Answer:
We know that In 1990, the mean duration of long-distance telephone calls originating in one town was 7.2 minutes. And we want to test if the mean duration of long-distance phone calls has changed from the 1990 mean of 7.2 minutes (alternative hypothesis) and the complement rule would represent the null hypothesis.
The correct system of hypothesis are:
Null hypothesis:
Alternative hypothesis:
So then the best option for this case would be:
H0: μ = 7.2 minutes Ha: μ ≠ 7.2 minutes
Step-by-step explanation:
We know that In 1990, the mean duration of long-distance telephone calls originating in one town was 7.2 minutes. And we want to test if the mean duration of long-distance phone calls has changed from the 1990 mean of 7.2 minutes (alternative hypothesis) and the complement rule would represent the null hypothesis.
The correct system of hypothesis are:
Null hypothesis:
Alternative hypothesis:
So then the best option for this case would be:
H0: μ = 7.2 minutes Ha: μ ≠ 7.2 minutes
And in order to test the hypothesis we can use a one sample t test or z test depending if we know the population deviation or not
Answer:
qwertyuasdfghjk
Step-by-step explanation:
ashkdsbvnxz egufwoD;vbjxz> n
Hey there! :D
So, we know that Jane received $9 out of the $30.
Divide 9 by 30.
9/30= .3
Turn that into a percentage.
.3= 30%
We can check this by finding the other percentages.
Ruth= 15 15/30= .5 50%
Mary= 6 6/30= .2 20%
30%+20%+50%= 100% <== this works
I hope this helps!
~kaikers
One strategy is to subtract 168 from the amount you never told us. Or you can keep adding to 168 until you reach the desired amount. The answer is X-168 where X=total amount of coins that you never told us about.
Answer:
you can use the cikg method