Answer:
Step-by-step explanation:
Given : An automobile manufacturing plant produced 30 vehicles today: 10 were sedans, 9 were vans, and 11 were trucks.
Number of combinations of n things taking r at a time :
Number of ways to choose two vehicles out of 30 vehicles :-
Number of ways to choose two trucks out of 11 vehicles :-
Now, the the probability that two trucks will be selected will be :-
Complete question
Shop A _________________ shop B £3
Any sandwich - £2.85 ___ sandwich, water crisp
A bottle of water - 60p
A bag of crisp - 85p
Answer:
£6.50, John is incorrect
Step-by-step explanation:
Number of working days = 5 = number of days meal is purchased
Total cost per meal, shop A :
£(2.85 + 0.60 + 0.85) = £4.3
Total cost for the week = 4.3 * 5 = £21.50
Total cost per meal cost Shop B = £3
Total cost for the week = 3 * 5 = £15
Difference :
£21.50 - £15 = £6.50
Hence, Amount John saves by buying from shop B is £6.50
Numbe
Answer:
y=5x+2/3
Step-by-step explanation:
if y is negative you put that first equaling -5x because you are subtracting -2/3
seeing as the y has to be positive in the equation therefore you must multiply the whole equation by a negative in order to get the y to be postitive.
Answer:
In order to test the hypothesis if the correlation coefficient it's significant we have the following hypothesis:
Null hypothesis:
Alternative hypothesis:
The statistic to check the hypothesis is given by:
And is distributed with n-2 degreed of freedom. df=n-2=10-2=8
For this case the null hypothesis represent that we don't have association betwen the dependent variable Y and the independent variable X and that means r=0. So then the best option for this case is:
The null hypothesis for the Pearson correlation coefficient states that the correlation coefficient is zero
Step-by-step explanation:
Previous concepts
The correlation coefficient is a "statistical measure that calculates the strength of the relationship between the relative movements of two variables". It's denoted by r and its always between -1 and 1.
And in order to calculate the correlation coefficient we can use this formula:
Solution to the problem
In order to test the hypothesis if the correlation coefficient it's significant we have the following hypothesis:
Null hypothesis:
Alternative hypothesis:
The statistic to check the hypothesis is given by:
And is distributed with n-2 degreed of freedom. df=n-2=10-2=8
For this case the null hypothesis represent that we don't have association betwen the dependent variable Y and the independent variable X and that means r=0. So then the best option for this case is:
The null hypothesis for the Pearson correlation coefficient states that the correlation coefficient is zero
Answer:
I think it would be 50.27 inches