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timofeeve [1]
4 years ago
11

What is 1/5 X 4 ? please show simplest form

Mathematics
1 answer:
S_A_V [24]4 years ago
6 0
The answer to this question that 1/5x4= 0.8
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Log base 2 power (5x+7) =5
Vsevolod [243]

If we go back to the defenition of logs, we can find this solution quickly.


What you're saying when you say ㏒₂(5x+7) = 5 is that

2⁵ = 5x+7

So

32 = 5x+7

25 = 5x

x = 5

4 0
4 years ago
What does 2.5 equate to
Luda [366]
In a fraction, 2.5 equates to 5/2
5 0
4 years ago
Read 2 more answers
Weights and heights of turkeys tend to be correlated. For a population of turkeys at a farm, this correlation is found to be 0.6
LenaWriter [7]

Answer:

a turkey at the farm which weighs more than 90% of all the turkeys is predicted to be taller than <u>79.37 %</u> of them.

The  average height for turkeys at the 90th percentile for weight is 34.554

Of the turkeys at the 90th percentile for weight, roughly the percentage that  would  be taller than 28 inches 79.37%

Step-by-step explanation:

Given that:

For a population of turkeys at a farm, the correlation found between the weights and heights of turkeys is r = 0.64

the average weight in pounds \overline x = 17

the standard deviation of the weight in pounds S_x = 5

the average height in inches \overline y = 28

the standard deviation of the height in inches S_y = 8

Also, given that the weight and height both roughly follow the normal curve

For this study , the slope of the regression line can be expressed as :

\beta_1 = r \times ( \dfrac{S_y}{S_x})

\beta_1 = 0.64 \times ( \dfrac{8}{5})

\beta_1 = 0.64 \times 1.6

\beta_1 = 1.024

To the intercept of the regression line, we have the following equation

\beta_o = \overline y - \beta_1 \overline x

replacing the values:

\beta_o = 28 -(1.024)(17)

\beta_o = 28 -17.408

\beta_o = 10.592

However, the regression line needed for this study can be computed as:

\hat Y = \beta_o + \beta_1 X

\hat Y = 10.592 + 1.024 X

Recall that;

both the weight and height roughly follow the normal curve

As such, the weight related to 90th percentile can be determined as shown below.

Using the Excel Function at 90th percentile, which can be computed as:

(=Normsinv (0.90) ; we have the desired value of 1.28

∴

\dfrac{X - \overline x}{s_x } = 1.28

\dfrac{X - 17}{5} = 1.28

X - 17 = 6.4

X = 6.4 + 17

X = 23.4

The predicted height \hat Y = 10.592 + 1.024 X

where; X = 23.4

\hat Y = 10.592 + 1.024 (23.4)

\hat Y = 10.592 + 23.9616

\hat Y = 34.5536

Now; the probability of predicted height less than 34.5536 can be computed as:

P(Y < 34.5536) = P( \dfrac{Y - \overline y }{S_y} < \dfrac{34.5536-28}{8})

P(Y < 34.5536) = P(Z< \dfrac{6.5536}{8})

P(Y < 34.5536) = P(Z< 0.8192)

From the Z tables;

P(Y < 34.5536) =0.7937

Hence,  a turkey at the farm which weighs more than 90% of all the turkeys is predicted to be taller than <u>79.37 %</u> of them.

The  average height for turkeys at the 90th percentile for weight is :

\hat Y = 10.592 + 1.024 X

where; X = 23.4

\hat Y = 10.592 + 1.024 (23.4)

\hat Y = 10.592 + 23.962

\mathbf{\hat Y = 34.554}

Of the turkeys at the 90th percentile for weight, roughly what percent would you estimate to be taller than 28 inches?

i.e

P(Y >28) = 1 - P (Y< 28)

P(Y >28) = 1 - P( Z < \dfrac{28 - 34.554}{8})

P(Y >28) = 1 - P( Z < \dfrac{-6.554}{8})

P(Y >28) = 1 - P( Z < -0.8193)

From the Z tables,

P(Y >28) = 1 - 0.2063

\mathbf{P(Y >28) = 0.7937}

= 79.37%

7 0
4 years ago
If a car averages 22.07 miles per gallon, how many miles would you expect to drive on 13.243 gallons of gas
DiKsa [7]
Distance = 13.243 * 22.07= 292.27miles
4 0
4 years ago
Sean operates a lawn-cutting business. He charges $15 for a single lawn and $25 for a front and back lawn. Sean made $475 from 2
topjm [15]

The system of equations that models the given situation is given as follows:

  • x + y = 25.
  • 15x + 25y = 475.

<h3>What is a system of equations?</h3>

A system of equations is when two or more variables are related, and equations are built to find the values of each variable.

In this problem, the variables are given as follows:

  • Variable x: Number of single lawns cut.
  • Variable y: Number of front and back lawns cut.

He had 25 customers, hence:

x + y = 25.

He charges $15 for a single lawn and $25 for a front and back lawn, and made a total of $475, hence:

15x + 25y = 475

More can be learned about a system of equations at brainly.com/question/24342899

#SPJ1

3 0
2 years ago
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