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Leviafan [203]
3 years ago
15

Serenity's monthly bank statement showed the following deposits and withdrawals:

Mathematics
2 answers:
GREYUIT [131]3 years ago
4 0

Answer:

22.45

Step-by-step explanation:

goldenfox [79]3 years ago
4 0

Answer: The correct answer is -132.64

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A square has a side length of 3x inches and an area of 324 in? What is the value of x​
Firdavs [7]

So its a square with a side length of 3x so all sides are 3x so 3x x 3x is 9x 9x = 324 so 924/9 is your answer ;D

8 0
3 years ago
What is the solution to the inequality.
Novosadov [1.4K]

Answer:

a. x<7 and x>-7

Step-by-step explanation:

√x²<√49

-7<x<7 hope this helps

7 0
2 years ago
What is the y intercept of the line -4x + 6y = -12?
snow_lady [41]
  -4x + 6y = -12
-4(0) + 6y = -12
     0 + 6y = 12
           <u>6y</u> = <u>12</u> 
            6      6
             y = 2

The y-intercept of the equation is 2.
6 0
3 years ago
ILL BRAINLIEST YOU PLEASE HELP ME
joja [24]

Answer:

82°

Step-by-step explanation:

6 0
3 years ago
Each year, more than 2 million people in the United States become infected with bacteria that are resistant to antibiotics. In p
Olegator [25]

Answer:

Reject <em>H</em>₀. There is a significant difference in drug resistance between the two states.

Step-by-step explanation:

In this case we need to determine whether the data suggest a statistically significant difference between the proportions of drug-resistant cases in the two states.

The significance level of the test is, <em>α</em> = 0.02.

(1)

The hypothesis can be defined as follows:  

<em>H</em>₀: There is no difference between the proportions of drug-resistant cases in the two states, i.e. p_{1} - p_{2}=  0.  

<em>Hₐ</em>: There is a statistically significant difference between the proportions of drug-resistant cases in the two states, i.e. p_{1} - p_{2}\neq  0.  

(2)

Compute the sample proportions and total proportion as follows:

\hat p_{1}=\frac{12}{189}=0.063\\\\\hat p_{2}=\frac{8}{429}=0.019\\\\\hat p=\frac{12+8}{189+429}=0.032\\

Compute the test statistic value as follows:

Z=\frac{\hat p_{1}-\hat p_{2}}{\sqrt{\hat p(1-\hat p)\times [\frac{1}{n_{1}}+\frac{1}{n_{2}}]}}

   =\frac{0.063-0.019}{\sqrt{0.032(1-0.032)\times [\frac{1}{189}+\frac{1}{429}]}}\\\\=2.86

The test statistic value is 2.86.

(3)

The decision rule is:

The null hypothesis will be rejected if the p-value of the test is less than the significance level.

Compute the p-value as follows:

p-value=2\cdot P(Z>2.86)=2\times 0.00212=0.00424

<em>p</em>-value = 0.00424 < <em>α</em> = 0.02.

The null hypothesis will be rejected at 0.02 significance level.

Reject <em>H</em>₀. There is a significant difference in drug resistance between the two states.

7 0
3 years ago
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