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14. TRUE or FALSE? If X is any normal distribution, then about 95% of all observations...
1. True or False: (1pt each) (T) (F) If a distribution is normal, then it is...
1. True or False: (1pt each) (T) (F) If a distribution is normal, then it is not possible to randomly select a value that is more than 4 standard deviations from the mean. (T) (F) Normal distribution is a discreet probability distribution for a random variable. (T) (F) If the variable follows a binomial distribution, then about 68 % of the variables are within 1 SD of the mean, about 95% of the variables are within +2 SD of the...
In the normal distribution about 95% of the area lies within the three standard deviations from...
In the normal distribution about 95% of the area lies within the three standard deviations from the mean. TRUE OR FALSE
Question 183 pts In a normal distribution, what percentage of sample observations fall between the mean...
Question 183 pts In a normal distribution, what percentage of sample observations fall between the mean and .71 standard deviations above or below the mean? 1.96% 76.11% 26.11% 13.6%
A random variable X is normally distributed. Let F (x) be the CDF of X. Observations...
A random variable X is normally distributed. Let F (x) be the CDF of X. Observations of a very large sample size shows that F (20.21) = 0.025 and F(41.63) = 0.975. Determine the following probability: P (X < 35.00). Hint: for a normal distribution, about 95% of the scores falls within plus or minus two standard deviations from the mean.
What proportion of the data from a normal distribution is within two standard deviations from the mean?
QUESTION 7 What proportion of the data from a normal distribution is within two standard deviations from the mean? A. 0.4772 B. 0.9544 C. 0.3413 D. 0.6826 QUESTION 8 The total area under the curve f(x) of any continuous random variable x is equal to one. True False QUESTION 9 Determine the value of zo which satisfies P(z > z0) = 0.7995.
Which of the following is true concerning the standard normal distribution? Question 46 options: 95% of...
Which of the following is true concerning the standard normal distribution? Question 46 options: 95% of the area under the curve is within ±1 standard deviations of the mean. The mean µ= 0 and the standard deviation σ = 1. All of the these. Its shape is uniform.
1. Select all true statements about sample mean and sample median. A) When the population distribution...
1. Select all true statements about sample mean and sample median. A) When the population distribution is skewed, sample mean is biased but sample median is an unbiased estimator of population mean. B) When the population distribution is symmetric, both mean and sample median are unbiased estimators of population mean. C) Sampling distribution of sample mean has a smaller standard error than sample median when population distribution is normal. D) Both mean and median are unbiased estimators of population mean...
this three questions 3.22 The proportion of observations from a standard Normal distribution that take values...
this three questions
3.22 The proportion of observations from a standard Normal distribution that take values greater than 1.78 is about (a) 0.9554. (b) 0.0446. (c) 0.0375. The proportion of observations from a standard Normal distribution that take values between 1 and 2 is about (a) 0.025. (b) 0.135. (c) 0.160. The scores of adults on an IQ test are approximately Normal with mean 100 and standard deviation 15 Alysha scores 135 on such a test. She scores higher than...
In a 95% confidence interval. i 1-0.0s is called the confidence coefficient. A) True lB) False...
In a 95% confidence interval. i 1-0.0s is called the confidence coefficient. A) True lB) False If a 95% confidence interval on the mean has a lower limit of 10 and an upper limit that 95% of the time the true value of the mean is between 10 and 15. ) True B) False For a fixed value of the standard deviation and a fixed sample size, a confidence inte population mean will get longer as the level of confidence...
1) The probability in a continuous distribution is the height under the curve. TRUE or FALSE?...
1) The probability in a continuous distribution is the height under the curve. TRUE or FALSE? 2) 99% of the data in a normal distribution lies within 2 standard deviations of the mean. TRUE or FALSE? 3) The sample is generally larger than the population. TRUE or FALSE?
1. True or False: (1pt each) (T) (F) If a distribution is normal, then it is not possible to randomly select a value that is more than 4 standard deviations from the mean. (T) (F) Normal distribution is a discreet probability distribution for a random variable. (T) (F) If the variable follows a binomial distribution, then about 68 % of the variables are within 1 SD of the mean, about 95% of the variables are within +2 SD of the...
A random variable X is normally distributed. Let F (x) be the CDF of X. Observations of a very large sample size shows that F (20.21) = 0.025 and F(41.63) = 0.975. Determine the following probability: P (X < 35.00). Hint: for a normal distribution, about 95% of the scores falls within plus or minus two standard deviations from the mean.
this three questions
3.22 The proportion of observations from a standard Normal distribution that take values greater than 1.78 is about (a) 0.9554. (b) 0.0446. (c) 0.0375. The proportion of observations from a standard Normal distribution that take values between 1 and 2 is about (a) 0.025. (b) 0.135. (c) 0.160. The scores of adults on an IQ test are approximately Normal with mean 100 and standard deviation 15 Alysha scores 135 on such a test. She scores higher than...
In a 95% confidence interval. i 1-0.0s is called the confidence coefficient. A) True lB) False If a 95% confidence interval on the mean has a lower limit of 10 and an upper limit that 95% of the time the true value of the mean is between 10 and 15. ) True B) False For a fixed value of the standard deviation and a fixed sample size, a confidence inte population mean will get longer as the level of confidence...
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