Answer: 170.25
Step-by-step explanation:
<u>Quick version</u>
Step 1: Convert 15 percent to decimal
![15\%\:=\frac{15}{100}\\\\= 15 \%](https://tex.z-dn.net/?f=15%5C%25%5C%3A%3D%5Cfrac%7B15%7D%7B100%7D%5C%5C%5C%5C%3D%2015%20%5C%25)
Step 2: Multiply 0.15 to 1135
![0.15\cdot \:1135\\\\=170.25](https://tex.z-dn.net/?f=0.15%5Ccdot%20%5C%3A1135%5C%5C%5C%5C%3D170.25)
170.25 is 15 percent of 1135.
Answer:
Based on what I see, it would be D.
Step-by-step explanation:
Because the x-side is +1 all the way down and the y-side is +5 for all.
So:
x-side (+1): 1+1 =2 / 2+1=3 / 3+1=4
y-side (+5): -5+5=0 / 0+5=5 / 5+5=10
Answer:
The correct ratio is 7:8, so no, Emma is not correct.
Answer:
Option B is right
Step-by-step explanation:
given that the distribution of 27 salaries at a small company has mean $35,000 and standard deviation $2,000.
When an extreme outlier such as 120000 is included for 28th employee we find that mean would jump up.
Since original median was 14th item, now with one more, new median would be average of 14th and 15th. Hence median may change.
Range will definitely change because maximum shifted up to 120000
Hence we can say
mean increases , median change and range changes.
Hence we find that Option B is right.
Answer:
3.60
Step-by-step explanation:
Data provided in the question:
level of significance = 0.05
Sample size , n = 25 observations
correlation coefficient, r = 0.60
Now,
The test statistic to compute whether the population correlation is zero is given using the formula :
t =![\frac{r\sqrt{n-2}}{\sqrt{1-r^2}}](https://tex.z-dn.net/?f=%5Cfrac%7Br%5Csqrt%7Bn-2%7D%7D%7B%5Csqrt%7B1-r%5E2%7D%7D)
on substituting the respective values, we get
test statics , t = ![\frac{0.60\times\sqrt{25-2}}{\sqrt{1-0.60^2}}](https://tex.z-dn.net/?f=%5Cfrac%7B0.60%5Ctimes%5Csqrt%7B25-2%7D%7D%7B%5Csqrt%7B1-0.60%5E2%7D%7D)
or
t = 3.5968 ≈ 3.60