Question

Which of the following is false? The normal distribution is defined by two parameters, the mean...

  1. Which of the following is false?

The normal distribution is defined by two parameters, the mean and the standard deviation.

In a normal distribution, the probability that the random variable X takes a particular value is zero.

For a continuous random variable the probability associated with any values of the random variable is found by calculating the area under the relevant normal curve.

For a normal distribution, approximately two thirds of the observations will fall within two standard deviations either side of the mean.

Homework Answers

Answer #1

Answer - for normal distribution, approximately two third of the observation will fall within two standard deviation on either side of mean ,

However from the empricial evidence it is clear that 99.7% of the data observing normal distribution lies within three standard deviations from the mean

95% within two standard deviation from mean and 68% within one standard deviation from mean

Kindly please rate the answer and do feel free to ask in case of doubt

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Assume that x has a normal distribution, and find the indicated probability. 1) The mean is...
Assume that x has a normal distribution, and find the indicated probability. 1) The mean is 15.2 and the standard deviation is 0.9. Find the probability that x is greater than 17. 2) Let x be a continuous random variable that follows a normal distribution with a mean of 17.3 and a standard deviation of 3.2. Find the value of x so that the area under the normal curve to the left of x is .500. Please show all the...
___________I. All daily sales at a convenience store produce a distribution that is approximately normal with...
___________I. All daily sales at a convenience store produce a distribution that is approximately normal with a mean of $1220 and a standard deviation of $130. The probability that the sales on a given day at this store are less than $1,305, rounded to four decimal places, is ________? 0.2193           B) 0.7434             C) 0.7993              D) 0.8920 ___________II. Let x be a continuous random variable that follows a normal distribution with a mean of 218 and a standard deviation of 26....
1. A random variable X has a normal distribution with a mean of 75 and a...
1. A random variable X has a normal distribution with a mean of 75 and a variance of 9. Calculate P(60 < X < 70.5). Round your answer to 4 decimal places. 2. A random variable X has a uniform distribution with a minimum of -50 and a maximum of -20. Calculate P(X > -25). Round your answer to 4 decimal places. 3.Which of the following statements about continuous random variables and continuous probability distributions is/are TRUE? I. The probability...
1) With a normal probability distribution curve, identify which statement is false:             >all the possible...
1) With a normal probability distribution curve, identify which statement is false:             >all the possible probabilities are under the curve.                   >the area under the curve is <1                   >the left side is a mirror image of the right side of the curve                         >the probability that an item could have 5 grams less weight and 5 grams more weight is the same. 2) Asymptotic is the term used to show that the tails of a normal distribution:                  ...
1. For which type of continuous distribution are the mean and the median always the same?...
1. For which type of continuous distribution are the mean and the median always the same? uniform and normal distributions only all of the above uniform distribution exponential distribution normal distribution 2. The skewness of a normal distribution is: negative zero positive something that varies 3. The standard normal probability distribution has a mean of ______ and a standard deviation of ______. 0, 1 1, 0 1, 1 0, 0 4. Any normal probability distribution can be converted to a...
__________ For a continuous random variable x, the area under the probability distribution curve between any...
__________ For a continuous random variable x, the area under the probability distribution curve between any two x-values is always _____. Greater than 1    B) less than zero    C) equal to 1    D) in the range zero to 1, inclusive _________For a continuous random variable x, the total area under the probability distribution curve of x is always ______? Less than1          B) greater than 1              C) equal to 1                      D) 0.5 ___________ The probability that a continuous random variable x...
a. Describe a Normal Distribution of a variable. b. Where in nature can you find a...
a. Describe a Normal Distribution of a variable. b. Where in nature can you find a Normal Distribution? c. What are the characteristics of a Normal Distribution? d. What are the parameters of a Normal Distribution? d. What information can you determine from a normal distribution? In each of the following Exercises 6.4-6.11, assume that the variable under consideration has a density curve. Note that the answers required here may be only approximately correct. 6.4 The percentage of all possible...
The area under a particular normal curve between 9 and 11 is 0.7054. A normally distributed...
The area under a particular normal curve between 9 and 11 is 0.7054. A normally distributed variable has the same mean and standard deviation as the parameters for this normal curve. What percentage of all possible observations of the variable lie between 9 and 11​?
True or False? 19. In a binomial distribution the random variable X is discrete. 20. The...
True or False? 19. In a binomial distribution the random variable X is discrete. 20. The standard deviation and mean are the same for the standard normal distribution. 21. In a statistical study, the random variable X = 1, if the house is colonial and X = 0 if the house is not colonial, then it can be stated that the random variable is continuous. 22. For a continuous distribution, P(X ≤ 10) is the same as P(X<10). 23. For...
Which of the following about a normal distribution is true? The sample mean equals the population...
Which of the following about a normal distribution is true? The sample mean equals the population mean if the sample and the population are both normally distributed The area under the curve to the right of mean is .50 It is a classical probability distribution where each outcome is equally likely. The smaller the standard deviation, the flatter the curve will be