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aleksandr82 [10.1K]
3 years ago
8

Help me please. I will mark Brainliest

Mathematics
2 answers:
Firdavs [7]3 years ago
7 0

Answer:

true

Step-by-step explanation:

lora16 [44]3 years ago
5 0

Answer:

this is false

Step-by-step explanation:

it's false because 8 is not the same value as 1/8

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Kendall had $80 in her bank account after she bought three shirts that each cost the same amount she has $53 in her bank account
77julia77 [94]

Answer:

Each shirt was $9

Step-by-step explanation:

80 - 53 = 27

27 / 3 = 9

4 0
3 years ago
Evaluate (x + y)0 for x = -3 and y = 5.<br><br> a.) -1/2<br> b.) 0<br> c.) 1<br> d.) 2
lions [1.4K]
Answer is B. No matter what the x or y will be the result will be 0. Anything multiplied by 0 is equal to 0.
8 0
4 years ago
Read 2 more answers
Hi this is due in a few minutes so can toy help please<br> Solve for x<br> (9x-19)
noname [10]

Answer:

count by nines to get to your answer and it will tell you so just count by nines

5 0
3 years ago
Rewrite the expression in the form k*x^n<br><br> (16/x^3)^1/4
Alecsey [184]

Answer:

2*x^(3/8)

Step-by-step explanation:

4 0
3 years ago
The distribution of the weights of loaves of bread from a certain bakery follows approximately a normal distribution. Based on a
artcher [175]

Answer:

μ=23.710740....

σ=3.592592....

Step-by-step explanation:

At first, we are told that it´s a normal distribution and the following:

P(x≤15.34)=0.1

P(x≤16.31)=0.2

We start looking for those values (0.1 and 0.2) and the probabilities that gives us those values in a normal standard distribution. There´s some tools that´ll help us out but i´ll be using a chart with the values of some probabilities in a normal standard distribution (That it´s attached).

The probability of P(z≤ a.b) where "a" is the whole part of a number and "b" the decimal part is in the coordinates (a,b). For example for our problem:

P(z≤-2.33)=0.099≈0.1

P(z≤-2.06)=0.197≈0.2

To find a probability of a normal (not standard) distribution we use a method called Normalize that proceeds:

P(x≤a)=P( (x-μ)/σ ≤ (a-μ)/σ )

Where μ is the Mean of the data and σ is the Standard deviation. P( (x-μ)/σ ≤ (a-μ)/σ ) is now part of a normal standard distribution and we are able to look for it in the chart.

We will use it to find the Mean and the STD for our distribution.

P(x≤15.34)=P(z≤-2.33)≈0.1

P(x≤16.31)=P(z≤-2.06)≈0.2

so we have the equations:

(15.34 - μ)/σ= -2.33 and (16.31 - μ)/σ= -2.06

And we solve them for μ and σ:

(15.34 - μ)/-2.33= σ and (16.31 - μ)/-2.06= σ

(15.34 - μ)/-2.33 = (16.31 - μ)/-2.06

2.06*(15.34 - μ) = 2.33(16.31 - μ)

2.33μ - 2.06μ = 2.33(16.31) - 2.06(15.34)

μ= 6.4019 / 0.27

μ= 23.710740...

With this value we find σ in one equation:

(15.34 - (23.710740...)/σ = -2.33

(15.34 - (23.710740...)/-2.33 = σ

σ=3.592592...

We finally have our answers:

μ=23.710740....

σ=3.592592....

3 0
4 years ago
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