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3 years ago

Please need help with this

Mathematics

1 answer:

Andreas93 [3]3 years ago

3 0

Answer:

Step-by-step explanation:

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Ill give a brainlist ! :>

bekas [8.4K]

Answer:

Answer is given above in the image 

Step-by-step explanation:

I hope this will help you 

 HAVE A NICE DAY!

THANKS FOR GIVING ME THE OPPORTUNITY TO ANSWER YOUR QUESTION. 

ANSWER IS (c+8)(c+3)

7 0

3 years ago

Express the probability that a die wil land on a number less than 5 as a fraction

Rashid [163]

Answer:

$\frac{2}{3}$

Step-by-step explanation:

Values less than 5 on a die are 1, 2, 3, 4 ← 4 values out of a possible 6

P( < 5) = $\frac{4}{6}$ = $\frac{2}{3}$ in simplest form

7 0

4 years ago

Alexa and Brent are each working on a 30-question assignment. Alexa completed 20% of the questions. Brent completed 30% of the q

Mandarinka [93]

So 20% of 30 is 6
30% * 30 is 9
Alexa completed 6 of 30 questions
Brent completed 9 of 30 questions

Brent completed 3 more questions than Alexa

Hope this helps :)

6 0

4 years ago

1/5? jaslyyyyyyyyyyyyyyyyyyyy??

OverLord2011 [107]

Answer:

2/7

hope this helps

have a good day :)

Step-by-step explanation:

3 0

3 years ago

A mechanical engineer wishes to compare strength properties of steel beams with similar beams made with a particular alloy. The

Annette [7]

Answer:

Step-by-step explanation:

Level of significance, a = 0.01

Type II error probability, b =0.05

From the z-table:

the critical value at 1% level of significance, Zα = Z0.01 = 2.33

the critical value at 5% probability, Zβ = Z0.05 = 1.645

The critical value of z can be obtained from the standard normal table using the desired level of significance and the tail of test.

The critical value tells the number of standards deviations away is the result from the mean.

Probability of type I error denoted by a

Probability of type II error denoted by b.

Type I error is to falsely infer the existence of something that is not there, while a type II error is to falsely infer the absence of something that is.

From the given information,

a=0.01, b=0.05, o1 = o2 =0.05, Dο = 0, D' = 0.04

The sample size is calculated as,

n = $( o^2 + o2^2) * (Za +Zb)^2 /( (D' - D0)^2)$

= $(0.05^2 +0.05^2)*(2.33 + 1.645)^2 / (0.04 - 0)^2$

= 49.38

which is 50 [Rounded to next integer]

4 0

4 years ago