropriate for this hypothesis? How should we analyze our data?In a clinical trial, 29 out of 853 patients taking a prescription drug daily complained of flulike symptoms. Suppose that it is known that 2.9% of patients taking competing drugs complain of flulike symptoms. Is there sufficient evidence to conclude that more than 2.9% of this drug's users experience flulike symptoms as a side effect at the α=0.1 What are the null and alternative hypotheses?A major credit card company is interested in the proportion of individuals who use a competitor’s credit card. Their null hypothesis is H0: p=0.65H0: p=0.65, and based on a sample they find a sample proportion of 0.70 and a pp-value of 0.053. Is there convincing statistical evidence at the 0.05 level of significance that the true proportion of individuals who use the competitor’s card is actually greater than 0.65 ?
- 11. Researchers are interested in the effectiveness of a new therapeutic methodology at decreasing performance on the Global Depression Scale (GDS). Suppose clinical relevancy in this field would mandate that the methodology needs to decrease a score on the GDS in a clinically depressed individual by more than points. Which of the following represents the correct null and alternative hypotheses for the t test that should be implemented in this investigation?A survey of 90 recently delivered women on the rolls of a county welfare department revealed that 27 had a history of intrapartum or postpartum infection. Can we conclude that the population proportion with a history of intrapartum or postpartum infection is significantly less than or equal to 0.25? Let alpha = 0.05.A certain percentage of items produced have some defects. To estimate the defect rate p, a collection of 100 items sampled from production revealed that 10 items contained suchdefects.1. Formulate and test the appropriate null H0 and alternative hypotheses H1 to verify the claim that the defect rate is smaller than 0.15 at level α = 0.1 2. Find the P-value. Based on the P-value, can you reject H0 at level α = 0.01?
- Is there a difference between men and women when it comes to seeking preventative healthcare? At the alpha = 0.01 of significance, test the claim that the proportion of those who have had a wellness visit with their physician in the year is the same for men and womenLet represent the proportion of females who have had a wellness visit with physician in the past year and represent the proportion of males who have done the same. 1. Which would be correct hypotheses for this O H 0 :p P =p M ,H 1 ;p 1 >p M O H 0 :p F ne p M ,H 1 ;p F >p M H 0 :p l =p M ,H 1 ;p F <p M H 0 :p P =p M ,H 1 ;p F backslash p M O O In a random sample of 150 females , 129 have had a wellness visit with their physician in the past yearIn a random sample of 159 maleti, 109 have had a wellness visit with their physician in the past year. 2.Find the test statistic (2 decimal places) 3. Give the value (4 decimal places) only answer 2 and 3 pleaseA major credit card company is interested in the proportion of individuals who use a competitor’s credit card. Their null hypothesis is H0: p=0.65H0: p=0.65, and based on a sample they find a sample proportion of 0.70 and a pp-value of 0.053. Is there convincing statistical evidence at the 0.05 level of significance that the true proportion of individuals who use the competitor’s card is actually greater than 0.65 ? Yes, because the sample proportion 0.70 is greater than the hypothesized proportion 0.65. A Yes, because the pp-value 0.053 is greater than the significance level 0.05. B No, because the sample proportion 0.70 is greater than the hypothesized proportion 0.65. C No, since the sample proportion 0.70 is exactly 0.05 away from the hypothesized proportion 0.65. D No, because the pp-value 0.053 is greater than the significance level 0.05.A researcher who wants to know whether the proportion of male births in a hospital is different from the established baseline of 51.07%, would like to test the following hypotheses: Ho:P = 0.51 vs. Ha :P = does not equal 0.51 a) Is the alternative hypothesis upper tail, lower tail, or two tailed? b) What do you conclude if the test results p-value of 0.03 at alpha value = 5% c) What do you conclude if the test results p-value of 0.08 at alpha value = 10%
- (1) Conduct a hypothesis test, at the 5% level of significance, to determine whether ? is significant (2) What would be the growth of the plant if 4g of fertilizer and 7g of ater was given to it daily? (3) Carry out an F -test at the 1% significance level to determine whether the model is significantWe tested to see if people who consumed caffeine had a lower average reaction time than those who didn’t consume caffeine at the alpha = 0.08 level. Assume we found a p-value of 0.5437. Which below would be an appropriate conclusion and interpretation? With an alpha of 0.08, and a p-value of 0.5437, we fail to reject the null and state we have insufficient evidence to support that the true average reaction time of caffeine consumers was less than that of non-caffeine consumers. With an alpha of 0.08, and a p-value of 0.5437, we reject the null and state we have sufficient evidence to support that the true average reaction time of caffeine consumers was less than that of non-caffeine consumers. With an alpha of 0.08, and a p-value of 0.5437, we fail to reject the null and state we have sufficient evidence to support that the true average reaction time of caffeine consumers was less than that of non-caffeine consumers. With an alpha of 0.08, and a p-value of 0.5437, we…A large manufacturing company investigated the service it received from its suppliers and discovered that, in the past, 38% of all material shipments were received late. However, the company recently installed a just-in-time system in which suppliers are linked more closely to the manufacturing process. A random sample of 150 deliveries since the just-in-time system was installed reveals that 33 deliveries were late. If we want to test whether the proportion of late deliveries was reduced signicantly at = 0:10 the null and alternative hypotheses are a. Null hypothesis (H0) b. Alternative hypothesis (HA)