find the missing length

Answer:37

Step-by-step explanation: it’s

Answer:

4 meters/ sec

Step-by-step explanation:

20/5 = 4 Lol

Pls mark brainliest

Answer:

20/5=4m/s

Step-by-step explanation:

speed=distance/time

so speed=20/5

46 minutes is the elapsed time :)

Answer:

46 minutes

Step-by-step explanation:

In order to find the time elapsed, you must subtract 10:51 and 10:05 which equals 46 minutes.

Answer:

20 because

Step-by-step explanation:

you have to add all of them then ÷ by 2

9514 1404 393

Answer:

Step-by-step explanation:

It works well when making a Venn diagram to start in the middle (6 carried all three), then work out.

For example, if 10 carried early and extra-late, then only 10-6 = 4 of those trucks carried just early and extra-late.

Similarly, if 30 carried early and late, and 4 more carried only early and extra-late, then 38-30-4 = 4 carried only early. In the attached, the "only" numbers for a single type are circled, to differentiate them from the "total" numbers for that type.

__

a) 15 trucks carried only late

b) 24 trucks carried only extra late

c) 4+15+24 = 43 trucks carried only one type

d) 38+67+56 -30-28-10 +6 +6 = 105 trucks in all went out

Answer:

61.25 cm^3

Step-by-step explanation:

V=whl=3.5·2.5·7=61.25

Answer:

20

Step-by-step explanation:

if we add all these numbers together we get 220

220 divided by 11 is 20

Answer:

0! = 1

1! = 1

0! + 1! = 1 + 1 = 2

softwaretester answers. i am available to help you!

Answer:

The value of test statistic is F =  1.427

Step-by-step explanation:

The given data is

n1=9;      s1=17.8

n2=8       s2=14.9

1) And significance level is chosen to be  α = 0.05.

2) The null and alternate hypothesis are

H0: σ₁²=σ₂²  against the claim Ha: σ₁²≠σ₂²

The null hypothesis the population variances of Company A and Company B parts are equal.

against the claim

the population variances are not equal of the  two companies.

3) The critical region F∝(υ1,υ2) = F(0.025)8,7 >  4.9

where υ1= n1-1= 9-1= 8 and υ2= n2-1= 8-1= 7

4)Test Statistic

F = s₁²/s₂²

F= 17.8²/ 14.9²=  1.427

5) Conclusion :

As the calculated F lies in the acceptance region therefore we conclude that there is not sufficient evidence to support the claim that the population variances of Company A and Company B parts are not equal. Hence Ha is rejected and H0 is accepted.

(a) The mean of C is 1.0 and the standard deviation is 1.0.

(b) The mean of the total number of adult and child tickets purchased is 3.0, and the standard deviation is approximately 1.56.

(c) The mean amount spent per purchase is $65, and the standard deviation is approximately $33.54.

(a) To compute the mean of C, we multiply each value of C by its corresponding probability and sum them up:

Mean (μ) = (0 * 0.4) + (1 * 0.3) + (2 * 0.2) + (3 * 0.1) = 0 + 0.3 + 0.4 + 0.3 = 1.0

To compute the standard deviation, we first need to calculate the variance. The variance (σ²) is found by summing the squares of the differences between each value of C and the mean, weighted by their corresponding probabilities:

Variance (σ²) = [(0 - 1)² * 0.4] + [(1 - 1)² * 0.3] + [(2 - 1)² * 0.2] + [(3 - 1)² * 0.1] = 0.4 + 0 + 0.2 + 0.4 = 1.0

Finally, we take the square root of the variance to obtain the standard deviation (σ):

Standard Deviation (σ) = √(1.0) = 1.0

(b) Since the numbers of child tickets and adult tickets purchased are independent, the mean of the total number of adult and child tickets purchased is the sum of their individual means:

Mean (μ) = Mean of child tickets (μ c) + Mean of adult tickets (μ a) = 1.0 + 2 = 3.0

The variance of the total number of tickets purchased is the sum of the variances of the child and adult tickets:

Variance (σ²) = Variance of child tickets (σ c²) + Variance of adult tickets (σ a²) = 1.0 + (1.2)² = 2.44

The standard deviation of the total number of tickets purchased is the square root of the variance:

Standard Deviation (σ) = √(2.44) ≈ 1.56

(c) To compute the mean and standard deviation of the total amount spent per purchase, we need to multiply the number of child tickets and adult tickets purchased by their respective prices and sum them up.

