Answer:
cluster sampling
Step-by-step explanation:
ideal groups of objects are naturally chaos arranged in groups, and randomly selected. Unlike class sampling, with homogeneously arranged groups and only a few randomly selected objects from each group, in cluster sampling, each group is allocated in a chaotic and all objects in the group become part of the sample.
Answer:
12.1
Step-by-step explanation:
OK; just divide 11 by 0.91, then round to the nearest tenth. That's going to give you 12.1
(1-sin²x)(sec x)
(1-sin²x) = cos²x (since sin²x +cos²x = 1)
(sec x) = 1/cosx
(cos²x) . (1/cosx) ==>(cos²x)/cosx) ==> ===> cosx
Answer:
-6 inches
Step-by-step explanation:
M = Mother
F = Father
K = Katrina
B = Brother
F-2=M
M-2=K
K-2=B
Add the amount of change between each person to get -6 inches.
Answer:
Kindly check explanation
Step-by-step explanation:
To construct confidence interval for difference in proportion ; the following conditions must be met :
1.) The selected samples must have been randomly chosen or selected from a larger population. This is essential in other to eliminate bias.
Each group of samples must be independently chosen. That is, the samples of bug customers chosen must be independent of the sample of small customers selected.
The population from which the samples are drawn must be considerably larger than the sample size. Sample size, n should be ≤ 10% of the population size.
p1 = 160 / 200 = 0.8 ; (1 - p1) = 0.2
p2 = 120 / 300 = 0.4 ; (1 - p2) = 0.6
(p1 - p2) ± Zcritical * sqrt[(p1(1 - p1) /n1) + (p2(1 - p2) / n2)]
