Epidemiology With Biostatistics

Front 1

Is important in making inferences in statistics

Back 1

Normal probability distribution

Front 2

It has the same shape as the discrete probability distribution and is used to calculate probabilities concerning a population

Back 2

Normal probability distribution

Front 3

Normal probability distribution is commonly known as the?

Back 3

Normal curve

Front 4

The probability distribution for a continuos random variable X is a?

Back 4

Bell-shaped curve

Front 5

The curve is sometimes called?

Back 5

Probability density function

Front 6

Is a function of the random variable X

Back 6

Curve

Front 7

It is usually used as a mathematical model in Inferential Stat

Back 7

Curve

Front 8

What are the 2 most important characteristics of a target population in the sketch of a normal probability distribution

Back 8

Mean; SD

Front 9

Tells the value of a random variable that is expected if the experiment is done repeteadly

Back 9

Mean

Front 10

Indicates how far, on the average, is an observed value of a random variable from its mean

Back 10

SD

Front 11

Is the most important continuos probability distribution in the entire field of stat

Back 11

Normal Curve

Front 12

Normal curve is represented by a?

Back 12

Bell-shaped curve

Front 13

The probablity distribution of the normal curve is called a?

Back 13

Normal distribution

Front 14

It occupies a central place in the study of the theory of Stat

Back 14

Normal curve

Front 15

Basic for solving different types of statistical problems

Back 15

Normal curve

Front 16

It is one of the models for the population relative frequency distribution

Back 16

Normal curve

Front 17

Normal curve is also known as?

Back 17

Symmetrical distribution or Gaussian distribution

Front 18

Who developed the mathematical equation of normal curve?

Back 18

Abraham de Moivre

Front 19

Abramhan de Moivre developed the mathematical equation of normal curve in/on?

Back 19

1974

Front 20

He was the first who helped the gamblers in the 18th century

Back 20

Abraham de Moivre

Front 21

Who further developed the concept of probability

Back 21

Gauss and Laplace

Front 22

The total area under the normal curve and above the horizontal axis is eqaul to?

Back 22

1 or 100%

Front 23

One SD from the mean is?

Back 23

68.26%

Front 24

Two SD from the mean is?

Back 24

95.44%

Front 25

Three SD from the mean is about?

Back 25

99.74%

Front 26

It is the position of a value of x in terms of the number of SD, which is located from the mean

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Standard score

Front 27

Is defined as a measure of a relative standing

Back 27

Standard score

Front 28

It measures the distance between an observation and the mean, measured in units of standard dev

Back 28

Standard Score

Front 29

Z?

Back 29

Standard score

Front 30

ò?

Back 30

Population standard deviation

Front 31

s?

Back 31

Sample Standard deviation

Front 32

M?

Back 32

Population mean

Front 33

X?

Back 33

any empirical value of the distribution

Front 34

X bar

Back 34

Sample mean

Front 35

A distribution with mean equal to zero and SD is equal to 1

Back 35

Standard Normal Distribution

Front 36

In SND the area is simply the graphical representation of

Back 36

Percentage

Probability

Proportion