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nataly862011 [7]
3 years ago
7

What is 2 times 2 2/5

Mathematics
2 answers:
Komok [63]3 years ago
8 0

Answer:

4.8 or 4 4/5

Step-by-step explanation:

topjm [15]3 years ago
6 0

Answer:

4 4/5

Step-by-step explanation:

Well, you have to convert for this question. To convert a whole number into a fraction, just add a 1 for the denominator. Boom! Your 2 is now a 2/1. Now for your mixed fraction. That is going to turn into an improper fraction. You multiply the denominator by the whole number then add it to the numerator. Simple, huh? So that is 2×5+2. That's 12. Now you put the original denominator and your fraction is now 12/5. 2/1 × 12/5 is 24/5. That simplified is 4 4/5. Hope this helped!

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Step-by-step explanation:

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How can I simplify/rewrite the 1st(top) equation into the 2nd(Botton),please show a step by step solution.​
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see below

Step-by-step explanation:

-2(4 - \frac{x}{2} )^{5} + C

Think of the above as:

  -\frac{2}{1} * (\frac{8}{2} - \frac{x}{2} )^{5} + C

= -\frac{2}{1} * \frac{(8 - x)^{5}}{2^{5}}  + C

= -\frac{2}{1} * \frac{(8 - x)^{5}}{32}  + C

= -\frac{1}{1} * \frac{(8 - x)^{5}}{16}  + C

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Can flip it around to be...

\frac{(x - 8)^{5}}{16}  + C

4 0
2 years ago
Kendrick and Rishaun spend a total of $112 at an amusement park. They spend $32 on parking, $12 on lunch, and the rest on 2 admi
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3 years ago
A development economist is studying income growth in a rural area of a developing country. The last census of the population of
kykrilka [37]

Answer:

If we compare the p value and the significance level given \alpha=0.01 we see that p_v>\alpha so we can conclude that we have enough evidence to FAIL reject the null hypothesis, so we can say that the population mean is not singificantly higher than 425.  

Step-by-step explanation:

Data given and notation  

\bar X=433.75 represent the mean height for the sample  

\sigma=\sqrt{2500}=50 represent the population standard deviation for the sample  

n=100 sample size  

\mu_o =425 represent the value that we want to test

\alpha=0.01 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 height actually is higher than the mean height for men in 1960, the system of hypothesis would be:  

Null hypothesis:\mu \leq 425  

Alternative hypothesis:\mu > 425  

Since 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{433.75-425}{\frac{50}{\sqrt{100}}}=1.75    

P-value

Since is a one right tail test the p value would be:  

p_v =P(z>1.75)=1-P(z  

Conclusion  

If we compare the p value and the significance level given \alpha=0.01 we see that p_v>\alpha so we can conclude that we have enough evidence to FAIL reject the null hypothesis, so we can say that the population mean is not singificantly higher than 425.  

3 0
3 years ago
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