biostats lab probability distribution

Question 1

A function whose values are_____
determined by the elements of the _____

Answer 1

random variable; real numbers; sample space

Question 2

any variable (or a data
point) with a random value that is predetermined
by the _____

Answer 2

random variable; outcome of the experiment

Question 3

difference between continuous and discrete

Answer 3

continuous= fraction, decimal
discrete= integer, whole number

Question 4

applies the theory of probability to describe the behavior of random variables

Answer 4

probability distribution

Question 5

what is a discrete probability distribution

Answer 5

applies the theory of probability to describe the behavior of random variables wherein it specifies all possible outcomes and the probability that each will occur

Question 6

aids in the determination of the average of a set of data by knowing the distinct values that occur and their relative frequencies, without _____

Answer 6

mathematical expectation; without knowledge of the total number of observations in our set of data.

Question 7

other terms for mathematical expectation

Answer 7

expected value/ mean of the probability distribution

Question 8

what is the mathematical expectation equation

Answer 8

mean= summationn of x= Summation of x f of x

Question 9

is a ____ probability distribution that maps the behavior of a binomial random variable.

Answer 9

binomial probability distribution; discrete

Question 10

what do u call the equation of binomial, why?

Answer 10

probability density function, we try to know the density of the curve

Question 11

The most important and common continuous probability distribution is the normal distribution or the Gaussian distribution. Its probability density function is given as follows:

Answer 11

Normal distribution

Question 12

The properties of the Normal Distribution is as follows:

Answer 12

Bell-shaped distribution, symmetrical about the mean.
2. Mean = Median = Mode.
3. Total area under the curve is one.
4. Has long tapering tails which extend indefinitely in either
direction corresponding to an infinite range of x values in the distribution.

Question 13

what determines the shape of the curve

Answer 13

standard deviation

Question 14

what determines the location of the curve

Answer 14

mean

Question 15

positive skewness means

Answer 15

skew to the right
mean> median> mode

Question 16

negati

Question 17

negative skewness means

Answer 17

skew to the left
mean<median<mode

Question 18

Since a normal distribution could have an infinite number of possible values for its mean and standard deviation,____ so ano ginawa

Answer 18

it is impossible to tabulate the area associated with each and every normal curve.

instead of having a table for all distribution we convert all normal distributions into a standard normal distribution wherein we use mean=0 and std= 1 by having a z- score table

Question 19

why z score

Answer 19

because it organizes and it makes it easy for us to have a standard values when comparing data, instead of having diff tables for each distribution