Answer:
I can’t give you the answer but there this google app
Step-by-step explanation:
Called algebratiger
Nonparametric tests are also called distribution-free tests because they don't assume that your data follow a specific distribution. You may have heard that you should use nonparametric tests when your data don't meet the assumptions of the parametric test, especially the assumption about normally distributed data.
11 feet I think, hope this helps
Answer:
Step-by-step explanation:
given that we are interested in finding out the proportion of adults in the United State who cannot cover a $400 unexpected expense without borrowing money or going into debt.
Sample size = 765
Favour = 322
a) The population is the adults in the United State who cannot cover a $400 unexpected expense without borrowing money or going into debt
b) The parameter being estimated is the population proportion P of adults in the United State who cannot cover a $400 unexpected expense without borrowing money or going into debt.
c) point estimate for proportion = sample proporiton = 
d) We can use test statistic here as for proportions we have population std deviation known.
d) Std error = 0.01785(
Test statistic Z = p difference / std error
f) when estimated p is 0.50 we get Z = -4.43
g) Is true population value was 40% then
Z = 1.17 (because proportion difference changes here)
Step-by-step explanation:
6 times 9 is 54.
54 divided by 2 is 27 volume ( recipitor) is 27 for no.1
6 times 7 is 42
42 divided by 2 is 21 is the recipitor or volume for no.2
there fore a has a bigger base surface
as base is measured by recipitorial angles
sorry if this isnt the right answer or what u wanted but I know it this way