4 hours 30 minutes = ? Minutes
1 answer:
The answer is: " 270 minutes " .
__________________________________________________________
→ There are "270 minutes" in "4 hours and 30 minutes" .
__________________________________________________________
Explanation:
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Method 1):
__________________________________________________________
Note: 60 minutes = 1 hour (exactly);
30 minutes = ? hr ? ;
→ (30 minutes) * (1 hr/ 60 minutes) ;
= (30/60) hr = (3/6) hr = (3÷3)/(6÷3) hr ;
= "
hr " ;
or; write as: " 0.5 hr " .
_________________________________________________________
So "4 hours & 30 minutes" = 4 hours + 0.5 hours = 4.5 hours.
→ 4.5 hours = ? minutes ;
The answer is: " 270 minutes" . 4.5 hours *
;
= (4.5 * 60) minutes = " 270 minutes " .
→ The answer is: " 270 minutes ".
___________________________________________________________
Method 2)
___________________________________________________________
"4 hours and 30 minutes" = <u> ? </u> minutes " .
___________________________________________________________
→ " 4 hours = <u> ? </u> minutes " ;
→ 4 hr . * = (4 * 60) minutes = 240 min. ;
→ There are " 240 minutes in 4 hours" .
→ To find the number of "minutes" in "4 hours and 30 minutes" ;
→ we takes the number of minutes in 4 hours—which is "240 minutes"—and add "30 minutes" to that number; as follows:
→ " 240 minutes + 30 minutes " ;
to get: " 270 minutes " .
_______________________________________________________
→ There are "270 minutes" in "4 hours and 30 minutes" .
_______________________________________________________
The answer is: " 270 minutes " .
_______________________________________________________
__________________________________________________________
→ There are "270 minutes" in "4 hours and 30 minutes" .
__________________________________________________________
Explanation:
__________________________________________________________
Method 1):
__________________________________________________________
Note: 60 minutes = 1 hour (exactly);
30 minutes = ? hr ? ;
→ (30 minutes) * (1 hr/ 60 minutes) ;
= (30/60) hr = (3/6) hr = (3÷3)/(6÷3) hr ;
= "
or; write as: " 0.5 hr " .
_________________________________________________________
So "4 hours & 30 minutes" = 4 hours + 0.5 hours = 4.5 hours.
→ 4.5 hours = ? minutes ;
The answer is: " 270 minutes" . 4.5 hours *
= (4.5 * 60) minutes = " 270 minutes " .
→ The answer is: " 270 minutes ".
___________________________________________________________
Method 2)
___________________________________________________________
"4 hours and 30 minutes" = <u> ? </u> minutes " .
___________________________________________________________
→ " 4 hours = <u> ? </u> minutes " ;
→ 4 hr . *
→ There are " 240 minutes in 4 hours" .
→ To find the number of "minutes" in "4 hours and 30 minutes" ;
→ we takes the number of minutes in 4 hours—which is "240 minutes"—and add "30 minutes" to that number; as follows:
→ " 240 minutes + 30 minutes " ;
to get: " 270 minutes " .
_______________________________________________________
→ There are "270 minutes" in "4 hours and 30 minutes" .
_______________________________________________________
The answer is: " 270 minutes " .
_______________________________________________________
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Answer:
Mean weight gained of two goods is not significantly different under 0.05 or 0.01 significance level, but it is under 0.10 significance level.
Step-by-step explanation:
We need to calculate the z-statistic of the differences of sample means and compare if it is significant under a significance level.
Z-score can be calculated using the formula:
z= where
- X is the mean weight gain for in the first three months after birth for babies using the Gibbs products.
- Y is the mean weight gain for in the first three months after birth for babies using the competitor products
- s(x) is the population standard deviation of the sample for Gibbs brand
- s(y) is the population standard deviation of the sample for competitor brand
- N(x) is the sample size for babies used Gibbs product
- N(y) is the sample size for babies used competitor product.
putting the numbers in the formula:
z= ≈ -1.51
and z-table gives that P(z<-1.51) = 0.0655
To conclude if the competitor good is significantly better, we need to choose a significance level and compare it to 0.0655.
For example, the difference in mean weight gained of two goods is not significant under 0.05 or 0.01 significance since 0.0655 is bigger than these values. But we can conclude that under 0.10 significance, competitor brand mean weight gain is significantly more than the Gibbs brand mean weight gain.