Answer:
It has reflectional symmetry with four lines of symmetry. It has no rotational symmetry It has point symmetry. It has rotational symmetry with an angle of rotation of 90°.
Answer:
(E) The bias will decrease and the variance will decrease.
Step-by-step explanation:
Given that researchers working the mean weight of a random sample of 800 carry-on bags to e the airline.
We have to find out the effect of increasing the sample size on variance and bias.
We know as per central limit theorem, sample mean follows a normal distribution with mean = sample mean
and std deviation of sample mean = std error = 
Thus std error the square root of variance is inversely proportional to the square root of sample size.
Also whenever we increase sample size the chances of bias would decrease as the sample size becomes larger
So correct answer is both bias and variation will decrease.
(E) The bias will decrease and the variance will decrease.
-1/3n = -12 is the way you write it
Let x be the length of a month on the other dimension. Since a year value is 365.242 days
We have 2 × 365.242 = 5 × x
It means that 5x = 730,484
and that x = 730,484 / 5 ≈ 146,1 days rounded to the decimal
This means that a month length in the other dimension is of roughly 146 days.. and If we assume that a month in the other dimension is of 30 days approximately, then one day length would be of 146,1 / 30 ≈ 4.87 days