100

17) The fraction or ratio of a sample possessing a certain trait is called a. Population.

A characteristic of all confidence intervals is that: a confidence interval always increases in width as the level of confidence increases. If we wish to decrease the width (increase the precision) of a confidence interval, we would: increase the size of the sample.

What does a confidence interval tell you? he confidence interval tells you more than just the possible range around the estimate. It also tells you about how stable the estimate is. A stable estimate is one that would be close to the same value if the survey were repeated.

1.96

We want to construct a 95% confidence interval for with a margin of error equal to 4%. Because there is no estimate of the proportion given, we use for a conservative estimate. This is the minimum sample size, therefore we should round up to 601.

Determining the sample sizes involve resource and statistical issues. Usually, researchers regard 100 participants as the minimum sample size when the population is large.

Participants. In this part of the method section, you should describe the participants in your experiment, including who they were (and any unique features that set them apart from the general population), how many there were, and how they were selected.

Include information on whether they gave informed consent (if the participants were children, mention that their parents consented to their participation). Also, mention if the participants received any sort of compensation or benefit for their participation, such as money or course credit.

In research terms a sample is a group of people, objects, or items that are taken from a larger population for measurement. The sample should be representative of the population to ensure that we can generalise the findings from the research sample to the population as a whole.

Methods of sampling from a population

1. Simple random sampling. In this case each individual is chosen entirely by chance and each member of the population has an equal chance, or probability, of being selected.
2. Systematic sampling.
3. Stratified sampling.
4. Clustered sampling.
5. Convenience sampling.
6. Quota sampling.
7. Judgement (or Purposive) Sampling.
8. Snowball sampling.

How to perform simple random sampling

1. Step 1: Define the population. Start by deciding on the population that you want to study.
2. Step 2: Decide on the sample size. Next, you need to decide how large your sample size will be.
3. Step 3: Randomly select your sample.
4. Step 4: Collect data from your sample.

Definition: Random sampling is a part of the sampling technique in which each sample has an equal probability of being chosen. A sample chosen randomly is meant to be an unbiased representation of the total population.

The two requirements for a random sample are: (1) each individual has an equal chance of being selected, and (2) if more than one individual is selected, the probabilities must stay constant for all selections. and find the proportion in the tail.

Here are the steps to seed your calculator:

1. Enter the number you are using to seed your calculator. 16286.
2. Press.
3. To insert the rand command, press.
4. Press [ENTER] to seed your calculator. See the first line in the second screen.
5. Try it out! Use randInt( to generate a random number.

The Ran#: Generates a pseudo random number to 3 decimal places that is less than 1. The calculator automatically displays in Natural display. If we are generating lots of numbers this may become annoying.