Aluminium cylinder: m = 12.4 g, L = 2.00 cm.
V = π r² L
Density of the aluminium: 2.7 g / cm³
V = 12.4 g : 2.7 g/cm³ ≈ 5 cm³
5 = 3.14 · r² · 2
r² = 5 : 6.28
r² = 0.796
r = √0.796
r = 0.9 cm
Answer:
The radius of an aluminium cylinder is 0.9 cm.
Answer:
0.0143 = 1.43% probability that first 4 digits of the code are even numbers.
Step-by-step explanation:
Arrangements of n elements:
The number of possible arrangements of n elements is given by:
Probability:
A probability is the number of desired outcomes divided by the number of total outcomes.
In this question:
Desired outcomes:
First four digits are even(2, 4, 6 and 8 are even, so arrangements of 4 elements).
Last four digits are odd(1, 3, 5 and 7 are odd, so the last four elements are also arrangements of 4 elements). So
Total outcomes:
Arrangements of 8 digits. So
Probability:
0.0143 = 1.43% probability that first 4 digits of the code are even numbers.
Answer and explanation:
Please find attached answer and explanation
Answer: 
Step-by-step explanation:
We know that mean and standard deviation of sampling distribution is given by :-
, where 
= population mean
=Population standard deviation.
n= sample size .
In the given situation, we have
n= 2
Then, the expected mean and the standard deviation of the sampling distribution will be :_
[Rounded to the nearest whole number]
Hence, the the expected mean and the standard deviation of the sampling distribution :
Answer:
Methods of obtaining a sample of 600 employees from the 4,700 workforce:
Part A: The type of sampling method proposed by the CEO is Convenience Sampling.
Part B: When there are equal number of participants in both campuses, stratification by campus would give a more precise approximation of the proportion of employees who are satisfied with the cleanliness of the breakrooms than stratification by gender. Another method to ensure that stratification by campus gives a more precise approximation of the proportion of employees who are satisfied with the cleanliness of the breakrooms than stratification by gender is to ensure that the sample is proportional to the proportion of each campus to the whole population or workforce.
Step-by-step explanation:
A Convenience Sampling technique is a non-probability (non-random) sampling method and the participants are selected based on availability (early attendees). The early attendees might be different from the late attendees in characteristics such as age, sex, etc. Therefore, sampling biases are present. All non-probability sampling methods are prone to volunteer bias.
Stratified sampling is more accurate and representative of the population. It reduces sampling bias. The difficulty arises in choosing the characteristic to stratify by.
