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Scorpion4ik [409]
3 years ago
13

PLEASE HELP!! Urgent! :((

Mathematics
1 answer:
PSYCHO15rus [73]3 years ago
6 0

Answer:

the angle is 245°

Step-by-step explanation:

that is a pentagon, (a shape with 5 sides)

we know 4 of the angles in the pentagon

the sum of those 4 angles is

58°+100°+112°+25°=295°

to find a shapes total amount of °, the equation is (n-2)x180°

(5-2)x180°

=540°

540°-295°=245°

x=245°

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When ordering the Kids' Lunch at Burger Universe, the customer must choose a size, whether or not to have cheese, a type of bun,
AlekseyPX

Answer:

192 Kids' Lunches are possible.

Step-by-step explanation:

The client must make 5 decisions:

1) Size (junior, small, medium, large)

2) Cheese (with or without)

3) Type of bun (white, wheat)

4) Side order (fries, onion rings, fruit cup)

5) Drink (orange, grape, cherry, lemonade)

Since the client must make all 5 decisions all the time, we will multiply the number of options we have:

1) For size, he has 4 options,

2) For cheese, he has 2 options,

3) For type of bun, 2 options,

4) For side order, 3 options,

5) For drink, 4 options.

Therefore, the number of total options he has is 4 x 2 x 2 x 3 x 4 = 192 Kids' Lunches.

6 0
3 years ago
Please help I'm horrible at fractions and I need to finish this...<br> Solve and simplify
Tpy6a [65]

Answer:

your answer would be 1/24

Step-by-step explanation:

this is because if you half it you get 5/120

then divide each by 5 to get 1/24

hope it helps!!

7 0
3 years ago
Read 2 more answers
How would you write in standard form 8 thousands+1200 hundreds
Alex_Xolod [135]
It is basically 8 thousand plus one thousand two hundred so your answer would be 9200
4 0
3 years ago
A box contains 10 red ribbons and 12 blue ribbons. Once a ribbon is picked, it is not replaced. What is the probability of choos
lora16 [44]
I belive the answer is 1.
This is because out of 22 ribbon there are 10 which are bue so the probability of blue ribbons is 10/22 and probability of red ribbon is 12/22. So your question was the probability of choosing a red ribbon then a blu ribbon. Because of the word "then" , this means it is simply asking you to add their probablity so after adding 10/22 with 12/22 your answer will come to 22/22 which is equal to 1.
3 0
3 years ago
A sample of 11001100 computer chips revealed that 62b% of the chips fail in the first 10001000 hours of their use. The company's
STALIN [3.7K]

Answer:

Rule

If;

P-value > significance level --- accept Null hypothesis

P-value < significance level --- reject Null hypothesis

Z score > Z(at 90% confidence interval) ---- reject Null hypothesis

Z score < Z(at 90% confidence interval) ------ accept Null hypothesis

Null hypothesis: H0 = 0.60

Alternative hypothesis: Ha <> 0.62

z score = 1.35

P value = P(Z<-1.35) + P(Z>1.35) = 0.0885 + 0.0885= 0.177

Since z at 0.10 significance level is between -1.645 and +1.645 and the z score for the test (z = 1.35) falls with the region bounded by Z at 0.1 significance level. And also the two-tailed hypothesis P-value is 0.177 which is greater than 0.1. Then we can conclude that we don't have enough evidence to FAIL or reject the null hypothesis, and we can say that at 0.10 significance level the null hypothesis is valid.

Question; A sample of 1100 computer chips revealed that 62% of the chips fail in the first 1000 hours of their use. The company's promotional literature states that 60% of the chips fail in the first 1000 hours of their use. The quality control manager wants to test the claim that the actual percentage that fail is different from the stated percentage. Determine the decision rule for rejecting the null hypothesis, H0, at the 0.10 level.

Step-by-step explanation:

Given;

n=1100 represent the random sample taken

Null hypothesis: H0 = 0.60

Alternative hypothesis: Ha <> 0.62

Test statistic z score can be calculated with the formula below;

z = (p^−po)/√{po(1−po)/n}

Where,

z= Test statistics

n = Sample size = 1100

po = Null hypothesized value = 0.60

p^ = Observed proportion = 0.62

Substituting the values we have

z = (0.62-0.60)/√{0.60(1-0.60)/1100}

z = 1.354

z = 1.35

To determine the p value (test statistic) at 0.01 significance level, using a two tailed hypothesis.

P value = P(Z<-1.35) + P(Z>1.35) = 0.0885 + 0.0885= 0.177

Since z at 0.10 significance level is between -1.645 and +1.645 and the z score for the test (z = 1.35) falls with the region bounded by Z at 0.1 significance level. And also the two-tailed hypothesis P-value is 0.177 which is greater than 0.1. Then we can conclude that we don't have enough evidence to FAIL or reject the null hypothesis, and we can say that at 0.10 significance level the null hypothesis is valid.

3 0
3 years ago
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