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stepladder [879]
2 years ago
7

20pts!! ANSWER ASAP!! FIRST ANSWER GETS BRAINLIEST

Mathematics
2 answers:
Naddik [55]2 years ago
8 0

Answer:

b

Step-by-step explanation:

I'm quite positive its b hopefully:)!

Levart [38]2 years ago
4 0

Answer:

B.b if you follow the formula and chances are very high for it to be b

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PLEASE HELP!! Find an equation for the graph, Write in form y=AsinBx or y=AcosBx.
Zepler [3.9K]

Answer:

4cos4x

Step-by-step explanation:

let's use cos

amplitude=4

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2pi/x=pi/2

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no phase shift

y=4cos4x

pic from desmos

5 0
3 years ago
7 1/2 pints = _____ quarts
k0ka [10]
7 1/2 pints into quarts is 3.75
4 0
3 years ago
Read 2 more answers
Based on the sample of 500 people, 42% owned cats. Calculate the test statistic. Round to two decimal places.
Tanzania [10]

Answer:

z= 3.63

z for  significance level = 0.05 is ± 1.645

Step-by-step explanation:

Here p = 42% = 0.42

n= 500

We formulate our null and alternative hypotheses as

H0: p= 0.42     against Ha : p> 0.42 One tailed test

From this we can find q which is equal to 1-p= 1-0.42 = 0.58

Taking p`= 0.5

Now using the z  test

z= p`- p/ √p(1-p)/n

Putting the values

z= 0.5- 0.42/ √0.42*0.58/500

z= 0.5- 0.42/ 0.0220

z= 3.63

For one tailed test the value of z for  significance level = 0.05 is ± 1.645

Since the calculated value does not fall in the critical region we reject our null hypothesis  and accept the alternative hypothesis that more than 42%  people owned cats.

4 0
4 years ago
The number of bacteria growing in an incubation culture increases with time according to n left parenthesis t right parenthesis
Anon25 [30]
For this case we have the following function:
 n (t) = 2400 * (5) ^ t 
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 60000 = 2400 * (5) ^ t
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 (5) ^ t = 60000/2400
 log5 ((5) ^ t) = log5 (60000/2400)
 t = log5 (60000/2400)
 t = 2 days
 Answer:
 
the number of bacteria in the culture will be 60 comma 000 after:
 
t = 2 days
5 0
3 years ago
The results of a linear regression are shown below.
IgorLugansk [536]

Hello!

As we can see, our a value, which would be the coefficient of x, which determines our slope, is negative, meaning that this whole line is negative.

Furthermore, the correlation can be determined using the r value of the linear regression, which is around -0.9.

If the r value of the linear regression is close to 1 or -1, let's say around |r| > 0.8, then we can consider the regression a strong correlation, meaning that this is a strong negative correlation, which is answer choice A.

3 0
3 years ago
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