Random Variable
Random Variable
Random Variable
Random Variable
Random Variable
100

A random variable that can take countable values is called ______.

continuous

100

The sum of all probabilities in a probability distribution is equal to _____.


1

100

The expected value of a random variable is also known as the _____.


Mean

100

Which symbol is used for the mean of a random variable?


μ

100

A normal distribution curve is ______.

Symmetric

200

The set of all possible values of a random variable is called its ______.


Range

200

The highest point of the normal curve represents the ______.

Mean

200

The standard normal table gives the ______ under the curve.


Area

200

A small variance indicates that the values are ______.

close to the mean          

200

The number of customers entering a store per hour is a ______ random variable.

Discrete

300

Which graph is commonly used to illustrate a probability distribution?


Histogram

300

What happens to the z-score if the value is above the mean?

Positive

300

Which best explains the difference between discrete and continuous random variables?


Discrete is counted; continuous is measured

300

Z-scores are used to ______.
    A. find variance           B. locate values on the normal curve     C. count frequencies   D. draw graphs

locate values on the normal curve

300

The standard deviation of a standard normal distribution is _____.


1

400

Why is the normal distribution important in statistics?
    A. It only applies to games                                                            B. It models many real-life situations
    C. It replaces probability                                                              D. It avoids computation

B. It models many real-life situations

400

Percentiles show the ______ of a value in a distribution.
    A. position                        B. frequency                    C. variance             D. mean

Frequency

400

Why must probabilities in a distribution add up to 1?
        A. To find variance                                                                 B. To represent all possible outcomes
        C. To compute z-score                                                           D. To draw the curve

To represent all possible outcomes

400

 A random variable X has a mean of 6 and a standard deviation of 2. Find the corresponding z-score for x = 11.

2.5

400

Who discovered the Bell- Shaped Curve of a normal curve.

Carl Friedrich Gauss

500

What does the mean of a probability distribution represent?
              A. Most frequent value                B. Expected outcome                    C. Spread of data                       D. Highest probability

Highest probability

500

Which region under the normal curve represents most of the data?
    A. Far tails        B. Center          C. Right tail             D. Left tail

Center

500

The scores in the summative test of 11- TVL B are normally distributed with a mean of 65 and a standard deviation of 12. Find the probability that some students got a score below 40.

P(Z<−2.08)≈0.0188 1.88% 


500

What is the area under the curve for z= -1.43

0.0764

500

Give atleast 4 characteristics of a normla curve.

1.The distribution curve is bell- shaped.

2.The curve is symmetrical about its mean.

3.The mean, median and mode coincide at the center.

4.The curve is asymptotic to the base line.

5. Classified by two parameters: Mean-represent location and standard deviation represent spread.

6. The width of the curve is determined by the standard deviation of the distribution.

7. The area under the curve is 1.