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Lera25 [3.4K]
2 years ago
14

A) Using 4 figure log table, evaluate : 3.14298.132.2lim 2Ay​

Mathematics
1 answer:
evablogger [386]2 years ago
4 0

Answer:

In my opinion math is very important to me and I will be there in a few minutes

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a man pays 330 each month for his gym membership what is the change in the amount of money in his account after two thirds of a
olasank [31]

\dfrac{\$330}{1\,month}\times\dfrac{12\,month}{1\,year}\times\dfrac{2}{3}\,year\\\\=\$2640

The account will have decreased by $2640 after 2/3 year.

6 0
3 years ago
D(1)=3 d(n) = d(n-1) - 14 what is the third term in the sequence
Aliun [14]
2nd term  =  3 - 14 = -11
3rd tern = -11-14 = -25 answer
6 0
3 years ago
A car travels along a straight stretch of road. It proceeds for 16.2 mi at 57 mi/h, then 24.6 mi at 44 mi/h, and finally 45.1 mi
LekaFEV [45]

Answer:

The average velocity the entire trip was 43.25 mi/h

Step-by-step explanation:

In this case we have to calculate an average based on the miles traveled. First we have to calculate the total of miles traveled, then calculate the portion of the total travel of each and with this calculate the average speed during the trip. First the total miles traveled:

TotalMiles=16.2+24.6+45.1=85.9

Now the percentages:

At 57 mi/h were \frac{16.2}{85.9}=0.19

At 44 mi/h were \frac{24.6}{85.9}=0.29

At 37.8 mi/h were \frac{45.1}{85.9}=0.52

Now multiplying the speed by the portion and summing them we can have the average velocity:

57*0.19+44*0.29+37.8*0.52=43.25

The average velocity the entire trip was 43.25 mi/h

5 0
3 years ago
I will give brainlest thanks
Dmitrij [34]
The answer is choice A- 68
7 0
3 years ago
Read 2 more answers
P-value test and Ctitical Value test are identical. P-value and Critical value are two different names for the same steps. They
creativ13 [48]

Answer:

Option B - False

Step-by-step explanation:

Critical value is a point beyond which we normally reject the null hypothesis. Whereas, P-value is defined as the probability to the right of respective statistic which could either be Z, T or chi. Now, the benefit of using p-value is that it calculates a probability estimate which we will be able to test at any level of significance by comparing the probability directly with the significance level.

For example, let's assume that the Z-value for a particular experiment is 1.67, which will be greater than the critical value at 5% which will be 1.64. Thus, if we want to check for a different significance level of 1%, we will need to calculate a new critical value.

Whereas, if we calculate the p-value for say 1.67, it will give a value of about 0.047. This p-value can be used to reject the hypothesis at 5% significance level since 0.047 < 0.05. But with a significance level of 1%, the hypothesis can be accepted since 0.047 > 0.01.

Thus, it's clear critical values are different from P-values and they can't be used interchangeably.

8 0
3 years ago
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