Question

1. Provide an example when a simple random sample doesn't lead to less bias? 2. Consider...

1. Provide an example when a simple random sample doesn't lead to less bias?

2. Consider an experiment where we're trying to determine how much water is needed to grow tomatoes. We have 16 pots with one tomato plant in each. We decide to try four different amounts of water (2 oz., 4, 6, 8). At the end of the study, the yield of tomatoes will be measured. Given no other information, what type of design is this?

Completely Randomized Design

Latin Square Design

Completely Randomized Block Design

Factorial Design

3. A response bias occurs when

The population is undercovered

Subjects don’t respond

Subjects' responses were influenced

The sample is not random

4. We’re trying to determine a person’s salary using their age as a predictor. What is the dependent variable?

5. We’re trying to determine a person’s salary using their age as a predictor. What is the independent variable?

6. Imagine you've designed a survey. Which of the following questions will give you qualitative data?

What is your age?

What is your sex?

What is your pulse rate?

How many times do you visit a doctor in a year?

7. You are designing an experiment in which you play different types of music to see if it helps with memory. You have decided to try three different types of music (Hard rock, Classical, Pop), as well as no music at all. Subjects will read a story, and be given a short quiz afterwards. What is the explanatory variable?

Type of music

Quiz results

Hard rock

No music

Homework Answers

Answer #1

1. In order to determine that which flavour of coffee would be the selling the most in a coffee shop, we collect a random sample of the city's population in which the coffee shop is located. Instead of using only the customers sample, we can try to obtain a random sample from database of region and take a larger sample possible to deal with the bias.

2. The design is factorial design as there are 16 factors at 4 levels each.

3. A response bias occurs when subjects don't respond.

4. Dependent variable is person's salary as the salary depends upon the age.

5. Independent variable is the age.

6. The question - what is your sex will give me qualitative data as the answer would not be numeric.

7. Explanatory variable is the type of music as the quiz results depends on them.

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