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Only need help on problems that do NOT involve R...
Will rate!! Only need help on problems that do NOT involve R simulation Part 3. (13...
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Only need help on problems that do NOT involve R simulation
Part 3. (13 polnts) SImulatlon of Gamma Random Varlables Background: When we use the probablity denslty function to find probabiltles for a random varlable, we are using the density function as a model. This Is a smooth curve, based on the shape of observed outcomes for the random varlable. The observed distribution will be rough and may not follow the model exactly. The probabillty density curve, or...
Question 2 a. Show that, for the exponential model with gamma prior, the posterior Π(9121m) under...
Question 2 a. Show that, for the exponential model with gamma prior, the posterior Π(9121m) under n observations can be computed as the posterior given a single observation xn using the prior q(の는 1101r1:n-1). Give the formula for the parameters (an,ßn) of the posterior ll(θ|X1:n, α0,Ao) as a function of (an-1, Bn-1). b. Visualize the gradual change of shape of the posterior II(01:n, ao, Bo) with increasing n: . Generate n 256 exponentially distributed samples with parameter θ-1. . Use...
Will rate!! Show work plz Part 1. (6 points) Identify the distribution For each random variable:...
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Show work plz
Part 1. (6 points) Identify the distribution For each random variable: State the distribution that will best model random variable. Choose from the common distributions: Uniform, Exponential or Normal distribution. Explain your reasoning. State the parameter values that describe the distribution. Give the probability density function. a. b. c. Random Variable 1 A statistics student has a part time job as a coffee shop barista, she realizes the time between customer orders is a random...
J This question relates to the idea of maximum likelihood estimation (MLE). MLE is a commonly...
J This question relates to the idea of maximum likelihood estimation (MLE). MLE is a commonly used method in statistics, if not a cornerstone, that finds estimates of model parameters by answering the question, "given some observed data, what are the parameter estimates that maximise the likelihood (chance) of observing that data in the first place?" To provide an example, if we observe the values 2.6, 3.2 and 5.1 assumed to be drawn independently from the same distribution, it is...
For this exercise we will run a regression using Swiss demographic data from around 1888. The...
For this exercise we will run a regression using Swiss demographic data from around 1888. The sample is a cross-section of French speaking counties in Switzerland This data come with the R package datasets. The first step is to load the package into your current environment by typing the command libraryldatasets) in to the R console. This loads a number of datasets including one called swiss. Type help/swiss) in the console for additional details. The basic variable definitions are as...
R studio #Exercise : Calculate the following probabilities : #1. Probability that a normal random variable...
R studio #Exercise : Calculate the following probabilities : #1. Probability that a normal random variable with mean 22 and variance 25 #(i)lies between 16.2 and 27.5 #(ii) is greater than 29 #(iii) is less than 17 #(iv)is less than 15 or greater than 25 #2.Probability that in 60 tosses of a fair coin the head comes up #(i) 20,25 or 30 times #(ii) less than 20 times #(iii) between 20 and 30 times #3.A random variable X has Poisson...
*Please show work TIA:-) Date: Name: Storm Tracker Portfolio Worksheet PRECALCULUS: PARAMETRIC FUNCTIONS Directions: Meteorologists use sophisticated models to predict the occurrence, duration,...
*Please show work TIA:-)
Date: Name: Storm Tracker Portfolio Worksheet PRECALCULUS: PARAMETRIC FUNCTIONS Directions: Meteorologists use sophisticated models to predict the occurrence, duration, and trajectory of weather events. They build their models based on observations that they have made in the past. By understanding how previous weather events evolved, meteooogists can apply that knowledge to future weather Parametric equations can be used to graph the path of an object in space. For example, used to describe the path of a...
I need help answering questions 1-3 32,33,35,36 Fitted Line Plot Time = 994.2-0.3930 Year 280 270 260 250 240 230 220 210 200 6.76343 79.3% 784% R-Sq R-Sq(a 1900 1920 19401960 1980 Year y...
I need help answering questions 1-3
32,33,35,36
Fitted Line Plot Time = 994.2-0.3930 Year 280 270 260 250 240 230 220 210 200 6.76343 79.3% 784% R-Sq R-Sq(a 1900 1920 19401960 1980 Year y a+bx Question 1 ive the equation for the least squares regression line, and interpret it in context. Question 2: Give the equation for this new line and compare it with the line you found for the whole dataset, commenting on the effect of the outlier Question...
Can Dogs Understand Human Cues? EXPLORATION Dogs have been domesticated for about 14,000 years. In that...
