Answer: Option (B) is correct.
Step-by-step explanation:
The number of points scored during a basketball game is a discrete random variable.
Discrete Random variable:
A discrete random variable is a variable whose value can be evaluated by counting. It is also referred as a countable and finite values. Examples of discrete random variable are as follows:
-The quantity of runs scored during a ball game
- Number of hits a site gets during seven days
- Number of lights that wear out in the following year in a stay with 13 bulbs
- Number of pigeons in a city
- Number of free-toss endeavors before the principal shot is missed
Answer:
9cm
Step-by-step explanation:
3/12 is equal to 1/4 ratio between the size of the window and the building.
Apply that ratio to the the 36 centimeters to get 36/4 which is equal to 9 centimeters.
In 44 liquid quarts, there are 88 liquid pints. 2 pints per 1 quart. Hope this helps ;)
Answer:
y = 2.5x
Step-by-step explanation:
y = mx + b
m=2.5 (slope) --> y=2.5x+b
coordinate : (2,5) 2 is the x coordinate, 5 is the y coordinate
to Find b, input the coordinate --> 5 = 2.5(2) + b
5 = 5 + b
0=b
y= 2.5x
This is only since it asked to solve using the point. If you look at the graph, the line intercepts the y-axis at (0,0) so b=0.
hope this helps
The mean of the given sample data is 210, and the standard deviation is 7.937.
Given size 'n' = 300
The population proportion 'p' = 0.7
Let 'x' be the random variable of the binomial distribution
a) mean of the binomial distribution = n p = 300 × 0.7
μ = 210
b) variance of the binomial distribution
⇒ n p q
⇒ 300 × 0.7 ×0.3
⇒ σ² = 63
The standard deviation of the binomial distribution:
⇒ √n p q = √63 = 7.937
Thus, the mean of the given sample data is 210, and the standard deviation is 7.937.
Learn more about the standard deviation here:
brainly.com/question/16555520
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The question seems to be incomplete the correct question would be:
describe the sampling of p hat. Assume that the size of the population is 25000 n= 300 p=0.7 a) Determine the mean of the sampling distributionb) Dtermine the standard deviation of the sampling distribution
