Answer:
Only natural numbers (i.e., non-negative integers) can be the exponents of variables in a polynomial.
Step-by-step explanation:
The exponent of variables in a polynomial should be natural numbers (
, 
, 
, 
, 
.)
is equal to 
. In this expression, 
is the variable. Its exponent is 
, which isn't a natural number.
- On the other hand,
is equivalent to 
. The exponent of variable is , which is indeed a natural number.
isn't a polynomial because the exponent of variable isn't a natural number. On the other hand, is indeed a polynomial over the set of real numbers.
Answer:
D. x = 7
Step-by-step explanation:
The labeled angles are the acute angles of a right triangle, so they are complementary. Their measures add up to 90 deg.
8x + 7 + 3x + 6 = 90
11x + 13 = 90
11x = 77
x = 7
Finding the slope using two points:
The formula for slope is
In this case...
^^^Plug these numbers into the formula for slope...
1
^^^This is your slope
Hope this helped!
~Just a girl in love with Shawn Mendes
Answer: flog6e
Step-by-step explanation:
The power property of logarithm rule is :
Logamn = nlogaM
Applying the logarithm of power rule in the given expression we have:
Log6eF= flog6e
The second option that is flog6e is the right option among all the given options.
A manager wants to test whether two normally distributed and independent populations have equal variances. the appropriate test statistic for this test is a "F-statistics."
<h3>
What is F-statistics?</h3>
An F statistic is a value obtained after performing an ANOVA test or even a regression analysis to determine whether the means of two populations differ significantly.
Some key features regarding the F-statistics are-
- It is comparable to a T statistic from the a T-Test; a T-test would then inform you when a single result is statistically significant, whereas a F test would then tell you if a set of variables is statistically significant.
- When determining whether your total results are significant, you must use the F statistic in conjunction with the p value. Why?
- A significant result does not imply that all of your variables have been significant.
- The statistic is simply comparing the cumulative influence of all the variables.
To know more about the F-statistics, here
brainly.com/question/17256783
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