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sweet-ann [11.9K]
3 years ago
6

A tree is 117 inches tall. How tall is it in feet and inches? ?

Mathematics
1 answer:
xz_007 [3.2K]3 years ago
6 0

Answer:

9 ft and 9 inches

Step-by-step explanation:

there are 12 inches in a foot

1ft = 12in

2ft = 24 in

3ft = 36 in

4ft = 48

and so on

9 ft = 108 inches which is the closes to 117.

So we have 9 ft

subtract 117 from 108, which is 9 inches left over

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Leyan bought 234 pounds of apples for $1.32 per pound, 112 pounds of peaches for $1.20 per pound, and some tomatoes, all from a
velikii [3]

Answer: See explanation

Step-by-step explanation:

I think your question isn't well written and that 234 was meant to be 2.34 and 112 was meant to be 1.12

Let the amount spent on tomatoes be x.

The information given in the question can then be used to form an equation as thus:

Apples + Peaches + Tomatoes = $9.63

(2.34 × $1.32) + (1.12 × $1.20) + x = $9.63

$3.0888 + $1.344 + x = $9.63

x = $9.63 - ($3.0888 + $1.344)

x = $9.63 - $4.4328

x = $5.1972

The amount spent on tomatoes will be $5.1972

8 0
3 years ago
Read 2 more answers
Two surveys were independently conducted to estimate a population mean, μ. denote the estimates and their standard errors by x1
lyudmila [28]

Hi there what you need is lagrange multipliers for constrained minimisation. It works like this,

V(X)=α2σ2X¯1+β2\sigma2X¯2

Now we want to minimise this subject to α+β=1 or α−β−1=0.

We proceed by writing a function of alpha and beta (the paramters you want to change to minimse the variance of X, but we also introduce another parameter that multiplies the sum to zero constraint. Thus we want to minimise

f(α,β,λ)=α2σ2X¯1+β2σ2X¯2+λ(\alpha−β−1).

We partially differentiate this function w.r.t each parameter and set each partial derivative equal to zero. This gives;

∂f∂α=2ασ2X¯1+λ=0

∂f∂β=2βσ2X¯2+λ=0

∂f∂λ=α+β−1=0

Setting the first two partial derivatives equal we get

α=βσ2X¯2σ2X¯1

Substituting 1−α into this expression for beta and re-arranging for alpha gives the result for alpha. Repeating the same steps but isolating beta gives the beta result.

Lagrange multipliers and constrained minimisation crop up often in stats problems. I hope this helps!And gosh that was a lot to type!xd

3 0
3 years ago
Hellllpppp NOWERS! HELLER!!!!!
natka813 [3]

Answer:

C

Step-by-step explanation:

C or the third one is correct

4 0
3 years ago
Suppose there is a 14.3% probability that a randomly selected person aged 25 years or older is a In​ addition, there is a probab
oksian1 [2.3K]

Complete Question

Suppose there is a 14.3% probability that a randomly selected person aged 25 years or older is a jogger. In addition, there is a 52.6% probability that a randomly selected person aged 25 years or older is female, given that he or she jogs. What is the probability that a randomly selected person aged 25 years or older is female and jogs? Would it be unusual to randomly select a person aged 25 years or older who is female and jogs?

Answer:

The  probability is  P(F \  n  \  J ) =  0.075

No  it is not unusual

Step-by-step explanation:

From the question we are told that

The probability  that a  randomly selected person aged 25 or older is a jogger  is

     P(J) =  0.143

The probability that a randomly selected person aged 25 years or older is female, given that he or she jogs

     P(F |  J) =  0.526

Generally the  the probability that a randomly selected person aged 25 years or older is female and jogs is mathematically evaluated using Bayes rules as follows

       P(F \  n  \  J ) =  P(F |  J ) *  P(J )

=>    P(F \  n  \  J ) =  0.526  *  0.143

=>    P(F \  n  \  J ) =  0.075

Generally this is not unusual  because value obtained is greater than 0.05

5 0
3 years ago
Help me please thxxxxxxx
algol13

Answer:  2.4

Step-by-step explanation:

a²+b²=c²

3.9+b²=6.3

-3.9      -3.9

_________

b=2.4

check it:

3.9+2.4=6.3

there you go

mark brainly if this helps PLEASE.

6 0
3 years ago
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