After the availability of covid 19 vaccinces in the Phiippines, the data below shows the number of senior citizens who received the vacines in City of Manila. Week No. 3 9 Senior Citizens who are Vaccinated 100 120 210 300 250 Based on the above data, determine the model of the vaccinated senior citizens. Determine also the vaccinated senior citizens in the 15th week.
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- Dr. V. noticed that the more frequently a student is late or absent from class the worse he or she performs on the final exam. He decided to investigate. Dr. V. collected a random sample of 22 students. This sample includes the number of times a student is absent and their grades on the final exam. The data can be found in the Excel file Assignment10.xlsx. Do not use any software that I did not assign. Times Late/ Final Exam Absent Grade 9 84.00 92.50 12 52.00 5 87.00 11 75.00 24 45.00 39.00 10 46.00 19 63.00 2 65.00 2 98.00 17 24.50 8 58.00 20 69.50 55 49.00 23 68.50 70.00 4 75.50 2 85.00 97.00 2 97.00 2 93.50 93.50 2 78.00 2 86.00 2 88.00 Question 1: Which or the two variables (times absent or grades on the final exam) is the independent variable and which is the dependent variable? Question 2: Using Microsoft Excel: (Excel file Assignment10.xlsx) SHOW YOUR WORK а. Count the number of XY variables. b. Calculate the mean and sample standard deviation of both the independent and…Dr. V. noticed that the more frequently a student is late or absent from class the worse he or she performs on the final exam. He decided to investigate. Dr. V. collected a random sample of 22 students. This sample includes the number of times a student is absent and their grades on the final exam. The data can be found in the Excel file Assignment10.xlsx. Do not use any software that I did not assign. Times Late/ Final Exam Absent Grade 9 84.00 2 92.50 12 52.00 5 87.00 11 75.00 24 45.00 7 39.00 10 46.00 19 63.00 2 65.00 2 98.00 17 24.50 8 58.00 20 69.50 55 49.00 23 68.50 70.00 4 75.50 85.00 7 97.00 2 97.00 93.50 93.50 2 78.00 2 86.00 2 88.00 Question 1: Which or the two variables (times absent or grades on the final exam) is the independent variable and which is the dependent variable?An analysis was conducted by the Statistics Consulting Center atVirginia Polytechnic Institute and State University in which acertain treatment was applied to a set of tree stumps. The chemicalGarlon was used the with the purpose of regenerating the roots ofthe stumps. A spray was used with four levels of GarlonPage 23 of 23concentration. After a period of time the height of the shoots wasobserved. Does the concentration of Garlon has a significantimpact on the height of the shoots? Use α = 0.05.
- According to Lyme Disease surveillance information from the Rhode Island Department of Health (RIDOH), there were 441 cases of Lyme disease in Providence County and 86 cases in Bristol County in the year 2018. According to estimates for the same year from the U.S. Census Bureau, the population in Bristol County was 48,637 whereas the estimated population of Providence County was 636,953. Based on these data, the occurrence of Lyme disease per 100,000 population was ............. a. Nearly the same in both the counties b. Lower in Providence County than in Bristol County c. Higher in Providence County than in Bristol County d. More information is necessary to compare Lyme Disease occurrence between the two countiesDelmarva Power is a utility company that would like to predict the monthly heating bill for a household in Kent County during the month of January. A random sample of 18 households in the county were selected and their January heating bill recorded. This data is shown in the table below along with the square footage of the house (SF), the age of the heating system in years (Age,) and the type of heating system (heat pump = 1 or natural gas = 0). Household Bill SF Age Type 1 $255 2,070 7 Natural Gas 2 $286 1,909 17 Natural Gas 3 $296 2,004 8 Natural Gas 4 $300 2,307 22 Natural Gas 5 $305 3,021 5 Natural Gas 6 $317 2,683 14 Natural Gas 7 $321 1,511 8 Natural Gas 8 $321 2,836 3 Natural Gas 9 $339 2,553 20 Natural Gas 10 $349 2,497 11 Natural Gas 11 $369 2,103 12 Heat Pump 12 $374 2,486 18 Heat Pump 13 $381 2,279 19 Heat…You are a consultant to EAI and you have received the data on theannual salaries of 2500 managers. Some of these managers have alsoindicated that they have received some training. Conduct theappropriate descriptive analyses and present a report that willenable EAI to understand its operations. The link to the data is: https://drive.google.com/file/d/1KluyxHQdEsVNA38_EWPcEgKUJomm9b67/view
