The average rate of change between day 9 and day 14 is 20.
Answer:
0.5 units
Step-by-step explanation:
The dilation factor is ...
(GZ')/(GZ) = (GZ')/(GZ' +Z'Z) = 1.5/(1.5 +7.5) = 1/6
Side WX is 3 units, so side W'X' is (1/6)(3 units) = 1/2 units
W'X' is 0.5 units.
Answer:
No. we cannot believe it as per hypothesis test done.
Step-by-step explanation:
Given that five hundred draws are made at random with replacement from a box of numbered tickets; 276 are positive.
To test the claim whether the proportion for positive numbers is 50% let us conduct a hypothesis test for proportions.
(Two tailed test at 5% significance level)
Sample proportion p =
Std error of p =
(assuming null hypothesis to be true)
Here P = 0.50
Test statistic = p difference/std error =
Z test is used for this proportion.
p value = 0.0198
Since p value <0.05 we reject null hypothesis
At 95% confidence level, there is statistical evidence to show that sample mean is not 50%
10 hours and 10 minutes lol
Is there anything that explains what C and n are?