If we plot the data on the graph, we can see that the
data is skewed to the right (positive skew) and there is an outlier. In skewed
data and presence of outlier, the median is most commonly used measure of
central tendency. This is because a positive skew would result in a positive
bias to the mean. Meaning that it would be a lot larger than the median and not
really representing the actual central tendency. The median however is less
affected by the skew and outliers.
Answer: Median, because the data are skewed and there is
an outlier
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Answer:
1/4.(-96)=2x-3
-1/4.96=2x-3
-24=2x-3
-2x-24=-3
-2x=-3+24
-2x=21
x=-21/2
Step-by-step explanation:
Answer:
Step-by-step explanation:
Sample proportion p is the proportion of favourable numbers to total number in the sample
By central limit theorem and also approximation of binomial to normal , we have sample proportion for large number of samples will be normal
with mean = sample proportion
and std deviation = 
Thus we find standard deviation of proportion sample is inversely proportional to the square of the sample size n.
It follows automatically that as sample size increases std deviation decreases.
Here from 80 sample size was made to 200
So std deviation would decrease automatically
30 girls and 42 boys so idk this makes no sense and I'm older than you
If Suzanne can read 1 page in 3 minutes, that means that in ONE hour, she can read 20 pages.
1 page per 3 minute
60minutes : 3 = 20 pages
Now, multiply 20 pages by 5 hours.
20 x 5 = 100.
I hope it helps! (She's pretty slow at reading)
