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anygoal [31]
3 years ago
6

Find the vertex of the parabola y = 2x2 + 10x + 8

Mathematics
1 answer:
DerKrebs [107]3 years ago
6 0

Answer:

The vertex is -5/2 and -9/2

Step-by-step explanation:

I looked it up on math

way

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Today, there were 2 members absent from the band. The present members folded 25 programs each, for a total of 525 programs. How
Dafna1 [17]

Answer:

23

Step-by-step explanation:

225/25 = 21

21+2=23

6 0
3 years ago
The dot plot shows the number of wins for 16 baseball teams. Which statement about thedata is true?.Baseball Team Wins•0123 4 5
Nezavi [6.7K]

We can see on the graph that the dots represent a team, and on the x-axis is the number of wins. Looking at the graph we can see that a lot of teams won around 1-3 and just one team won 8 times, therefore, the correct answer is: The data are clustered from 1 to 3, so most teams won 1 to 3 games

8 0
11 months ago
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Sonbull [250]
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7 0
3 years ago
Lucy has to run two errands. She starts from home and travels 3 miles south to the post office. From the post office, she travel
Gwar [14]

Answer:

A. It is at the gas station

Step-by-step explanation:

3 0
3 years ago
Identify the type I error and the type II error for a hypothesis test of the indicated claim. The percentage of adults who retir
matrenka [14]

Answer:

<u>Type I error: </u>D. Reject the null hypothesis that the percentage of adults who retire at age 65 is less than or equal to 62 % when it is actually true.

<u>Type II error: </u>A. Fail to reject the null hypothesis that the percentage of adults who retire at age 65 is less than or equal to 62 % when it is actually false.

Step-by-step explanation:

A type I error happens when a true null hypothesis is rejected.

A type II error happens when a false null hypothesis is failed to be rejected.

In this case, where the alternative hypothesis is that "the percentage of adults who retire at age 65 is greater than 62%", the null hypothesis will state that this percentage is not significantly greater than 62%.

A type I error would happen when the conclusion is that the percentage is greater than 62%, when in fact it is not.

A type II error would happen when there is no enough evidence to claim that the percentage is greater than 62%, even when the percentage is in fact greater than 62% (but we still don't have evidence to prove it).

5 0
3 years ago
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