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- kindly assist. An epidemiologist who is working in Capricorn Department of Health investigated the occurrence ofCOVID-19 disease during winter season and found 275 COVID-19 cases out of 10,000 residents ofthe district. Based on these collected data, he would like to proof the claim that "during winter seasonthe proportion of patients with COVID-19 in Capricorn district is less than 3%". Using 5% level ofsignificance, write and test the above claim, following a) score testAn organization published an article stating that in any one-year period, approximately 8.2 percent of adults in a country suffer from depression or a depressive illness. Suppose that in a survey of 100 people in a certain town, six of them suffered from depression or a depressive illness. Conduct a hypothesis test to determine if the true proportion of people in that town suffering from depression or a depressive illness is lower than the percent in the general adult population in the country. p' = Calculate ?x. Find the p-value.During the referandum of 1986, candidate B12 showed the following pre-election voter support in Colorado and Alaska. Voters Surveyed Voters who Favored Candidate B12 Colarado 550 290 Alaska 750 360 Test at a = 0.05 level of significance to determine if there is conclusive evidence that one of the two states had a larger proportion of voters' support? Show all steps to support your answer.
- the american association of individual investors conducts a weekly survey of its members to measure the percent who are bullish, bearish, and neutral on the stock market for thenext six months. for the week ending november 7, 2012, the survey results showed 38.5%bullish, 21.6% neutral, and 39.9% bearish (aaii website, november 12, 2012). assumethese results are based on a sample of 300 aaii members.a. over the long term, the proportion of bullish aaii members is .39. conduct a hypothesis test at the 5% level of significance to see if the current sample results show thatbullish sentiment differs from its long term average of .39. what are your findings?the american association of individual investors conducts a weekly survey of its members to measure the percent who are bullish, bearish, and neutral on the stock market for thenext six months. for the week ending november 7, 2012, the survey results showed 38.5%bullish, 21.6% neutral, and 39.9% bearish (aaii website, november 12, 2012). assumethese results are based on a sample of 300 aaii members.a. over the long term, the proportion of bullish aaii members is .39. conduct a hypothesis test at the 5% level of significance to see if the current sample results show thatbullish sentiment differs from its long term average of .39. what are your findings?b. over the long term, the proportion of bearish aaii members is .30. conduct a hypothesis test at the 1% level of significance to see if the current sample results show thatbearish sentiment is above its long term average of .30. what are your findings?the american association of individual investors conducts a weekly survey of its members to measure the percent who are bullish, bearish, and neutral on the stock market for thenext six months. for the week ending november 7, 2012, the survey results showed 38.5%bullish, 21.6% neutral, and 39.9% bearish (aaii website, november 12, 2012). assumethese results are based on a sample of 300 aaii members.a. over the long term, the proportion of bullish aaii members is .39. conduct a hypothesis test at the 5% level of significance to see if the current sample results show thatbullish sentiment differs from its long term average of .39. what are your findings?b. over the long term, the proportion of bearish aaii members is .30. conduct a hypothesis test at the 1% level of significance to see if the current sample results show thatbearish sentiment is above its long term average of .30. what are your findings?c. would you feel comfortable extending these results to all investors? why or why…
- A pharmaceutical company wants to test whether aspirin 1 is as effective as aspirin 2. A random sample of 400 people with headaches are given Aspirin 1 and 260 report that they feel better within 1 hour. Another independent random sample of 350 people with headaches are given aspirin 2 and 220 report that they feel better within 1 hour. a) at the 1% level of significance, does there appear to be a difference in effectiveness of the 2 types of aspirin? b) what is the P value?A large national union claims that the proportion of women in the union is significantly different from one-half. A random sample of 100 union members showed that 37 were women. Let α = 0.05. If the calculated p-value is equal to 0.0093, what is your conclusion? A. The proportion of women in the sample of 100 members is significantly different from one-half. B. The proportion of women in the entire union is significantly different from one-half. C. The proportion of women in the sample of 100 members is not significantly different from one-half. D. The proportion of women in the entire union is not significantly different from one-half.A pharmaceutical company wants to test whether Aspirin 1 is as effective as Aspirin 2. A random sample of 400 people with headaches are given Aspirin 1 and 260 report they feel better within 1 hour. Another independent random sample of 350 people with headaches are given Aspirin 2 and 220 report they feel better within 1 hour.a) At the 1% level of significance, does there appear to be a difference in theeffectiveness of the 2 types of Aspirin?b) What is the p-value?
- Two separate samples receive two different treatments. The first sample has n = 9 with M = 50 and SS = 710. And the second sample has n = 6 with M = 37 and SS = 460. Are there significant treatment differences between these two samples? Use α = .05Results of a poll of a random sample of 3003 American adults showed that 20% do not know that caffeine contributes to dehydration. The poll was conducted for the Nutrition Information Center and had a margin of error of ± 1.4%.A pizza chain advertises that, in recent taste experiment in which their pizza (pizza A) was compared with the other four leading pizza chains, more people preferred their pizza to the other four. The data from the taste experiment are recorded as: Pizza A = 60 people, Pizza B = 45 people, Pizza C = 52 people, Pizza D = 43 people and Pizza E = 50 people. Do you believe the ad to be misleading? Use a = 0.05 in making your decision and follow all necessary testing procedures.