= 84/177100
Step-by-step explanation:
Here 9 mid sized
16 compact cars
selected = 6
= 84/177100
for 3 mid sized
3 compact cars
then
3Cx/9Cx
divide by 3 we get
Cx/3Cxtaking Cx coomon
it become Cx =1/3 hence the probability is 1/3
= 84/177100
Step-by-step explanation:
Here 9 mid sized
16 compact cars
selected = 6
= 84/177100
for 3 mid sized
3 compact cars
then
3Cx/9Cx
divide by 3 we get
Cx/3Cxtaking Cx coomon
it become Cx =1/3 hence the probability is 1/3
0.625
Step-by-step explanation:
Given
A lucky customer will get to randomly select a key among 80 cars
There are 38 foreign models
50 compact models
22 Foreign compact models
Probability that the lucky customer will win a non foreign compact car
0.625
Step-by-step explanation:
Given
A lucky customer will get to randomly select a key among 80 cars
There are 38 foreign models
50 compact models
22 Foreign compact models
Probability that the lucky customer will win a non foreign compact car
The probability of selecting 6 cars which are midsized cars is 0.0046
Step-by-step explanation:
We have given that car rental agency has 13 midsized car
So number of midsized car = 13
Number of compact cars = 18
So total number of car = 13+18 = 31
We have to select 6 cars
And we have to find the probability that all selected car will midsized car
Probability is given by
So the probability of selecting 6 cars which are midsized cars is 0.0046
The probability of selecting 6 cars which are midsized cars is 0.0046
Step-by-step explanation:
We have given that car rental agency has 13 midsized car
So number of midsized car = 13
Number of compact cars = 18
So total number of car = 13+18 = 31
We have to select 6 cars
And we have to find the probability that all selected car will midsized car
Probability is given by
So the probability of selecting 6 cars which are midsized cars is 0.0046
The probability that a randomly selected compact car gets at least 40 miles per gallon is about 1.74%
Step-by-step explanation:
Problems of normally distributed samples are solved using the z-score formula.
In a set with mean and standard deviation , the zscore of a measure X is given by:
The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
In this problem, we have that:
The probability that a randomly selected compact car gets at least 40 miles per gallon is about?
This is 1 subtracted by the pvalue of Z when X = 40. So
has a pvalue of 0.9826
1 - 0.9826 = 0.0174
The probability that a randomly selected compact car gets at least 40 miles per gallon is about 1.74%
The probability that a randomly selected compact car gets at least 40 miles per gallon is about 1.74%
Step-by-step explanation:
Problems of normally distributed samples are solved using the z-score formula.
In a set with mean and standard deviation , the zscore of a measure X is given by:
The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
In this problem, we have that:
The probability that a randomly selected compact car gets at least 40 miles per gallon is about?
This is 1 subtracted by the pvalue of Z when X = 40. So
has a pvalue of 0.9826
1 - 0.9826 = 0.0174
The probability that a randomly selected compact car gets at least 40 miles per gallon is about 1.74%
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