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IgorLugansk [536]

3 years ago

14

I know when a probability is experimental because …

1 answer:

const2013 [10]3 years ago

7 0

An experiment is conducted to give evidence to help support the hypothesis or theory basically
And a probability is the likelihood of something happening

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PLEASE HELP ❗️❗️❗️❗️

stiks02 [169]

Answer:

point? this question could have many answers

8 0

3 years ago

Will give brainliest

luda_lava [24]

Answer:

P (A and B)=8/9

Events A and B are not dependent.

Step-by-step explanation:

Probability of A AND B means the the probability (favorable outcomes divided by total) of choosing someone who has/did BOTH A and B (not neither or only one of them). 16 did both, so the probability is 16/18 /2/2 = 8/9.

The events are independent (not dependent) because choosing A does not affect choosing B.

4 0

3 years ago

Read 2 more answers

Jose deposits $8000 into an account that pays simple interest at a rate of 4% per year. How much interest will he be paid in the

viktelen [127]

The answer is 1920. glad to assist you

5 0

3 years ago

Read 2 more answers

What is the value of d to the nearest tenth?

Ghella [55]

Answer: $d=13.8$

Step-by-step explanation:

A line that cuts a circle at two points is called "secant".

There is a theorem known as "Intersecting Secant Theorem". This is the theorem you need to use to find the value of "d".

According the Intersecting Secant Theorem:

$(14)(14+20)=(16)(16+d)\\(14)(34)=(16)(16+d)$

Having this expression, the next step is to solve for "d":

Use Distributive property:

$476=256+16d$

Subtract 256 from both sides:

$476-256=-256+256+16d$

$220=16d$

Divide both sides by 16:

$\frac{220}{16}=\frac{16d}{16}\\\\13.75=d$

The value of "d" rounded to the nearest tenth is:

$d=13.8$

6 0

4 years ago

What is the standard deviation of the data? 0.5 1.5 2.0 2.5

vesna_86 [32]

Answer:

0.74

Step-by-step explanation:

The standard deviation of a data set is the sqaure root of the variance, so first we must find the variance. The equation for variance is:

σ² = $\frac{{(x_{1}-[x bar] )}^{2}+...+{(x_{n}-[x bar]) }^{2}}{n}$

x = number in the data set
xbar = median of the data set
n = number of terms

Plugging in the given values, the equation for the variance of this number set is:

σ² = $\frac{(0.5 - 1.625)^{2} + (1.5 - 1.625)^{2}+ (2.0 - 1.625)^{2}+(2.5 - 1.625)^{2} }{4}$

Solving:

= $\frac{1.265625+0.015625+0.140625+0.765625}{4}$

= $\frac{2.1875}{4}$

σ² = 0.546875

Since the standard devianation is the sqaure root of the variance, we'll sqaure 0.546875:

$\sqrt{0.546875}$

= 0.73950997288745

= 0.74 (rounded)

hope this helps!

4 0

2 years ago