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:
Ms D left at 6:40 AM
Step-by-step explanation:
Given:
MS D arrived at school at 7:30 AM
time spent for dinner = 35 mins
Time taken to to go to school = 15 mins
We will first find the Total time taken after leaving.
Total time taken can be calculated by adding time spent for dinner and Time taken to to go to school.
Total time taken after leaving = time spent for dinner + Time taken to to go to school = 35 +15 = 50 mins
MS D arrived at school at 7:30 AM.
Hence Time Ms D left = Time She arrive at school - Total time taken after leaving = 7 hrs 30 min - 50 mins = 6 hrs 40 mins.
Hence Ms D left at 6:40 AM.
P=2(l+w)
190=2[(2l+5)+l)
190=4l+10+2l
190=6l+10
180=6l
l=30
190=2(30+w)
190=60+2w
130=2w
w=65
The width of the rectangle is 65.
Between 1 and 2 would be decimals.
E.g: 1.1, 1.2,1.3 etc
The answer is B. have a good night
