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3 years ago

What is the probability of rolling back to back evens?

1 answer:

5 0

1/2, because there are three even numbers and three odd numbers out of six, which would make the fraction 3/6, then simplify it to 1/2 (: hope it helped

You might be interested in

Check the true statements below:

valentinak56 [21]

Answer:

a) False

b) False

c) True

d) False

e) False

Step-by-step explanation:

a. A single vector by itself is linearly dependent. False

If v = 0 then the only scalar c such that cv = 0 is c = 0. Hence, 1vl is linearly independent. A set consisting of a single vector v is linearly dependent if and only if v = 0. Therefore, only a single zero vector is linearly dependent, while any set consisting of a single nonzero vector is linearly independent.

b. If H= Span{b1,....bp}, then {b1,...bp} is a basis for H. False

A sets forms a basis for vector space, only if it is linearly independent and spans the space. The fact that it is a spanning set alone is not sufficient enough to form a basis.

c. The columns of an invertible n × n matrix form a basis for Rⁿ. True

If a matrix is invertible, then its columns are linearly independent and every row has a pivot element. The columns, can therefore, form a basis for Rⁿ.

d. In some cases, the linear dependence relations among the columns of a matrix can be affected by certain elementary row operations on the matrix. False

Row operations can not affect linear dependence among the columns of a matrix.

e. A basis is a spanning set that is as large as possible. False

A basis is not a large spanning set. A basis is the smallest spanning set.

3 0

3 years ago

r-ruslan [8.4K]

Answer:

soryyyyyyyyyyyyyyyy

Step-by-step explanation:

4 0

3 years ago

a) If the null hypothesis is true, you'll get a high P-value. b) If the null hypothesis is true, a P-value of 0.01 will oc

maxonik [38]

Answer:

a) If the null hypothesis is true, you'll get a high P-value. (it depends)

b) If the null hypothesis is true, a P-value of 0.01 will occur about 1% of the time. (false)

c) A P-value of 0.90 means that the null hypothesis has a good chance of being true. (not only has a good chance it has strong evidence)

d) A P-value of 0.90 is strong evidence that the null hypothesis is true.(true)

Step-by-step explanation:

Before i answer this question, you need to understand that p-values give you the clues to identify when you can accept the null hypothesis ( null hypothesis is true) and when you can reject the null hypothesis (null hypothesis is not true).

1. When you get a small p-value (typically ≤ 0.05) values that are less or equal to 0.05, for example 0.01, you reject the null hypothesis (null hypothesis is not true)

2. when you get a large p-value (> 0.05) values that are greater than 0.05, for example 0.94, 0.90. you can accept the null hypothesis because indicates weak evidence against the null hypothesis (null hypothesis is true).

This is the explanation:

a) if the null hypothesis is true you`ll get a high p-value only if the p-value is ≥ 0.05

b) if p value is less or equal to 0.05. Null hypothesis is not true.

c) A P-value of 0.90 means that the null hypothesis has a good chance of being true . It not only has a good chance it is strong evidence that null hypothesis is true.

d) A p-value of 0.90 is strong evidence that null hypothesis is true. p-values that are greater than 0.05 you can accept the null hypothesis (null hypothesis is true).

7 0

3 years ago

I need helllpppp ppllsssss

Alina [70]

Answer:

Step-by-step explanation:

Tip a positive number multiplied to a negative number is negative

8 0

3 years ago

mike and bill sell cars for jangles auto. Over the past year they sold 640 cars. assuming mike sells 3 times as amny as bill, ho

Oksana_A [137]

Let Mike sold M cars and Bill sold B cars.
Now both sold 640 cars in total, means M + B = 640,
also Mike sold 3 times as many as Bill, means M = 3*B. So our equations became,
M + B = 640, & M = 3*B, put value of M in terms of B.
3*B + B = 640, 4*B = 640,
B = 640/4, B = 160, as M = 3*B, M = 3*160 = 480.
So Mike sold 480 cars & Bill sold 160 cars.

5 0

3 years ago