Pppppppllllssss help

Answer:

A)

Step-by-step explanation:

Answer:

it's the second one

Step-by-step explanation:

Answer:

[tex]Outcomes = \{HHHH, HHHT,TTTH, TTTT\}[/tex]

Step-by-step explanation:

Given

[tex]S = \{HHHH, HHHT, HHTH, HHTT,HTHH, HTHT, HTTH, HTTT, THHH, THHT,[/tex]

[tex]THTH, THTT,TTHH, TTHT, TTTH, TTTT\}[/tex]

Required

The outcomes where the first three tosses are the same

To do this, we list out the outcomes that the first three are HHH or TTT.

So, we have:

[tex]Outcomes = \{HHHH, HHHT,TTTH, TTTT\}[/tex]

Answer:

B

Step-by-step explanation:

Area = L * W

L = 12 m

W = 10 m

Area = 12 m * 10 m

Area = 120 m^2

Answer;

A. 120m²

Given That :-

To find :-

Solution :-

[tex]\begin{gathered}\begin{gathered}\begin{gathered}\begin{gathered} \sf Length = 12m\: \: \: \: \: \: \: \: \: \: \: \\ \begin{gathered}\begin{gathered}\boxed{\begin{array}{}\bf { \red{}}\\{\qquad \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: \: }{}\\ { \sf{ }}\\ { \sf{ }} \\ \\ { \sf{ }}\end{array}}\end{gathered}\end{gathered} \sf \: Width = 10m \end{gathered}\end{gathered} \end{gathered} \end{gathered}[/tex]

The area of a rectangle is equal to the length times the width.

Substitute the values of the length l =12 and width w = 10 into the formula for the area of a rectangle.

Multiply 12m by 10m

Hence, Area of rectangle is 120m² which means option A. is correct answer.

Answer:

0.324

Step-by-step explanation:

Given that :

Success rate = 30%

p = 30% = 0.3

q = 1 - p = 1 - 0.3 = 0.7

Number of trials, n = 6

Probability of having exactly 2 successes ; x = 2

P(x = 2)

Usibgbtge binomial probability relation :

P(x = x) = nCx * p^x * q^(n-x)

P(x = 2) = 6C2 * 0.3^2 * 0.7^4

P(x = 2) = 15 * 0.3^2 * 0.7^4

P(x = 2). = 0.324135

P(x = 2) = 0.324

Answer:

Step-by-step explanation:

The perimeter is the dependent variable.  TRUE

The length of the side of the square is the dependent variable.  FALSE

The value of p(x) depends on the value of x.  TRUE

The length of the side of the square is the independent variable.  TRUE

The value p(x) can be found by multiplying p by x.  FALSE

The perimeter is the independent variable.  FALSE

Answer:

the quotient of x and 3

Step-by-step explanation:

x divided by 3

division answers are called quotients

Answer:

Step-by-step explanation:

x/3

• the difference of x and 3

• the quotient of 3 and x

• the product of 3 and x

• the quotient of x and 3  is correct.  We are dividing x into 3, not 3 into x.

Answer:

Kindly check explanation

Step-by-step explanation:

The hypothesis :

H0 : μ1 = μ2

H1 : μ1 > μ2

Given :

x1 = 21.1 ; n1 = 53 ; s1 = 1.1

x2 = 20.7 ; n2 = 46 ; s2 = 1.2

The test statistic :

(x1 - x2) / √[(s1²/n1 + s2²/n2)]

(21.1 - 20.7) / √[(1.1²/53 + 1.2²/46)]

0.4 / 0.2326682

Test statistic = 1.719

The degree of freedom using the conservative method :

Comparing :

Degree of freedom = n - 1

Degree of freedom 1 = 53 - 1 = 52

Degree of freedom 2 = 46 - 1 = 45

Smaller degree of freedom is chosen ;

The Pvalue from Test statistic, using df = 45

Pvalue = 0.0462

Pvalue < α ; Hence, there is significant evidence to conclude that average age of Gorka student is higher than Yaphoa.

