Once again, Brainly chokes on my answer, so you get it as a picture.
1) translation
2) reflection
Exponential:
It is called the exponential function of base a, to that whose generic form is f (x) = a ^ x, being a positive number other than 1.
Every exponential function of the form f (x) = a^x, complies with the followingProperties:
1. The function applied to the zero value is always equal to 1: f (0) = a ^ 0 = 1
2. The exponential function of 1 is always equal to the base: f (1) = a ^ 1 = a.
3. The exponential function of a sum of values is equal to the product of the application of said function on each value separately.
f (m + n) = a ^ (m + n) = a ^ m · a ^ n
= f (m) · f (n).
4. The exponential function of a subtraction is equal to the quotient of its application to the minuend divided by the application to the subtrahend:
f (p - q) = a ^ (p - q) = a ^ p / a ^ q
Logarithm:
In the loga (b), a is called the base of the logarithm and b is called an argument, with a and b positive.
Therefore, the definition of logarithm is:
loga b = n ---> a ^ n = b (a> 0, b> 0)
Answer:
answers are 3 and 62
Step-by-step explanation:
the answers were give above. If further instruction needed lmk :)
Answer:
Interpretation of P-value.
Step-by-step explanation:
- P values helps us to evaluate and act as an indicator how well the sample data support the null hypothesis is true.
- Thus, in a way it helps us to tell that the information obtained from the sample is true in respect to the population or not.
- It measures how close the data are with respect to the null hypothesis.
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High P-values means that the data supports the null hypothesis and sample provides correct information about the population.
- A high p value states that the sample is taken from the population.
- Low P-values means that the data does not supports the null hypothesis and sample does not provides correct information about the population.
- A low p value states that the sample is not taken from the population.
- A low P value suggests that the sample provides enough evidence and information, that we can reject the null hypothesis for the entire population or we can conclude that the sample does not belong to the population.
- If p-value of 0.002 is less than the significance level than it provides enough evidence that we reject the null hypothesis.
- Thus a low p value of 0.002 says that large group of late lunch eaters lost less weight than a large group of early lunch eaters.
- Thus, this sample does not belong to the population where the loss in weight was same.
The probability would be unlikely 0 is impossible 25-50 is unlikely 50 through 75 is likely and 75 through 100 is certain
