< for the first one. 3.4<4.0<4.2 for the second
Answer: stratified sampling and judgement sampling
Step-by-step explanation:
Stratified sampling is a probability method that is superior to random sampling because it reduces sampling error. A stratum is a subset of the population that share at least one common characteristic.
While
Judgment sampling is a nonprobability method. The researcher chooses the sample based on judgment. This is usually and extension of convenience sampling. For example, a researcher may decide to draw the entire sample from one "representative" city, even though the population includes all cities. When using this method, the researcher must be confident that the chosen sample is truly representative of the entire population.
Answer:
The product is 1.4
Step-by-step explanation:
Every time you multiply 0.2 by a number, add 0.2 to the previous number.
0.2 x 1 = 0.2
0.2 x 2 = 0.4
0.2 x 3 = 0.6
0.2 x 4 = 0.8
0.2 x 5 = 1.0
0.2 x 6 = 1.2
0.2 x 7 = 1.4
<span>A board is 5 inches long. The division sentence shows that when the board is cut into inch pieces, each piece will be will be inches long.
</span>hopes this helps :) :D :)
Answer:
The probability that the sample proportion is between 0.35 and 0.5 is 0.7895
Step-by-step explanation:
To calculate the probability that the sample proportion is between 0.35 and 0.5 we need to know the z-scores of the sample proportions 0.35 and 0.5.
z-score of the sample proportion is calculated as
z= where
- p(s) is the sample proportion of first time customers
- p is the proportion of first time customers based on historical data
For the sample proportion 0.35:
z(0.35)= ≈ -1.035
For the sample proportion 0.5:
z(0.5)= ≈ 1.553
The probabilities for z of being smaller than these z-scores are:
P(z<z(0.35))= 0.1503
P(z<z(0.5))= 0.9398
Then the probability that the sample proportion is between 0.35 and 0.5 is
P(z(0.35)<z<z(0.5))= 0.9398 - 0.1503 =0.7895