Answer:

18/48 and 15/40

Step-by-step explanation:

18/48 = 3/8

15/40 = 3/8

•°• 18/48 is equivalent to 15/40

Answer:

Perimeter: 41.2 m

Area: 54.83 m^2

Step-by-step explanation:

REFER TO THE IMAGE ATTACHED AS A

GUIDE.

PERIMETER:

(ADD UP ALL THE LENGTHS OF EACH SIDE)

Must be all 6 sides (see image, I solved for the two missing lengths)

3.7 + 9.1 + 11.4 + 9.2 + 2.3 + 5.5 = 41.2

perimeter is 41.2 m

AREA:

(See image again)

Shape is divided into two rectangles:

Top rectangle area: 11.4 x 3.7 = 42.18 m^2

Bottom triangle area: 5.5 x 2.3 = 12.65 m^2

ADD:

42.18 m^2 + 12.65 m^2 = 54.83 m^2

The area of the whole figure is 54.83 m^2

HOPE THIS HELPS

Answer:

Emma can read 30 pages per minute

Number of book pages 28

Step-by-step explanation:

Answer:

11 because <.5 is rounded to the next ten

Answer:

2

Step-by-step explanation:

Answer:

x = 62

Step-by-step explanation:

62 and x are alternate exterior angles and alternate exterior angles are equal when the lines are parallel

Answer:

1. zero

2. seven over eight

3. one over three

4. one

5. one over two

PLEASE GIVE BRAINLYIST!!

Answer:

x = 30

F = 130

G =  50

Step-by-step explanation:

f and g are supplementary which means they add to 180

5x-20 + 3x - 40 = 180

Combine like terms

8x - 60 = 180

Add 60 to each side

8x-60+60 = 180+60

8x = 240

Divide by 8

8x/8 = 240/8

x = 30

F = 5x -20 = 5*30 -20 = 150 -20 = 130

G = 3x-40 = 3*30 -40 = 90-40 = 50

Answer:

Because a straight line = 180, we can find x like this :

(5x - 20) + (3x - 40) = 180

Step 1 - collect like terms

8x - 60 = 180

Step 2 - Move terms around to isolate x

8x = 180 + 60

Step 3 - Divide both sides by 8

x = 30

Now you can find the value of the angles by plugging in x

∠f = (5 x 30) - 20

     = 130 degrees

∠g = (3 x 30) - 40

      = 50 degrees

We can check to see if this works by adding them up

130 + 50 = 180, so this is correct

Hope this helps! I would really appreciate a brainliest if possible :)

Answer:

The equation is y = -5/6 x-4

Step-by-step explanation:

The equation of a line in slope intercept form is

y = mx+b where m is the slope and b is the y intercept

y = -5/6 x+b

Substitute in the point

-9 = -5/6(6) +b

-9 = -5+b

Add  5 to each side

-4 = b

The equation is y = -5/6 x-4

Answer:

i guess its 1...

Step-by-step explanation:

Answer:

79 numbers

Step-by-step explanation:

39 x 39 = 1521 ( Find the square of 39)

40 x 40 = 1600 (Find the square of 40)

1600 - 1521 = 79 ( Finding the difference of the two squares)

Answer:25

Step-by-step explanation:

Answer:

a) The standard error is s = 0.071.

b) Yes, as both sample sizes are above 30.

Step-by-step explanation:

To solve this question, we need to understand the central limit theorem and subtraction of normal variables.

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean [tex]\mu[/tex] and standard deviation [tex]s = \frac{\sigma}{\sqrt{n}}[/tex].

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean [tex]\mu = p[/tex] and standard deviation [tex]s = \sqrt{\frac{p(1-p)}{n}}[/tex]

Subtraction between normal variables:

When two normal variables are subtracted, the mean is the difference of the means, while the standard deviation is the square root of the sum of the variances.

