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Irina-Kira [14]
3 years ago
10

Log 200 ~ 2.301 Write in exponential form

Mathematics
1 answer:
Luda [366]3 years ago
6 0

Answer:

It can't be answered because it has to have a variable or number after log200 because that's how you get 2.301.

Step-by-step explanation:

Give me the variable or number and I'll answer it from there.

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Hi help me with this pls ​
Rudiy27

\huge \underline{ \pink{Answer}}

Refer to the attachments

Attachment (1)

B (1)

Attachment 2

B(2)

3 0
2 years ago
What is the mean for the following set of data?<br> 2,5, 7, 8, 11, 11, 12<br> 10<br> 11<br> 8
Yuri [45]
Add up all the numbers & divide by the number of numbers. That should give you the mean.
4 0
3 years ago
Read 2 more answers
Can someone help me!!!
Eva8 [605]
\text {Distance} =  \sqrt{(7-0)^2 + (-6+3)^2} =  \sqrt{7^2+(-3)^2} =  \sqrt{58} = 7.6 \text{ units}

Answer: 7.6 units
7 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
SCORPION-xisa [38]

Answer:

Type I error is to Reject the claim that the proportion of people who write with their left hand is 0.29 when the proportion is actually 0.29.

Type II error is Fail to reject the claim that the proportion of people who write with their left hand is 0.29 when the proportion is different from 0.29.

Step-by-step explanation:

We are given the following hypothesis below;

Let p = <u><em>proportion of people who write with their left hand</em></u>

So, Null Hypothesis, H_0 : p = 0.22     {means that the proportion of people who write with their left hand is equal to 0.22}

Alternate Hypothesis, H_A : p \neq 0.22      {means that the proportion of people who write with their left hand is different from 0.22}

Now, Type I error states that we conclude that the null hypothesis is rejected when in fact the null hypothesis was actually true. Or in other words, it is the probability of rejecting a true hypothesis.

So, in our question; Type I error is to Reject the claim that the proportion of people who write with their left hand is 0.29 when the proportion is actually 0.29.

Type II error states that we conclude that the null hypothesis is accepted when in fact the null hypothesis was actually false. Or in other words, it is the probability of accepting a false hypothesis.

So, in our question; Type II error is Fail to reject the claim that the proportion of people who write with their left hand is 0.29 when the proportion is different from 0.29.

4 0
3 years ago
Plz help....................
BaLLatris [955]
The answer is 22.3 i hope that helped


3 0
3 years ago
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