What does the symmetric bell shape of the normal curve imply about the distribution of individuals in a normal population? [2 sentences]
The symmetric shape of normal distribution implies that there are equal number of individuals above and below the mean of the distribution. It also implies that the distribution is not skewed towards any direction and hence the mean, median and mode of the distribution is the same.
What does the symmetric bell shape of the normal curve imply about the distribution of individuals...
The shape of the normal probability density function is a symmetric bell-shaped curve centered on the: A variance. B standard deviation. C coefficient. D mean
Describe the standard normal distribution. What are its characteristics? Choose the correct answer below. O A. The standard normal distribution is a normal probability distribution with mean u = 0 and standard deviation o = 1. Similar to any normal probability distribution, it has associated with it a bell-shaped curve, symmetric about a vertical line through u with inflection points at o and -o. The Z-scores theorem, along with a table of areas under this standard normal curve can be...
* Select all the True statements about the normal probability distribution.* a) The random variable takes any value. b) The distribution has one mode and has positive skew c)The mean, median, and mode are equal. d) Standardizing an observation of any normal distribution allows the use of the standard normal (Z) distribution tables. e) The distribution has one mode and is bell shape. f) The area under the bell curve is 1 exactly. g) The random variable does not take...
Information about a sample is given. Assume that the sampling distribution is symmetric and bell-shaped. p^ = 0.27 and the standard error is 0.10 use this information to give a 95% confidence interval
Information about a sample is given. Assume that the sampling distribution is symmetric and bell-shaped. T57 and the standard error is 4 X Incorrect. (b) Use the information to givea 95% confidence interval. The 95% confidence interval is 49.16 to 64.84 eTextbook and Media Hint
In a standard normal distribution bell curve, the proportion of the total area which must be to the left of the mean is and the total area under the curve is A: between 0.25 and 0.60; 0.50 and 1.20 B: exactly 0.50; 1 C: less than 0.50 if the distribution is skewed to the left; 1 D: more than 0.50 if the distribution is skewed to the right; 1
Information about a sample is given. Assume that the sampling distribution is symmetric and bell-shaped. X1 - 12 = 3.2 and the margin of error for 95% confidence is 0.5. (a) Indicate the parameter being estimated. Hi H2 :: P :: P :: Pi :: P2 :: The parameter of interest is (b) Use the information to give a 95% confidence interval. The 95% confidence interval is i to
Information about a sample is given. Assume that the sampling distribution is symmetric and bell-shaped. r=0.30 and the standard error is 0.03 . Indicate the parameter being estimated. which is P b) Use the information to give a 95% confidence interval. The 95% confidence interval is to I need to find the 95 % confidence interval
. In probability theory, the Normal Distribution (sometimes called a Gaussian Distribution or Bell Curve) is a very common continuous probability distribution. Normal distributions are important in statistics and are often used in the natural and social sciences to represent real-valued random variables whose distributions are not known. Describing the normal distribution using a mathematical function is called a probability distribution function (PDF) which is given here: H The mean of the distribution ơ-The standard deviation f(x)--e 2σ We can...
Discuss a sampling distribution by describing 1. A population, 2. A variable on the individuals in that population, 3. a standard deviation for that variable, and 4. the size of a sample from that population. Compare the 5. center, 6. variability, and 7. shape of the sampling distribution of the mean of that sample with those of the population distribution. What does the sampling distribution tell us about the population?