Question

which of the following is true for normal probability distribution? The distribution is right skewed when...

which of the following is true for normal probability distribution?

  1. The distribution is right skewed when the mean is greater than 100
  2. The probability of X being between two particular values is equivalent to the under the density curve between the two particulars value.
  3. The density curve can appear above and below the x axis
  4. The probability that X=x can be any value between 0 and 1

Homework Answers

Answer #1

Solution:

We have to identify the TRUE sentence from given 4 sentences.

Answer is

The probability of X being between two particular values is equivalent to the under the density curve between the two particulars value.

Option b. is correct.

Explanation:

Statement a is incoorect . Because the normal distribution is always symmetric . Not skewed.

Statement c is incorrect. Because the probability never negative. It lies between 0 to 1. So , density curve cannot appear below the x axis

Statement d is incorrect. The normal distribution is a continuouis type distribution. In this type , the probability at a particular point is considered as zero. We find cumulative probability.

So answer is

The probability of X being between two particular values is equivalent to the under the density curve between the two particulars value.

Option b. is correct.

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
Which of the following is a characteristic of the normal distribution? A. The standard deviation equals...
Which of the following is a characteristic of the normal distribution? A. The standard deviation equals to 0. B. The mean equals to 1 C. The curve Is symmetrical D. The bell curve is skewed The normal distribution curve has the property of being asymptotic; this means that . A. The area under the curve is not skewed to the left B. The curve is symmetrical C. The area under the curve is not skewed to the right D. The...
Assume for a moment that we have a population distribution that is negatively skewed. Which probability...
Assume for a moment that we have a population distribution that is negatively skewed. Which probability distribution becomes normal as the size of the sample increases? population distribution sample distribution sampling distribution None of the above The standard error of the mean refers to the standard deviation of the... normal distribution population sample sampling distribution None of the above Which type of error can be quantitatively measured: sampling error non-sampling error both neither The purpose of statistical inference is to...
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:                  ...
Which of the following is false? The normal distribution is defined by two parameters, the mean...
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...
1. If random variable X follows a Normal probability distribution, a negative Z score means (a)...
1. If random variable X follows a Normal probability distribution, a negative Z score means (a) The value of X is negative (b) The value of X is less than the mean (c) The value of X is greater than the mean (d) the correlation between X and Z is negative (e) none of the above. 2. Which of the following statements is not true about the Normal Curve (a) The total area under the Normal Curve is 1. (b)...
Which of the following statements is not true about continuous probability distributions? Select one: a. The...
Which of the following statements is not true about continuous probability distributions? Select one: a. The probability of any event is the area under the density curve over the range of values that make up the event. b. The total area under the density curve must be exactly 1. c. If X is a continuous random variable taking values between 0 and 500, then P(X > 200) = P(X ? 200). d. There are no disjoint events in continuous probability...
__________ 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...
The distribution of college students’ commute time is skewed to the right with the mean 20...
The distribution of college students’ commute time is skewed to the right with the mean 20 minutes and the standard deviation 30 minutes. 1. Let X¯ be the sample mean commute time of a random sample of 9 students. What are (i) the mean and (ii) variance of X¯? (iii) Is the distribution of X¯ normal? (iv) Why or why not? 2. Let X¯ 100 be the sample mean commute time of a random sample of 100 students. What is...
7. Annual Incomes are known to have a distribution that is skewed to the right instead...
7. Annual Incomes are known to have a distribution that is skewed to the right instead of being normally distributed. Assume that we collect a large (n>30) random sample of annual incomes. a. Can the distribution of incomes in that sample be approximated by a normal distribution because the sample is large? Why or why not? b. What is the approximate shape of the distribution of the sample means (Uniform, normal, skewed, other?) c. What value do the sample means...
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
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT