Q1 of company A = 2.5
Q3 of company A = 8
Interquatile range = (Q3 - Q1)/2 = (8 - 2.5)/2 = 5.5/2 = 2.75
Q1 of company B = 2
Q3 of company B = 5.5
Interquatile range = (5.5 - 2)/2 = 3.5/2 = 1.75
Therefore, t<span>he interquartile range for Company A employees is 2 more than the interquartile range for Company B employees.</span>
Answer:
There is no sufficient evidence to reject the company's claim at the significance level of 0.05
Step-by-step explanation:
Let be the true mean weight per apple the company ship. We want to test the next hypothesis
vs (two-tailed test).
Because we have a large sample of size n = 49 apples randomly selected from a shipment, the test statistic is given by
which is normally distributed. The observed value is
. The rejection region for is given by RR = {z| z < -1.96 or z > 1.96} where the area below -1.96 and under the standard normal density is 0.025; and the area above 1.96 and under the standard normal density is 0.025 as well. Because the observed value 1.4583 does not fall inside the rejection region RR, we fail to reject the null hypothesis.
Answer:
both the equations are identities
Step-by-step explanation:
Answer:
x^2+14x+49 ( it could be polynomial because it has 3 terms and each term has a whole number and a coefficient)
Step-by-step explanation:
(x+7)^2
(x+7)(x+7)
x^2+7x+7x+49
x^2+14x+49
I am not sure it's a polynomial or not
Answer:
240minutes
Step-by-step explanation:
She has 4 hours and 1 hour = 60minutes
so 4x60=240minutes