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trapecia [35]
3 years ago
9

Solve for x in the equation 1.23^x=10

Mathematics
1 answer:
Rzqust [24]3 years ago
7 0

Answer:

x= log123/100*(10)

Step-by-step explanation:

You might be interested in
Si un triángulo tiene una hipotenusa de 15 cm y un cateto que mide 12 cm, ¿cual es la longitud del otro cateto?
BartSMP [9]

Answer:

   

9cm

Explicación:

El teorema de pitagoras nos dice que la hipotenusa al cuadrado es igual a la suma de los catetos al cuadrado:

c^{2} =a^{2} + b^{2}

Donde c es la hipotenusa y a  y b son los catetos.

Por lo cual, podemos reemplazar c por 15cm y a por 12cm :

15^{2} =12^{2} +b^{2}

Finalmente , debemos resolver la ecuación para b, así que b es igual a :

225=144+b^{2} \\225-144=144+b^{2} -144\\81=b^{2} \\\sqrt{81} =b\\9=b

Por lo tanto, la longitud del otro cateto es 9 cm

3 0
3 years ago
20)
ivolga24 [154]

Answer:

0 & 1

Step-by-step explanation:

3(1 + x) < x + 6

Distribute

3x+3 < x+6

Subtract x from each side

3x+3-x < x+6-x

2x+3 <6

Subtract 3 from each side

2x+3-3 <6-3

2x <3

Divide each side by 2

2x/2 <3/2

x <3/2

3 0
3 years ago
Akiko is multiplying -15 by a positive integer. Which of the following statements describes the product Akiko should get?
Lesechka [4]

Answer:

Step-by-step explanation:

-15

8 0
3 years ago
Previous studies on sleep tendencies report that, on average, an adult American will sleep for 6 hours each night with a standar
Tom [10]

Answer: One sample z test for means

Step-by-step explanation:

From the information given, the sample size is large. It is greater than 30. Again, the population standard deviation is given. This means that the test statistic would be the z score which is determined by the formula

z = (x - µ)/σ

Where

x = sample mean

µ = population mean

σ = population standard deviation

The probability value would be determined from the normal distribution table.

Therefore, the hypothesis test that should be used is

One sample z test for means

7 0
3 years ago
A car company says that the mean gas mileage for its luxury sedan is at least 24 miles per gallon​ (mpg). You believe the claim
Anastaziya [24]

Answer:

t=\frac{23-24}{\frac{5}{\sqrt{5}}}=-0.447    

p_v =P(t_{(4)}  

If we compare the p value and the significance level given \alpha=0.1 we see that p_v>\alpha so we can conclude that we have enough evidence to fail reject the null hypothesis, so we can't reject the claim that the true mean is at least 24 mpg (null hypothesis) at 1% of signficance.  

Step-by-step explanation:

Data given and notation  

\bar X=23 represent the sample mean

s=5 represent the sample standard deviation for the sample  

n=5 sample size  

\mu_o =24 represent the value that we want to test

\alpha=0.1 represent the significance level for the hypothesis test.  

t 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 lower than 24 (rejecting the claim proposed), the system of hypothesis would be:

Null hypothesis:\mu \geq 24  

Alternative hypothesis:\mu < 24  

If we analyze the size for the sample is < 30 and we don't know the population deviation so is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:  

t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}}  (1)  

t-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:  

t=\frac{23-24}{\frac{5}{\sqrt{5}}}=-0.447    

P-value

The first step is calculate the degrees of freedom, on this case:  

df=n-1=5-1=4  

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

p_v =P(t_{(4)}  

Conclusion  

If we compare the p value and the significance level given \alpha=0.1 we see that p_v>\alpha so we can conclude that we have enough evidence to fail reject the null hypothesis, so we can't reject the claim that the true mean is at least 24 mpg at 1% of signficance.  

5 0
3 years ago
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