Https://foreignpolicy.com/2015/10/05/irans-identity-crisis/
Answer:
1. It reduces the probability of sampling bias.
2. A random sample will be more representative of the whole population.
3. Allows the researcher to determine the efficacy of the fertilizer.
Explanation:
Selecting a simple random simple from a large population is a widely used method in science. Researchers select a random sample so every individual, in this case seedling, has an equal chance to be selected.
Therefore, it is an accurate method that, although is not free from errors, avoids or reduces the probability of sampling bias. Selecting a truly random tomato seedling will be more representative of the whole population of seedling instead of selecting carefully a seedling that already has specific or desired characteristics. Hence, this random sampling will allow the researcher to determine the efficacy of the fertilizer.
You didn’t include the passage
Answer:
Because the confidence interval includes zero, the researcher can conclude the proportion of men and women who exercise regularly may be the same.
Explanation:
When constructing a two-proportion z-interval, it is important to look for the value zero. A value of zero in the interval shows there is no difference in the proportions between the two populations.
If the interval contains all positive numbers, it implies the true proportion for sample 1 is greater than that for sample 2. If the interval contains all negative numbers, it implies the true proportion for sample 1 is less than that for sample 2.
