Answer: 0.5714
Step-by-step explanation:
Answer:
It would roll in this direction.
Step-by-step explanation:
It would roll to the direction of maximum decrease, which is the -1 times the direction of maximum increase, which is given by the gradient of the function.
Since
For this case, the gradient of your function would be
And -1 times the gradient of your function would be
Then, at
So it would go towards
The magnitud of that vector is
and to conclude it would roll in this direction.
Answer:
No, the Roger’s claim is not correct.
Step-by-step explanation:
We are given that Roger claims that the two statistics most likely to change greatly when an outlier is added to a small data set are the mean and the median.
This statement by Roger is incorrect because the median is unaffected by the outlier value and only the mean value gets affected by the outlier value.
As the median represents the middlemost value of our dataset, so any value which is an outlier will be either at the start or at the end will not the median value. So, the median will not likely change when an outlier is added to a small data set.
Now, the mean is the average of all the data set values, that is the sum of all the observations divided by the number of observations. The mean will get affected by the outlier value because it take into account each and every value of the data set.
Hence, the mean will likely to change greatly when an outlier is added to a small data set.
Answer:
$46.42
Step-by-step explanation:
a=price after discount (without sales tax)
a/55=20/100
100a=55·20
100a/100=1,100/100 (the 1,100 is from the 55·20)
You get 11 and then you have to subtract 11 from 55.
55-11=44, so a=44
Then you multiply 44·0.055 (you get 0.055 because you have to make 5.5% a decimal. You get 2.42.
You add 2.42 and 44 and you get $46.42
40%*2=80 I hope I helped!
