BUSINESS ADMINISTRATION
RESEARCH METHODOLOGY
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
|
at the high end of the distribution
|
|
|
at the low end of the distribution
|
|
|
in the center of the distribution
|
|
|
all data comes under in central
|
Detailed explanation-1: -Central tendency means most scores(68%) in a normally distributed set of data tend to cluster in the central tendency area.
Detailed explanation-2: -In the Normal distribution with mean µ and standard deviation : Approximately 68% of the observations fall within of µ. Approximately 95% of the observations fall within 2 of µ. Approximately 99.7% of the observations fall within 3 of µ.
Detailed explanation-3: -The center line of the normal density curve is at the mean . The change of curvature in the bell-shaped curve occurs at – and + . A normal distribution is described by a normal density curve. Any particular normal distribution is completely specified by its mean and standard deviation .
Detailed explanation-4: -Normal (Gaussian) Distributions It is bell-shaped with a single peak in the center, and it is symmetrical. If the distribution is perfectly symmetrical with a single peak in the center, then the mean value, the mode, and the median will be all be the same.
Detailed explanation-5: -There are more scores in the center than in a normal distribution. It is leptokurtic. You use it when you do not know the population standard deviation. A t distribution with 20 degrees of freedom has 95% of its distribution within 1.96 standard deviations of its mean.