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grin007 [14]
2 years ago
5

I NEED HELP LIKE NOW

Mathematics
2 answers:
Harman [31]2 years ago
7 0
I think the last one is my best bet
Fiesta28 [93]2 years ago
7 0

Answer:

3(4+5) = 3(4)+5

Step-by-step explanation:

it moves the numbers around

You might be interested in
21, 31, 26, 24, 25, 26<br>Mean:<br>Median:<br>Mode:<br>Range:​
BlackZzzverrR [31]
Order them from smallest to largest:
21, 24, 25, 26, 26, 31

mean: 25.5
add all the numbers up and divide them by 6.

median: 25.5
the number in between 25 & 26.

mode: 26
there are two 26’s in the pattern.

range: 21-31
4 0
3 years ago
The sum of 5 consecutive odd numbers is 145 what is the third number in this sequence
ivanzaharov [21]
(2x+1) + (2x+3) + (2x+5) + (2x+7) + (2x+9) = 145

10x + 25 = 145

10x  = 120

x = 12

2x + 1 = 25

Sequence = 25 +27 +29 +31 +33

Third number = 29
 

6 0
3 years ago
A 400-g sample of a radioactive substance is placed in a chamber to be tested. After 3 h,
muminat

Answer:

You left out the quantity of grams remaining.

Step-by-step explanation:

3 0
3 years ago
Our environment is very sensitive to the amount of ozone in the upper atmosphere. The level of ozone normally found is 4.6 parts
kirill115 [55]

Answer:

z=\frac{4.5-4.6}{\frac{1.1}{\sqrt{860}}}=-2.666    

p_v =2*P(Z  

If we compare the p value and the significance level given \alpha=0.02 we see that p_v so we can conclude that we have enough evidence to reject the null hypothesis, so we can conclude that the true mean is different from 4.6 at 2% of signficance.  

Step-by-step explanation:

Data given and notation  

\bar X=4.5 represent the sample mean

\sigma=1.1 represent the population standard deviation

n=860 sample size  

\mu_o =4.6 represent the value that we want to test

\alpha=0.02 represent the significance level for the hypothesis test.  

z would represent the statistic (variable of interest)  

p_v represent the p value for the test (variable of interest)  

State the null and alternative hypotheses.  

We need to conduct a hypothesis in order to check if the mean is equal or not to 4.6, the system of hypothesis would be:  

Null hypothesis:\mu = 4.6  

Alternative hypothesis:\mu \neq 4.6  

If we analyze the size for the sample is > 30 and we know the population deviation so is better apply a z test to compare the actual mean to the reference value, and the statistic is given by:  

z=\frac{\bar X-\mu_o}{\frac{\sigma}{\sqrt{n}}}  (1)  

z-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".  

Calculate the statistic

We can replace in formula (1) the info given like this:  

z=\frac{4.5-4.6}{\frac{1.1}{\sqrt{860}}}=-2.666  

P-value

Since is a two sided test the p value would be:  

p_v =2*P(Z  

Conclusion  

If we compare the p value and the significance level given \alpha=0.02 we see that p_v so we can conclude that we have enough evidence to reject the null hypothesis, so we can conclude that the true mean is different from 4.6 at 2% of signficance.  

5 0
3 years ago
The weight of a nickel is 5g. How many mg does a nickel weigh?
telo118 [61]
Grams measures mass not weight

1 g = 1000 mg
(5 g)(1000) = 5000 mg

A nickel's mass is equal to 5000 mg
3 0
3 years ago
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