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Licemer1 [7]
3 years ago
11

Neil has 214 pounds of apples. He uses 23 of the apples to make pies. How many pounds of apples does Neil use to make pies?

Mathematics
2 answers:
Alex3 years ago
7 0

Answer:

sry need points

Step-by-step explanation:

slava [35]3 years ago
4 0

Answer:

sorry um i forgot :(

Step-by-step explanation:

16733

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If f(x)=x-5, then match each of the following.
almond37 [142]

Answer:

more than likely its

f(1) -5

Step-by-step explanation:

6 0
2 years ago
What’s the answer to this
ryzh [129]

Answer:

  see below

Step-by-step explanation:

The graph extends to the left more or less horizontally, approaching the line y=3. The only choice that expresses that is the third one.

7 0
3 years ago
Hey guys please help with both
podryga [215]
1/2 *(a+b)-(a-b)²
a=18, b=14
1/2 *(18+14)-(18-14)²=1/2 *(18+14)-(18-14)²= 1/2*32-4²=16-16=0
answer D

answer B 
2 factors have 2 terms: (x+4) and (y+4)

5 0
3 years ago
Identify the type I error and the type II error that corresponds to the given hypothesis. The proportion of people who write wit
iren [92.7K]

Answer:

For the type I error, it's option D

For the type II error, it's option B

Step-by-step explanation:

A) A type I error is when we reject the null hypothesis even if it is true.

Let's set up the two hypotheses;

Null Hypothesis:

H0: p = 0.15

It represents: "The proportion of people who write with their left hand is equal to 0.15."

Alternative Hypothesis:

H1: p ≠ 0.15

In English: "The proportion of people who write with their left hand is different from 0.15" i.e not equal to 0.15

If we make a type I error, then it means we reject H0 (the null hypothesis) and go with the alternative hypothesis (H1). However, the reality is that H0 was the true hypothesis all along.

Thus, we reject the claim that the The proportion of people who write with their left hand is equal to 0.15 when in reality the proportion is actually 0.15

This means the answer for the first part is Option D

B) A type II error is when we fail to reject the null and must "accept" the null; however, the reality is that the alternative hypothesis was the true hypothesis. Hence, making a type two error means we reject the second hypothesis and make a mistake in doing so.

If we make a type II error, then we fail to reject the claim that proportion of people who write with their left hand is equal to 0.15, when the proportion is actually different from 0.15

Thus, he answer is Option B

7 0
3 years ago
If Jefferson is drawing cards from a deck, and draws a 4 of hearts and a 10 of diamonds, what is this situation considered?
katrin2010 [14]
<h3>Answer:  A) Outcome</h3>

==========================================================

Explanation:

We can rule out "theoretical probability" since that concept deals with doing the math on paper, rather than getting out an actual deck of cards to compute the probability. If your teacher stated "the probability of drawing an ace is 1/13", then s/he would be using theoretical probability. We have a 1 in 13 chance to theoretically pick an ace out of all 52 cards since 4/52 = 1/13. No cards are needed to do such calculations. But if you actually pull out a deck of cards and randomly select them, then you'd be leaning toward empirical or experimental probability.

So in short, we can rule out choice B.

We can also rule out "complement" since the two situations of "drawing a 4" and "drawing a 10" aren't opposite. If it said something like "drawing a red card or drawing a black card", then those two events are opposite. The two events fully compose all the deck of cards (sample space). You either will draw a red one, or a black one, but not both colors at the same time.

So we're down to the answer being either A) outcome or D) event. At first glance, these two terms seem almost identical. However, they mean slightly different things.

Let's pick apart what each of those terms mean.

----------------

The outcome is the result of an event. An event is some specific action that you may or may not want to happen, and it's usually phrased within the parameters your teacher set up.

For example, we can define the event "it rains outside". So we're setting up the specific action of raining. Whether we want it or not doesn't really matter. The outcome would be the actual result of if the event happens or not. So if it does truly rain on day 1, then the outcome "rain" is what is recorded for day 1. Then if its dry on day 2, then "no rain" is the outcome for that second day. And so on.

Going back to the cards, one event could be set up as "selecting a heart card" with the outcome being "selected a 4 of hearts". The event is the rule set up and the outcome is the result we observe. To compute the empirical or experimental probability, we divide the number of times we get a specific event to occur over the total number of possible

---------------

Let's look at another example.

We'll roll a single die that has 6 faces on it. The set of possible outcomes are {1,2,3,4,5,6}. Only one outcome is possible per roll.

If we roll the die and it lands on 5, then the outcome is 5. This is the final result of the trial or experiment.

We can define an event like "A = rolling an even number", and then ask the question "what is the probability event A occurs?" In other words, we would be asking "what is the probability of rolling an even number?"

---------------

I suppose now that I think about it, we can state,

  • outcome = some single action you observe
  • event = collection of outcomes (usually some pattern to it)

as a loose way of telling the difference between the two terms.

Ultimately, the observations of getting a 4 of hearts and 10 of diamonds are considered an outcome.

4 0
3 years ago
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