The mean would tell you the average number of repairs per vehicle type. It is the total amount of repairs divided by the total number of vehicles.
The mean absolute deviation (MAD) describes how close the values are typically to the mean. It is an average of the distances the individual points are from the mean. Basically, it tells how spread out the data is.
When simplifying this, we would have to take this little by little in serious steps and not only this, but to also take notice of the use of <u>
pemdas</u>
and to make sure that we take each step carefully.
We first would <u>
</u>
<u>
(first)</u>
simplify the following:
Answer:
5÷4=1,25
each puppy will get 1,25 pound of dry dog food.
Answer:
The degrees of freedom for this sample are 27.
The sample size to get a margin of error equal or less than 0.3656 is n=4450.
Step-by-step explanation:
The degrees of freedom for calculating the value of t are:
With 27 degrees of freedom and 95% confidence level, from a table we can get that the t-value is t=2.052.
The sample size to get a margin of error equal or less than 0.3656 can be calculated as:
Answer:
I think the answer is 5
Hopefully it works :)
Step-by-step explanation: