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Makovka662 [10]
3 years ago
12

Use a single digit times a power of 10 to express the number 0.0000000043 *

Mathematics
1 answer:
mixas84 [53]3 years ago
7 0
Answer: 4.3 * 10^-9 or 4.3 * 0.000000001

Reasoning:

PART 1

Expressing numbers as a digit times a power of 10 can also be referred to as expressing them in scientific notation. When expressing numbers in scientific notation, the digit that is multiplied by the power of 10 must be no less than 1 and no greater than 10.

So, 0.0000000043 becomes 4.3.

PART 2

To get the power of 10 that you’ll multiply 4.3 by to get 0.0000000043, you can count the decimal places that the decimal point on 4.3 has to move to the left to become 0.0000000043.

You get 9 decimal places.

This will be the exponent on the 10 (the power of 10 you’ll have to multiply 4.3 by to get your desired product).

Because your original number is smaller than 1, your exponent becomes negative. So, your power of 10 is 10^-9 or 0.000000001.

When you combine the PART 1 & 2 responses, you get the final answer
4.3 * 10^-9 or 4.3 * 0.000000001.

Hope this helps!

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Since our calculated value is lower than our critical value,z_{calc}=2.02, we have enough evidence to FAIL to reject the null hypothesis at 1% of singificance. So there is not nough evidence to conclude that mean for men it's significantly higher than the mean for female.

Step-by-step explanation:

1) Data given and notation  

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\bar X_{2}=4.5 represent the mean for group women  

Assuming these values for the remaining data:

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p_v represent the p value  

2) Concepts and formulas to use  

We need to conduct a hypothesis in order to check if the mean for men it's higher than the mean for women, the system of hypothesis would be:  

H0:\mu_{1} \leq \mu_{2}  

H1:\mu_{1} > \mu_{2}  

If we analyze the size for the samples both are higher than 30, and we know the population deviation's, so for this case is better apply a z test to compare means, and the statistic is given by:  

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We have all in order to replace in formula (1) like this:  

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"=NORM.INV(1-0.01,0,1)", and we got z_{critical}=2.33

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Since our calculated value is lower than our critical value,z_{calc}=2.02, we have enough evidence to FAIL to reject the null hypothesis at 1% of significance. So there is not nough evidence to conclude that mean for men it's significantly higher than the mean for female.

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