The central limit theorem applicable on x ¯ distribution.

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Answer 1

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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 9, Problem 6CRP

(a)

To determine

To explain: The central limit theorem applicable on x¯ distribution.

(b)

To determine

To find: The probability that x¯ will be lower than 6820.

(c)

To determine

Whether we recommended that additional fact should be obtained or the worker's claims be dismissed.

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20 km, because GISS Worksheet 10 Jesse runs a small business selling and delivering mealie meal to the spaza shops. He charges a fixed rate of R80, 00 for delivery and then R15, 50 for each packet of mealle meal he delivers. The table below helps him to calculate what to charge his customers. 10 20 30 40 50 Packets of mealie meal (m) Total costs in Rands 80 235 390 545 700 855 (c) 10.1. Define the following terms: 10.1.1. Independent Variables 10.1.2. Dependent Variables 10.2. 10.3. 10.4. 10.5. Determine the independent and dependent variables. Are the variables in this scenario discrete or continuous values? Explain What shape do you expect the graph to be? Why? Draw a graph on the graph provided to represent the information in the table above. TOTAL COST OF PACKETS OF MEALIE MEAL 900 800 700 600 COST (R) 500 400 300 200 100 0 10 20 30 40 60 NUMBER OF PACKETS OF MEALIE MEAL

Let X be a random variable with support SX = {−3, 0.5, 3, −2.5, 3.5}. Part ofits probability mass function (PMF) is given bypX(−3) = 0.15, pX(−2.5) = 0.3, pX(3) = 0.2, pX(3.5) = 0.15.(a) Find pX(0.5).(b) Find the cumulative distribution function (CDF), FX(x), of X.1(c) Sketch the graph of FX(x).

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 9, Problem 6CRP

(a)

To determine

To explain: The central limit theorem applicable on x¯ distribution.

(b)

To determine

To find: The probability that x¯ will be lower than 6820.

(c)

To determine

Whether we recommended that additional fact should be obtained or the worker's claims be dismissed.

Expert Solution & Answer

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Check out a sample textbook solution

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Answer 3

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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 9, Problem 6CRP

(a)

To determine

To explain: The central limit theorem applicable on x¯ distribution.

(b)

To determine

To find: The probability that x¯ will be lower than 6820.

(c)

To determine

Whether we recommended that additional fact should be obtained or the worker's claims be dismissed.

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 9, Problem 6CRP

(a)

To determine

To explain: The central limit theorem applicable on x¯ distribution.

(b)

To determine

To find: The probability that x¯ will be lower than 6820.

(c)

To determine

Whether we recommended that additional fact should be obtained or the worker's claims be dismissed.

Expert Solution & Answer

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Answer 5

Chapter 9, Problem 6CRP

(a)

To determine

To explain: The central limit theorem applicable on x¯ distribution.

(b)

To determine

To find: The probability that x¯ will be lower than 6820.

(c)

To determine

Whether we recommended that additional fact should be obtained or the worker's claims be dismissed.

Answer 6

Chapter 9, Problem 6CRP

(a)

To determine

To explain: The central limit theorem applicable on x¯ distribution.

Answer 7

Chapter 9, Problem 6CRP

(a)

To determine

To explain: The central limit theorem applicable on x¯ distribution.

Answer 8

(b)

To determine

To find: The probability that x¯ will be lower than 6820.

Answer 9

(b)

To determine

To find: The probability that x¯ will be lower than 6820.

Answer 10

(c)

To determine

Whether we recommended that additional fact should be obtained or the worker's claims be dismissed.

Answer 11

(c)

To determine

Whether we recommended that additional fact should be obtained or the worker's claims be dismissed.

Answer 12

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Answer 13

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Answer 14

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Answer 15

The central limit theorem applicable on x ¯ distribution.

Solution Summary: The author explains the central limit theorem applicable to stackrel x distribution.

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To explain: The central limit theorem applicable on x¯ distribution.

To find: The probability that x¯ will be lower than 6820.

Whether we recommended that additional fact should be obtained or the worker's claims be dismissed.

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