Answer:
1. True
2. False.
3. True.
Step-by-step explanation:
1. The total area within any continuous probability distribution is equal to 1.00: it is true because the maximum probability (value) is one (1), therefore, the total (maximum) area is also one (1).
<em>Hence, for continuous probability distribution: probability = area</em>.
2. For any continuous probability distribution, the probability, P(x), of any value of the random variable, X, can be computed: False because it has an infinite number of possible values, which can not be counted or uncountable.
<em>Hence, it cannot be computed. </em>
3. For any discrete probability distribution, the probability, P(x), of any value of the random variable, X, can be computed: True because it has a finite number of possible values, which are countable or can be counted.
<em>Hence, it can be computed. </em>
Answer:
Line Segment
Step-by-step explanation:
A line segment has dots on both ends of the line. A line has nothing at either end of it. A ray has an arrow at one end of the line. Line BC is a line segment.
Hope it helps!
Answer:
Total amount spent for meal = $16.65
Step-by-step explanation:
Given:
Amount spent on dinner = $20
Tip = 20%
Find:
Total amount spent for meal
Computation:
Total amount spent for meal = Amount spent on dinner / (1+tip)
Total amount spent for meal = 20 / 1.2
Total amount spent for meal = 16.666
Total amount spent for meal = $16.65
Answer:
It subtracts
Step-by-step explanation:
Answer:
For this case a parameter represent the population data and for this case the parameter would be the true mean 
who represent the amount of gasoline they used in the previous week
And the sample mean is an unbiased estimator of the true mean.
Step-by-step explanation:
For this case a parameter represent the population data and for this case the parameter would be the true mean who represent the amount of gasoline they used in the previous week
And in order to estimate the parameter of interest we use a survey of n =3800 and the sample mean who represent an statistic is given by:
And we got:
And the sample mean is an unbiased estimator of the true mean.
