Elon Musk and Anousheh Ansari are discussina the carbon removal competition. Both review th results of research work performed in the last 50 years and cannot agree that it will take only another 20 vears to significantly reduce CO2 in the atmosphere and oceans. Test at the 2% level of significance. What is the p - value? Year Sample Mean CO2 (ppm) Population Standard Deviation raining 1990 353.34 30 2020 385 33
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Elon Musk and Anousheh Ansari are discussina the carbon removal competition. Both review th results of research work performed in the last 50 years and cannot agree that it will take only another 20 vears to significantly reduce CO2 in the atmosphere and oceans. Test at the 2% level of significance. What is the p - value? Year Sample Mean CO2 (ppm) Population Standard Deviation raining 1990 353.34 30 2020 385 33
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- What does the y -intercept on the graph of a logistic equation correspond to for a population modeled by that equation?Climate change 2013 Data collected from around the globe show that the earth is getting warmer. The most common theory relates climate change to an increase in atmospheric levels of carbon dioxide (CO2), a greenhouse gas. The mean annual CO2 concentration in the atmosphere (parts per million) is measured at the top of Mauna Loa in Hawaii (away from any local contaminants) and available at ftp://aftp.cmdl.noaa.gov/products/trends/co2/co2_annmean_mlo.txt The mean surface air temperature is recorded as the change in °C relative to a base period of 1951 to 1980. It is available at data.giss.nasa.gov/gistemp/graphs_v3/ Here are a scatterplot and regression for the years from 1970 to 2013: 14.6 + 14.4 + 14.2 + 14.0 340 360 380 CO2 Response variable is R-squared = 73.6% R-squared (adjusted) = 72.9% s = 0.1316 with 44 – 2 = 42 degrees of freedom Global Avg Temp Variable Coefficient SE(Coeff) t-Ratio P-Value Intercept 10.6442 0.3418 31.1 S0.0001 0.010325 0.0010 10.8 S0.0001 a) Write the…Identify the description(s) that adhere to the requirements for testing a population correlation between variables X and Y. The log-transformed version of Y and X have a linear relationship. The shape of the scatter plot for the data collected for the X and Y variables is shaped like a funnel. The scatter plot for the data collected for the X and Y variables do not show any outliers. The frequency histograms for X and Y separately are each normally distributed.
- 38. Climate change 2016 Data collected from around the globe (including the sea ice data of Exercise 23) show that the earth is getting warmer. The generally accepted explanation relates climate change to an increase in atmospheric levels of carbon dioxide (CO.) because CO, is a greenhouse gas that traps the heat of the sun. A standard source of the mean annual CO, concentration in the atmosphere (parts per mil- lion) is measurements taken at the top of Mauna Loa in Hawaii (away from any local contaminants) and available at ftp://aftp.cmdl.noaa.gov/products/trends/ co2/co2_annmean_mlo.txt. Global temperature anomaly is the difference in mean global temperature relative to a base period of 1981 to 2010 in °C. It is available at www.ncdc.noaa. gov/cag/data-info/global. Here are a scatterplot and regression for the years from 1959 to 2016: 0.75 0.50 0.25 0.00 325 350 375 400 CO2 Response variable is: Temp R squared = 89.7% s = 0.0885 with 58- 2 56 degrees of freedom Variable Coefficient…2) (%30) Thermistors are used to measure the temperature of bodies. Thermistors are based on materials' change in resistance with temperature. To measure temperature, manufacturers provide you with a temperature vs. resistance calibration curve. If you measure resistance, you can find the temperature. A manufacturer of thermistors makes several observations with a thermistor, which are given in Table. Determine the temperature corresponding to 702.8 ohms using Lagrange polynomial interpolation. Show your calculations clearly. Temperature vs. Resistance 55 5아 R (ohm) | T (°C) 1101.0 911.3 25.113 30.131 40.120 35 636.0 30 451.1 50.128 25 20 400 700 800 500 600 900 1000 1100 1200 Resistance (ohms) (3,) eungesedwe 하Each year the US Environmental Protection Agency (EPA) releases fuel economy data on cars manufactured in that year. Below are summary statistics on fuel efficiency (in miles/gallon for city driving) from random samples of cars with manual and automatic transmissions manufactured in 2012. We want to know if there is a statistical difference between the average fuel efficiencies between the two different types of transmission. Automatic Transmission Manual Transmission X1 = 15.7 Si = 3.6 N1 = 26 T2 = 19 S2 = 4.65 N2 = 34 Mean %3D SD Sample Size (a) Calculate the standard error for the appropriate sampling distribution: SE = (b) We want to calculate a 91% confidence interval for the difference between the gas mileages for the automatic transmission and the manual transmission cars. What is the critical t-score that we should use to build our confidence interval? tcritical (c) Calculate the margin of error, the lower bound, and the upper bound for the 91% confidence interval. Margin of…
- Question 17 Indicate whether how many miles a person walks in one day is a quantitative variable or a categorical variable? Edit View Insert Format Tools Table 12pt v Paragraph v BIVAPoisoning by the pesticide DDT causes tremors and convulsions. In a study of DDT poisoning, researchers fed several rats a measured amount of DDT. They then made measurements on the rats’ nervous systems that might explain how DDT poisoning causes tremors. One important variable was the “absolutely refractory period,” the time required for a nerve to recover after a stimulus. This period varies normally. Measurements on four rats gave the following measurements (in milliseconds): 6, 1.7, 1.8, 1.9. Estimate the mean absolutely refractory period for all rats of this strain when subjected to the same treatment.COMPLETE 6 STEP HYPOTHESIS A study was conducted to determine if there was a linear relationship between a person's age and his/her peak heart rate. Complete a 6 step hypothesis test at an alpha level of 0.05 to determine if a significant correlation exists between age and peak heart rate.
- The data in Table 7..7 are collected in an experiment designed to investigate the impact of different positions of the mother during ultrasound on fetal heart rate. Fetal heart rate is measured by ultrasound in beats per minute. The study includes 20 women who are each assigned to one position and have the fetal heart rate measured in that position. Each woman is between 28 weeks, and 32 weeks, gestation. Is there a significant difference in mean fetal heart rates by position? Run the test at a 5% level of significance. PLEASE SHOW THE ANSWER IN EXCEL FORMAT WITH FORMULAS.QUESTION 20 A treatment for anxiety is found to demonstrate a consistent reduction of anxiety sympotms by 2 points on a 50- point anxiety symptoms scale. Although patients overall do not report feeling much difference, the experiemnter finds that the change in symptoms on the anxiety symptoms scale results in a p-value of less than .05. This is an example of A statitically significant effect that does not have clinical/practical significance A clinically significant change which is supported by a statistically significant effect A correlational research design A placebo effectQUESTION 3 Please import the resilience dataset into R by the R command below. resilience <- read.csv("https://raw.githubusercontent.com/njlytal/MATH315/main/resilience.csv") This survey data collected from 1,350 students across 25 medical schools in the United States as part of a study examining the life of students and residents in healthcare professions. Variable names and the descriptions of the dataset are as follows: 1. dreem: Perception of the educational environment was assessed via the DREEM questionnaire; possible scores range from 0 to 200, with higher scores representing a more positive perception about the educational environment. Sample questions include "I feel I am being well prepared for my profession" and "The atmosphere motivates me as a learner". 2. train: The first two years of medical school are focused on basic science education (pre-clinical curriculum) and the last two years consist of rotations in clinical settings (clinical curriculum). After medical school,…