Samples of size 86 drawn from population A with proportion 0.43

This means that [tex]n = 86, p = 0.43[/tex]. So:

[tex]s_A = \sqrt{\frac{0.43*0.57}{86}} = 0.0534[/tex]

Samples of size 60 drawn from population B with proportion 0.15:

This means that [tex]n = 60, p = 0.15[/tex]. So:

[tex]s_B = \sqrt{\frac{0.15*0.85}{60}} = 0.0461[/tex]

(a) Find the standard error of the distribution of differences in sample proportions A - B Round your answer for the standard error to three decimal places. Standard error=

This is:

[tex]s = \sqrt{s_A^2 + s_B^2}[/tex]

[tex]s = \sqrt{(0.0534)^2 + (0.0461)^2}[/tex]

[tex]s = 0.071[/tex]

The standard error is s = 0.071.

(b) Are the sample sizes large enough for the Central Limit Theorem. Yes or No?

Yes, as both sample sizes are above 30.

Answer:

2

Step-by-step explanation:

8328÷24=347

hope this is helpful

Answer:

Step-by-step explanation:

A circle chart can be referred to as a pie chart. This is a chart that expresses each fraction of total data in degrees.

The set of data given is summed so as to determine the total value. Then each data in the set is expressed as a ration of the total value, which is multiplied by [tex]360^{o}[/tex]. This is to determine the degree of angles that represent each data in the data set. These angles in degrees can now be used to divide the sum of angles in a circle into wedges.

With each wedge in the circle showing the fractional relationship between each data and the total value in degrees.

Answer:

it's the last one, the function is decreasing from x=-3 to x=-1

Answer:

9-x/4=2

[tex] \frac{36 - x}{4} = 2[/tex]

[tex]36 - x = 2 \times 4[/tex]

[tex]36 - x = 8[/tex]

[tex] 36 - 8 = x[/tex]

[tex]28 = x[/tex]

[tex]x = 28[/tex]

9 - x/4 = 2

(36 - x)/4 = 2

36 - x = 8

36 - 8 = x

x = 28

I hope you understand...

Mark me as brainliest...

Answer:

[tex]{ \bf{f(x) = \frac{1}{2} {x}^{2} }} \\ \\ { \tt{f( - 2) = \frac{1}{2} {( - 2)}^{2} }} \\ = 2[/tex]

Answer:

[tex]P(T = 1) = \frac{3}{8}[/tex]

Step-by-step explanation:

The table, along with the relative frequency chart, state that the probabilities are:

[tex]P(T = 0) = \frac{1}{8}[/tex]

[tex]P(T = 1) = \frac{3}{8}[/tex]

[tex]P(T = 2) = \frac{3}{8}[/tex]

[tex]P(T = 3) = \frac{1}{8}[/tex]

Find the probability P(T=1)

As given by the table, and by the relative frequency chart, [tex]P(T = 1) = \frac{3}{8}[/tex]

Answer:

the answer is 45 + 5-75 is equals to 30 +5

Answer:

P(M < 0.917 g) = 0.1611.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the z-score of a measure X is given by:

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean [tex]\mu[/tex] and standard deviation [tex]s = \frac{\sigma}{\sqrt{n}}[/tex].

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

Mean of 0.974 g and a standard deviation of 0.325 g.

This means that [tex]\mu = 0.974, \sigma = 0.325[/tex]

Sample of 32:

This means that [tex]n = 32, s = \frac{0.325}{\sqrt{32}}[/tex]

Fnd the probability of randomly selecting 32 cigarettes with a mean of 0.917 g or less.

This is the p-value of Z when X = 0.917. So

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

By the Central Limit Theorem

[tex]Z = \frac{X - \mu}{s}[/tex]

[tex]Z = \frac{0.917 - 0.974}{\frac{0.325}{\sqrt{32}}}[/tex]

[tex]Z = -0.99[/tex]

[tex]Z = -0.99[/tex] has a p-value of 0.1611.

So

P(M < 0.917 g) = 0.1611.