Can Dogs Understand Human Cues? EXPLORATION Dogs have been domesticated for about 14,000 years. In that time, have they been able to develop an understanding of human gestures such as pointing or glancing? How about simi lar nonhuman cues? Researchers Udell, Giglio, and Wynne tested a small number of dogs in order to answer these questions. In this exploration, we wll first see whether dogs can understand human gestures as well as nonhuman gestures. To test this, the researchers positioned...
1. According to the paper, what does lactate dehydrogenase (LDH) do and what does it allow...
1. According to the paper, what does lactate dehydrogenase
(LDH) do and what does it allow to happen within the myofiber? (5
points)
2. According to the paper, what is the major disadvantage of
relying on glycolysis during high-intensity exercise? (5
points)
3. Using Figure 1 in the paper, briefly describe the different
sources of ATP production at 50% versus 90% AND explain whether you
believe this depiction of ATP production applies to a Type IIX
myofiber in a human....
Will rate!!
Only need help on problems that do NOT involve R simulation
Part 3. (13 polnts) SImulatlon of Gamma Random Varlables Background: When we use the probablity denslty function to find probabiltles for a random varlable, we are using the density function as a model. This Is a smooth curve, based on the shape of observed outcomes for the random varlable. The observed distribution will be rough and may not follow the model exactly. The probabillty density curve, or...
Question 2 a. Show that, for the exponential model with gamma prior, the posterior Π(9121m) under n observations can be computed as the posterior given a single observation xn using the prior q(の는 1101r1:n-1). Give the formula for the parameters (an,ßn) of the posterior ll(θ|X1:n, α0,Ao) as a function of (an-1, Bn-1). b. Visualize the gradual change of shape of the posterior II(01:n, ao, Bo) with increasing n: . Generate n 256 exponentially distributed samples with parameter θ-1. . Use...
Will rate!!
Show work plz
Part 1. (6 points) Identify the distribution For each random variable: State the distribution that will best model random variable. Choose from the common distributions: Uniform, Exponential or Normal distribution. Explain your reasoning. State the parameter values that describe the distribution. Give the probability density function. a. b. c. Random Variable 1 A statistics student has a part time job as a coffee shop barista, she realizes the time between customer orders is a random...
J This question relates to the idea of maximum likelihood estimation (MLE). MLE is a commonly used method in statistics, if not a cornerstone, that finds estimates of model parameters by answering the question, "given some observed data, what are the parameter estimates that maximise the likelihood (chance) of observing that data in the first place?" To provide an example, if we observe the values 2.6, 3.2 and 5.1 assumed to be drawn independently from the same distribution, it is...
For this exercise we will run a regression using Swiss demographic data from around 1888. The sample is a cross-section of French speaking counties in Switzerland This data come with the R package datasets. The first step is to load the package into your current environment by typing the command libraryldatasets) in to the R console. This loads a number of datasets including one called swiss. Type help/swiss) in the console for additional details. The basic variable definitions are as...
*Please show work TIA:-)
Date: Name: Storm Tracker Portfolio Worksheet PRECALCULUS: PARAMETRIC FUNCTIONS Directions: Meteorologists use sophisticated models to predict the occurrence, duration, and trajectory of weather events. They build their models based on observations that they have made in the past. By understanding how previous weather events evolved, meteooogists can apply that knowledge to future weather Parametric equations can be used to graph the path of an object in space. For example, used to describe the path of a...
I need help answering questions 1-3
32,33,35,36
Fitted Line Plot Time = 994.2-0.3930 Year 280 270 260 250 240 230 220 210 200 6.76343 79.3% 784% R-Sq R-Sq(a 1900 1920 19401960 1980 Year y a+bx Question 1 ive the equation for the least squares regression line, and interpret it in context. Question 2: Give the equation for this new line and compare it with the line you found for the whole dataset, commenting on the effect of the outlier Question...
Can Dogs Understand Human Cues? EXPLORATION Dogs have been domesticated for about 14,000 years. In that time, have they been able to develop an understanding of human gestures such as pointing or glancing? How about simi lar nonhuman cues? Researchers Udell, Giglio, and Wynne tested a small number of dogs in order to answer these questions. In this exploration, we wll first see whether dogs can understand human gestures as well as nonhuman gestures. To test this, the researchers positioned...
1. According to the paper, what does lactate dehydrogenase
(LDH) do and what does it allow to happen within the myofiber? (5
points)
2. According to the paper, what is the major disadvantage of
relying on glycolysis during high-intensity exercise? (5
points)
3. Using Figure 1 in the paper, briefly describe the different
sources of ATP production at 50% versus 90% AND explain whether you
believe this depiction of ATP production applies to a Type IIX
myofiber in a human....
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