Mean (μ) = Mean number of child tickets (μ c) * Price of child ticket + Mean number of adult tickets (μ a) * Price of adult ticket

Mean (μ) = 1.0 * $15 + 2 * $25 = $15 + $50 = $65

Variance (σ²) = Variance of child tickets (σ c²) * (Price of child ticket)² + Variance of adult tickets (σ a²) * (Price of adult ticket)²

Variance (σ²) = 1.0 * ($15)² + (1.2)² * ($25)² = $225 + $900 = $1125

Standard Deviation (σ) = √(1125) ≈ $33.54

Therefore, the mean amount spent per purchase is $65, and the standard deviation is approximately $33.54.

To know more about standard deviation:

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Answer:

(0,1)

Step-by-step explanation:

I put it in desmos :)

Answer:

0,1

Step-by-step explanation:

Answer:

The point of a pencil

Step-by-step explanation:

all other three mesure 90 the point of pencil is not square shape in order for it to be right angle its gotta be square shape hope this helps! may i be marked brainliest?

Answer:

X = -7

Step-by-step explanation:

-6x + 5 = 47

-6x +5 -5 = 47 - 5

-6x = 42

-6x/-6 = 42/-6

X = -7

Answer:

Hello There!!

Step-by-step explanation:

Write the equation: -6x+5=47

Takeaway 5 from both sides: -6x=42

Divide by -6 from both sides: x=-7

Therefore, x=-7.

hope this helps,have a great day!!

~Pinky~

Answer:

A chi-square goodness-of-fit test

Step-by-step explanation:

GOF test is used to determine if the data meets the expected values.

A chi-square goodness-of-fit test procedure should be used to test whether or not the shuffle feature is working correctly.

What is a distribution?

A distribution includes an algebraic function that calculates the likelihood that long-been-considered outcomes will occur. In the perspective of its population space as well as event probability, it is a schematic representation of random phenomena.

To ascertain regardless of whether the observed sample frequency deviates noticeably from those given in the null hypothesis, should use the chi-square goodness of fit test.

He notes the number of tracks in each classification after listening to 100 songs selected at random while his player is in shuffle mode. One can determine out whether the quality of fit is "good enough" and draw the conclusion that the population matches the distribution by applying the chi-square goodness of fit test.

Learn more about distribution, Here:

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Answer:

1/3, 3/8 are closer to 0

Step-by-step explanation:

Answer:

1/3

Step-by-step explanation:

dont know i just remeberd

Answer:

23.14 m²

Step-by-step explanation:

square = 3 x 3 = 9 m²

the 4 semi-circles are equal to 2 complete circles, so:

radius = 3/2 = 1.5

semi-circles = (2)(3.14)(1.5²) = 14.14 m²

9 + 14.14 = 23.14 m²

Answer:

a

Step-by-step explanation:

Answer:

the pic is not clear to me

Step-by-step explanation:

Answer:

Since there is so table shown here, I advice you to divide 112 with the number of flowers in each vase. Like for example lets say that the amount of flowers in each vase is 16. You would need to divide 112 and 16. Thats 7. So the "answer" would be 7. Do the same (divide 112) with the amount of flowers you have in your table.

I dont wantonly help you I just want points ahahhaahahah

Answer:

109.899098772yd

Step-by-step explanation:

90-16=74

cos(74)=x/640

Answer:

(from most to least)

1. Total carbohydrates (34g)

2. Total fat (3.5g)

3. Sodium (1,110 mg, 1.11g)

4. Cholesterol (25mg, 0.025g)

Step-by-step explanation: