The shape of the histogram in the long run. To check: Whether the given histogram shows the expected distribution or not.

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Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Chapter 12, Problem 9CRE

a.

To determine

To identify: The shape of the histogram in the long run.

To check: Whether the given histogram shows the expected distribution or not.

b.

To determine

To explain: Whether or not the shape of the histogram shows the normal distribution.

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(iii) If, in addition, X1, X2, ... Xn are identically distributed, then P(S|>x) ≤2 exp{-tx+nt²o}}.

5. State space models Consider the model T₁ = Tt−1 + €t S₁ = 0.8S-4+ Nt Y₁ = T₁ + S₁ + V₂ where (+) Y₁,..., Y. ~ WN(0,σ²), nt ~ WN(0,σ2), and (V) ~ WN(0,0). We observe data a. Write the model in the standard (matrix) form of a linear Gaussian state space model. b. Does lim+++∞ Var (St - St|n) exist? If so, what is its value? c. Does lim∞ Var(T₁ — Ît\n) exist? If so, what is its value?

Let X represent the full height of a certain species of tree. Assume that X has a normal probability distribution with mean 203.8 ft and standard deviation 43.8 ft. You intend to measure a random sample of n = 211trees. The bell curve below represents the distribution of these sample means. The scale on the horizontal axis (each tick mark) is one standard error of the sampling distribution. Complete the indicated boxes, correct to two decimal places. Image attached. I filled in the yellow boxes and am not sure why they are wrong. There are 3 yellow boxes filled in with values 206.82; 209.84; 212.86.

Answer 2

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Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Chapter 12, Problem 9CRE

a.

To determine

To identify: The shape of the histogram in the long run.

To check: Whether the given histogram shows the expected distribution or not.

b.

To determine

To explain: Whether or not the shape of the histogram shows the normal distribution.

Expert Solution & Answer

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Check out a sample textbook solution

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Answer 3

Question

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Chapter 12, Problem 9CRE

a.

To determine

To identify: The shape of the histogram in the long run.

To check: Whether the given histogram shows the expected distribution or not.

b.

To determine

To explain: Whether or not the shape of the histogram shows the normal distribution.

Expert Solution & Answer

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Check out a sample textbook solution

See solution

Answer 4

Question

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Chapter 12, Problem 9CRE

a.

To determine

To identify: The shape of the histogram in the long run.

To check: Whether the given histogram shows the expected distribution or not.

b.

To determine

To explain: Whether or not the shape of the histogram shows the normal distribution.

Expert Solution & Answer

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Check out a sample textbook solution

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Answer 5

Chapter 12, Problem 9CRE

a.

To determine

To identify: The shape of the histogram in the long run.

To check: Whether the given histogram shows the expected distribution or not.

b.

To determine

To explain: Whether or not the shape of the histogram shows the normal distribution.

Answer 6

Chapter 12, Problem 9CRE

a.

To determine

To identify: The shape of the histogram in the long run.

To check: Whether the given histogram shows the expected distribution or not.

Answer 7

Chapter 12, Problem 9CRE

a.

To determine

To identify: The shape of the histogram in the long run.

To check: Whether the given histogram shows the expected distribution or not.

Answer 8

b.

To determine

To explain: Whether or not the shape of the histogram shows the normal distribution.

Answer 9

b.

To determine

To explain: Whether or not the shape of the histogram shows the normal distribution.

Answer 10

Expert Solution & Answer

Answer 11

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Answer 12

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Answer 13

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The shape of the histogram in the long run. To check: Whether the given histogram shows the expected distribution or not.

Solution Summary: The author explains that the shape of the histogram in the long run is uniform and the bars heights are approximately equal.

Videos

To identify: The shape of the histogram in the long run.

To check: Whether the given histogram shows the expected distribution or not.

To explain: Whether or not the shape of the histogram shows the normal distribution.

Want to see the full answer?

Chapter 12 Solutions

The shape of the histogram in the long run. To check: Whether the given histogram shows the expected distribution or not.

Solution Summary: The author explains that the shape of the histogram in the long run is uniform and the bars heights are approximately equal.

Videos

To identify: The shape of the histogram in the long run. To check: Whether the given histogram shows the expected distribution or not.

To explain: Whether or not the shape of the histogram shows the normal distribution.

Want to see the full answer?

Chapter 12 Solutions

To identify: The shape of the histogram in the long run.

To check: Whether the given histogram shows the expected distribution or not.