Ask question

Ask question

All categories

4 years ago

6

(20 points) An experiment consists of tossing a fair coin twice and observing the outcomes. What is the probability of "heads" i

n the first toss and "tails"in the second?

1 answer:

Gre4nikov [31]4 years ago

8 0

Answer:

1/2 or 50%

Step-by-step explanation.

The coin has two sides you have a 50% chance on heads and a 50% chance on tail.

You might be interested in

Find the circumference of a circle with a diameter of 15 inches... Round to the nearest tenth and include units in your answer..

rosijanka [135]

Answer:

<em>47. 1 inches ; where inches ⇒ units</em>

Step-by-step explanation:

Consider the Circumference as such;

$Diameter - 15 inches,\\Circumference - 2\pi r, r - radius,\\\\2\pi r = \pi d, d - diameter ( considering, 2 * r = diameter )\\\\Circumference = \pi * d = \pi * diameter = \pi * 15 = ( About ) 47.1 inches\\Solution; Circumference = ( About ) 47.1 inches$

<em>From this we can tell that ⇒ Answer; 47. 1 inches, where inches - units</em>

6 0

3 years ago

Read 2 more answers

I neeeeed helppppppp pleaeeeeeeeeeee

aksik [14]

Answer:

its c

Step-by-step explanation:

6 0

3 years ago

Read 2 more answers

The function f(x)=501170(0.98)x gives the population of a Texas City x years after 1995. What was the population in 1995?

galina1969 [7]

Answer:

The population of a Texas City in 1,995 was $501,170\ people$

Step-by-step explanation:

we have

$f(x)=501,170(0.98^{x})$

we know that

The population in 1,995 is for $x=0$

so

substitute the value of $x=0$ in the function f(x)

$f(0)=501,170(0.98^{0})=501,170\ people$

4 0

4 years ago

The value of the coefficient of correlation ( r) a. can never be equal to the value of the coefficient of determination (r2). b.

gulaghasi [49]

Answer:

d. can be equal to the value of the coefficient of determination (r2).

True on the special case when r =1 we have that $r^2 = 1$

Step-by-step explanation:

We need to remember that the correlation coefficient is a measure to analyze the goodness of fit for a model and is given by:

$r=\frac{n(\sum xy)-(\sum x)(\sum y)}{\sqrt{[n\sum x^2 -(\sum x)^2][n\sum y^2 -(\sum y)^2]}}$

The determination coefficient is given by $R= r^2$

Let's analyze one by one the possible options:

a. can never be equal to the value of the coefficient of determination (r2).

False if r = 1 then $r^2 = 1$

b. is always larger than the value of the coefficient of determination (r2).

False not always if r= 1 we have that $r^2 =1$ and we don't satisfy the condition

c. is always smaller than the value of the coefficient of determination (r2).

False again if r =1 then we have $r^2 = 1$ and we don't satisfy the condition

d. can be equal to the value of the coefficient of determination (r2).

True on the special case when r =1 we have that $r^2 = 1$

7 0

3 years ago

Ranger says the expression is not in its simplest form. He thinks the two terms need to be combined. Is Ranger right that 8x − 2

Mrrafil [7]

Ranger is incorrect. The expression, 8x – 20, is in its simplest form because there are no parentheses and no like terms. The two terms cannot be combined because only one term has x as its variable.

5 0

4 years ago

Read 2 more answers