- The mortality rate from melanoma (skin cancer) during the 1950s was recorded for each of the 48 contiguous United States, plus Washington, D.C. (as reported by Fisher and Van Belle (1993) and found at http://www.stat.psu.edu/~lsimon/stat501wc/sp05/data/ The following is the scatterplot of the data: Mortality per 10 million 225 200 175 150 125 100- 30 35 Scatter plot 40 Latitude r=-.83 45 50 The plot shows a negative linear relationship between the latitude of the state and melanoma mortality rate. Which of the following is an appropriate interpretation of the negative relationship shown in the scatterplot above? A. O The more southern the state, the more people that died of melanoma. B. O The more southern the state, the higher the melanoma death rate. C. The more northern the state, the higher the melanoma death rate.A researcher randomly assigns 118 critically ill patients to receive a drug and 234 to receive a placebo. Among those assigned to the Drug Arm of the study 47 died and among those assigned to the Placebo Arm 51 died. Determine the estimated dying relative risk (drug vs. placebo) rounded to the nearest hundredth.According to the National Health and Nutrition Examination Survey (NHANES) sponsored by the U.S. government, a random sample of 712 males between 20 and 29 years of age and a random sample of 1,001 males over the age of 75 were chosen and the weight of each of the males were recorded (in kg). Do the data provide evidence that the younger male population weighs more (on average) than the older male population? Use “Y” for ages 20-29 and “S” for ages 75+. It was found that x̅Y=83.4, sY=18.7, x̅S=78.5, and sS=19.0. a)Suppose the test statistic is t = 2.398. What is the associated p-value? Group of answer choices 0.001 < p-value < 0.002 0.005 < p-value < 0.01 0.01 < p-value < 0.02 0.0005 < p-value < 0.001 b) Suppose the p-value is 0.02 < p-value < 0.04. At α = 0.10 what is the appropriate conclusion to make? Group of answer choices Fail to reject H0 and conclude that the mean weight of all males ages 20-29 is greater than the mean weight of all…
- According to the National Health and Nutrition Examination Survey (NHANES) sponsored by the U.S. government, a random sample of 712 males between 20 and 29 years of age and a random sample of 1,001 males over the age of 75 were chosen and the weight of each of the males were recorded (in kg). Do the data provide evidence that the younger male population weighs more (on average) than the older male population? Use “Y” for ages 20-29 and “S” for ages 75+. It was found that x̅Y=83.4, sY=18.7, x̅S=78.5, and sS=19.0. a) Is the normality condition met for this test? (see picture) No, since the histograms show skewness and outliers . Yes, since both sample sizes are larger than 30. No, since both sample sizes, nY and nS, are less than 30. Yes, since it was stated that the two populations are normally distributed. b)What are the correct degrees of freedom for this test? Group of answer choices 999 1000 1712 1711 711According to the National Health and Nutrition Examination Survey (NHANES) sponsored by the U.S. government, a random sample of 712 males between 20 and 29 years of age and a random sample of 1,001 males over the age of 75 were chosen and the weight of each of the males were recorded (in kg). Do the data provide evidence that the younger male population weighs more (on average) than the older male population? Use “Y” for ages 20-29 and “S” for ages 75+. It was found that x̅Y=83.4, sY=18.7, x̅S=78.5, and sS=19.0. A) What are the correct null and alternative hypotheses? B)What is the parameter of interest? The difference between the mean weight of all males ages 20-29 and the mean weight of all males ages 75+ The mean weight (in kg) The difference between the mean weight of the sample of males ages 20-29 and the mean weight of the sample of males ages 75+ The mean difference between the weights of males ages 20-29 and males ages 75+ c)Is the randomness condition met for…what are the four imporatant sources of data?