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A: Part (a) If there is a difference in the effectiveness of the two filters, conditions under which a…
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Q: What are the measures of this problem
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A: Given : Past research indicates that about 30% of people who get the flu experience nausea , p0 =…
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Q: . Determine the regression equation.
A: Note: Since you have posted a question with multiple subparts, we will solve the first three…
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A: Matched pairs design is basically an experimental design in which the observations or participants…
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A: Solution: The claim is to test if there is a significant difference in the time required to complete…
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A: Solution : Observational study is a study in which the researcher merely observes what is happening…
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A: H0: p(red) = 0.8, p(yellow) = 0.05, p(green) = 0.15 Ha: either of the proportion is different
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Q: Many regions in North and South Carolina and Georgia have experienced rapid population growth over…
A: Given:- Many regions in North and South Carolina and Georgia have experienced rapid…
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A: Given Information: Type A is causes 85% of all cases. Type B causes 12% of cases. Type C causes the…
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A: The number of conditions is 2 and the number of participants in each condition is 50.
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A: Given Information: Level of significanceα=0.05.
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A: Population Mean Sample Mean Sample Standard deviation s=10000Sample size n=40Destination Wedding X=7
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A: Given Information: Claim: The percentage of those who experience nausea while having the flu and…
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If you set up your study as a block design, the usual convention is to have 1 experimental unit per treatment per block. So if there is 2 treatments there would be 2 experimental units per block? True or False
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- Tonya , a research director, is conducting an experiment to determine the effectiveness of treatment for peach trees against blight. She randomly divides one grove's trees into three groups. One group is the control with no treatment for blight. She prunes the second group to remove the limbs showing blight after the spring rains. She prunes the third group as well and also sprays them with an antibiotic. Vanessa monitors the trees for five years after the start of the experiment. The table shows the outcomes, or the counts of how long the trees in each group lived. Treatment Outcomes None Pruning Antibiotic Totals 0 to 2 years 41 35 27 103 2 to 4 years 28 44 46 118 More than 4 years 13 22 51 86 Totals 82 101 124 307 Determine the probability that a randomly selected tree from this experiment lived two to four years or was treated with an antibiotic. Give your answer as a decimal, precise to three decimal placesMany regions in North and South Carolina and Georgia have experienced rapid population growth over the last 10 years. It is expected that the growth will continue over the next 10 years. This has motivated many of the large grocery store chains to build new stores in the region. The Kelley’s Super Grocery Stores Inc. chain is no exception. The director of planning for Kelley’s Super Grocery Stores wants to study adding more stores in this region. He believes there are two main factors that indicate the amount families spend on groceries. The first is their income and the other is the number of people in the family. The director gathered the following sample information. Family Food Income Size 1 $ 5.04 $ 73.98 4 2 4.08 54.90 2 3 5.76 94.14 4 4 3.48 52.02 1 5 4.20 65.70 2 6 4.80 53.64 4 7 4.32 79.74 3 8 5.04 68.58 4 9 6.12 165.60 5 10 3.24 64.80 1 11 4.80…A client wants to determine whether there is a significant difference in the time required to complete a program evaluation with the three different methods that are in common use. Suppose the times (in hours) required for each of 18 evaluators to conduct a program evaluation follow. Method 1 Method 2 Method 3 65 64 55 72 71 68 69 79 66 77 65 58 78 74 56 74 70 64 Use ? = 0.05 and test to see whether there is a significant difference in the time required by the three methods. State the null and alternative hypotheses. 1. H0: All populations of times are identical. Ha: Not all populations of times are identical. 2. H0: Median1 ≠ Median2 ≠ Median3 Ha: Median1 = Median2 = Median3 3. H0: Median1 = Median2 = Median3 Ha: Median1 > Median2 > Median3 4. H0: Median1 = Median2 = Median3 Ha: Median1 ≠ Median2 ≠ Median3 5 .H0: Not all populations of times are identical. Ha: All populations of times are identical. Find the value of the test statistic.…
