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3 years ago

Help plss (find the perimeter) thx

Mathematics

1 answer:

LiRa [457]3 years ago

3 0

Answer:

64 units

Step-by-step explanation:

divide the shape into two shapes:

first one: 15+15+4+4=38

second shape:7+7+6+6=26

pweimwter for the whole shape: 38+26=64 units

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13. What is the surface area of the rectangular solid below using its net?

loris [4]

Answer:

108 square units

<h3>Step-by-step explanation:</h3>

3 x 4 = 12

6 x 3 = 18

6 x 4 = 24

24(2) + 18(2) + 12(2) = 108 square units

Therefore, the surface area of the rectangular solid below using its net is 108 square units

4 0

2 years ago

Please help me I don't understand this at all

saveliy_v [14]

Answer:

a) θ = $\frac{4}{3}\pi$ b) r = 31.27 inch

Step-by-step explanation:

(a)

area of sector: $\frac{1}{2}$ * r² * θ

384 = $\frac{1}{2}$ * r² * θ

384 = $\frac{1}{2}$ * (24)² * θ

θ = 384/288

θ = $\frac{4}{3}\pi$

(b)

384 = $\frac{1}{2}$ * r² * $\frac{\pi }{4}$

r² = 384 * 2 * $\frac{4}{\pi }$

r² = 977.848

r = √977.848

r = 31.27 inch

6 0

3 years ago

While cooking soup, Marry used 5 7 of a shaker of salt and 3 5 of a shaker of pepper. How much more salt was used than pepper?

Ymorist [56]

There was 22 more shakers of salt than pepper

7 0

3 years ago

Read 2 more answers

A coin is tossed seven times and the sequence of heads and tails is observed. what is the number of different outcomes having ex

Margaret [11]

You could make a tree diagram
H T ← 1st toss

H T H T ← 2nd toss

H T H T H T H T ← 3rd toss
etc ,,, then count the combination of favorable outcomes

Using a calculator:
Total number of outcomes is $2^{7}$ = 128
Probability of getting exactly 3 heads is found using the follow calculator feature: binompdf(7, 0.5, 3)

ANSWER: Typed into the calculator as follows binompdf(7,0.5,3)×128 = 35

7 0

3 years ago

The chi-square test statistic is χ2 = 18.68 and the P-value is between 0.0025 and 0.005. What conclusion should the researcher m

diamong [38]

We don't know what the exact p-value is, but we are told that it's as large as 0.005 which is smaller than alpha = 0.05

Since the p-value is smaller than alpha, this means we reject the null hypothesis.

The way you can remember this is "if the p-value is low, then the null must go". By "low", I mean "smaller than alpha".

Recall that the p-value is the probability of observing that specific test statistic, or larger. So the chances of chi-squared being 18.68 or larger is a probability between 0.0025 and 0.005; there's a very small chance of this happening. The p-value is based entirely on the assumption that the null is correct. But if the null is correct, then the chances of landing on this are very small. We have a contradiction that basically leads to us concluding the null must not be the case. It's not 100% guaranteed of course, but it's fairly strong evidence.

In short, the p-value being smaller than alpha = 0.05 means we reject the null.

In order to accept the null, the p-value must be 0.05 or larger.

5 0

3 years ago