Answer:
The potential problem with samples that could explain this connection is:
Causality.
Explanation:
There are different problems with samples and sampling, including sampling bias, sample size, and explaining causality between two variables. Sometimes, small sample sizes can be used to draw conclusions, but the larger the sample size, the better. Likewise, the elimination of sampling bias increases the accuracy of research conclusions. Most importantly, while a relationship or correlation may exist between two variables, it does not necessarily imply or explain that one variable causes the other.
Yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixninediideboppp yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixninediideboppp yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixninediideboppp yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixninediideboppp yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixninediideboppp yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixninediideboppp yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixnine yyyymoneymancanudancetekashiesixninediideboppp
Answer:
n = 100 customers
X = 80 who paid at the pump
A) the sample proportion = p = X / n = 80 / 100 = 0.8
we can definitely state that 80% of the customers paid at the pump.
B) if we want to determine the 95% confidence interval:
z (95%) = 1.96
confidence interval = p +/- z x √{[p(1 - p)] / n}
0.80 +/- 1.96 x √{[0.8(1 - 0.8)] / 100}
0.80 +/- 1.96 x √{(0.8 x 0.2) / 100}
0.80 +/- 1.96 x √{(0.8 x 0.2) / 100}
0.80 +/- 1.96 x 0.4
0.80 +/- 0.0784
confidence interval = (0.7216 ; 0.8784)
C) We can estimate with a 95% confidence that between 72.16% and 87.84% of the customers pay at the pump.
Answer:
Material quantity variance
= (Standard quantity - Actual quantity) x Standard price
After the adjustment for missing order
Material quantity variance
= (1.25 x 5,000 - 6,200) x $1.50
= $ 75( F)
The correct answer is A
Explanation:
Material quantity variance is the difference between standard quantity and actual quantity used multiplied by standard price. Standard quantity is standard quantity per unit multiplied by units made. Since the units made are now 5,000 units. Standard quantity will be 1.25 multiplied by 5,000 units.
Answer:
C. Edge location
Explanation:
AWS Global infrastructure consists of multiple geographical locations. The locations are known as regions which provide a way to built highly fault tolerant infrastructures. AWS Global Infrastructures consists of four components; Availability Zones, Regions, Edge Locations and Regional Edge Caches.