- Tuff Rubbers, a tire manufacturer, knows that 5% of the tires it produces are defective. To reduce the number of defective tires that make it to market, the manufacturer uses a special device to test each tire before shipping it out. The test will correctly detect a defective tire 97% of the time. However, the test will incorrectly indicate a good quality tire is defective 6% of the time. If the test indicates a tire is defective, the tire is recycled. Otherwise, the tire makes it to market. Let D represent the event a tire is defective, and T represent the event the test indicates a tire is defective. In each part of this question, express each probability only in terms of the events D and T and justify any computation by explicitly stating the formula you are using. (a) Express each of the three probabilities listed above in terms of the events D and T. (b) What percentage of tires are recycled? (c) What percentage of recycled tires are not defective? (d) What percentage of…Write your own hypothesis.Many regions in North and South Carolina and Georgia have experienced rapid population growth over the last 10 years. It is expected that the growth will continue over the next 10 years. This has motivated many of the large grocery store chains to build new stores in the region. The Kelley’s Super Grocery Stores Inc. chain is no exception. The director of planning for Kelley’s Super Grocery Stores wants to study adding more stores in this region. He believes there are two main factors that indicate the amount families spend on groceries. The first is their income and the other is the number of people in the family. The director gathered the following sample information. Family Food Income Size 1 $ 5.04 $ 73.98 4 2 4.08 54.90 2 3 5.76 94.14 4 4 3.48 52.02 1 5 4.20 65.70 2 6 4.80 53.64 4 7 4.32 79.74 3 8 5.04 68.58 4 9 6.12 165.60 5 10 3.24 64.80 1 11 4.80…
- What are the strengths and the weaknesses of experimental designs?A national study found that treating people appropriately for high blood pressure reduced their overall mortality by 20%. Treating people adequately for hypertension has been diffcult because it is estimated that 50% of hypertensives do not know they have high blood pressure, 50% of those who do know are inadequately treated by their physicians, and 50% who are appropriately treated fail to follow this treatment by taking the right number of pills. Answer the following questions ( please answer all the parts 1,2 and 3): 1) What is the probability that among 10 true hypertensives at least 50% are being treated appropriately and are complying with this treatment?2) What is the probability that at least 7 of the 10 hypertensives know they have high blood pressure? 3) If the preceding 50% rates were each reduced to 40% by a massive education program, then what effect would this change have on the overall mortality rate among true hypertensives; that is, would the mortality rate decrease…Although a research study is typically conducted with a relatively small group of participants known as a most researchers hope to generalize their results to a much larger group known as a
- The bacterium Staphylococcus aureus is commonly found on the skin and rarely causes major problems. If it gets under the skin or into the lungs it can cause boils or pneumonia. If the strain of bacterium causing these problems is resistant to methicillin, the infections can be life threatening. Methicillin resistant Staphy- lococcus aureus or MRSA is, therefore, a major concern in hospitals and clinics. Given the death rate from MRSA lung infections is 20%, if 20 patients are admitted in the hospital find the following probabilities: (a) Less than 3 die (b) At least 3 die. (c) Between 6 and 3 die.A serious side effect of allergy medicines is that they cause drowsiness, which can cause many problems for the individuals taking them. In recent years, a new non-drowsy allergy medicine has been developed. The company that created the medicine claims to be the first, once-a-day, non-drowsy allergy medicine (call it Medicine A). An independent research group wanted to check on this claim by comparing medicine A with another allergy medicine not advertised as non-drowsy (call it Medicine B). A random sample of 3,193 allergy sufferers was selected and each individual was randomly assigned to take either Medicine A or Medicine B. From the Medicine A group, 114 of 1,604 reported drowsiness and from the Medicine B group, 155 of 1,589 reported drowsiness. Calculate and label the two sample proportions separately. Next, calculate the difference between these sample proportions by subtracting (Medicine A – Medicine B). Complete these calculations by hand, label each of them, and…When looking at the data for graduate school admissions between men and women, it is shown that about 45% of men are admitted but only 38% of women. However, when the data is broken down by school it turns out that, within each school, the women are admitted at higher rates than the men. This could happen because I. The women apply in higher numbers to schools with lower acceptance rates. II. The women apply in higher numbers to schools with higher acceptance rates III. The men apply in higher numbers to schools with lower acceptance rates IV. The men apply in higher numbers to schools with higher acceptance rates
