What is 3 divided 76

2 answers:

6 0

0.0394736842 is the answer

Write 76 <span>)¯3¯¯
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add a 0 next to the 3 ( you will have 30) then on top of the divison bar put a "." one space over the 3 so like
0.
76<span>)¯30¯¯ (lol)

since 76 still cant go into the 3 add another 0 to the 30 ( so you should now have 300) and a 0 next to the "." so you have 0.0 on top.

76 goes into 300 3 times wich is with a reminder of 72. (76x 300 is 228)

write a 3 next to the 0.0 so you have 0.03

write 228 under the 300

subtract. you get 72

write the 72

since 76 cant go into 72 add a 0 to the 300. Drop the 0 to the 72 so you have 720.

I think you can figure out the rest. If not tellme and I will do the next step and you can take it from there
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sleet_krkn [62]3 years ago

4 0

The answer to your question is 0.03947368

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Each year about 1500 students take the introductory statistics course at a large university. This year scores on the final exam

Luba_88 [7]

Answer:

a. Left Skewed

b. More students scored above 70

c. No

d. 0.0008

e. standard deviation increases by 1.4142

Step-by-step explanation:

a. The distribution is Left skewed. The maximum possible score is 100 and the mean is 70, hence, there is a barrier preventing a long right tail.

-The scores to the left is only 20, the left therefore is longer.

-The median, 74, is higher than the mean, 70, thus the mean is more left leaning.

b.More students will score more than 70.

-the median is 74 suggesting that 50% plus have scored 74points +

- Given the mean is 70 points, it's therefore obvious that more than 50% of the students have score more than 70 points.

c. No. This is not a normal distribution therefore we cannot calculate the probability that a randomly chosen student scored above 75 using this distribution.

d. The sample size n is large, n>30, so we can use the central limit theorem to approximate the probability:

$Standard \ Error=\frac{\sigma}{\sqrt{n}}\\\\=\frac{10}{\sqrt{40}}\\\\=1.5811\\\\z=\frac{75-70}{1.5811}\\\\=3.1623\\\\\\(PX>70)=P(z>3.1623)\\\\=0.0008\\$