Question

When working with paired data it is important to remember that your null and alternative are...

When working with paired data it is important to remember that your null and alternative are dependent on...

A) The direction of subtraction

B) The size of the samples

C)The number of populations

D) They are not dependent on anything

Homework Answers

Answer #1

When working with paired data it is important to remember that your null and alternative are dependent on...

A) The direction of subtraction

Explanation:

When working with paired data it is important to remember that your null and alternative are dependent on the direction of subtraction, because subtraction decides how to construct the alternative hypothesis. For example, suppose we want to test the hypothesis that there is an improvement in scores of students after launching new method. In this case, if we use before minus after, then we will get negative test statistic and if we use after minus before, then we will get positive test statistic value. So, we can do this any way depends on the hypotheses we stated for that type of test.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
What is the important safety consideration which is vital to remember when working with organic chemicals...
What is the important safety consideration which is vital to remember when working with organic chemicals (as contrasted with aqueous solutions)?
Calculate d and sd for the paired data given below. Assume the two samples are dependent...
Calculate d and sd for the paired data given below. Assume the two samples are dependent samples of paired data, and assume the population distribution of the paired differences are approximately normal. Don’t round. (1 point) Group A 18 23 24 19 17 22 18 16 20 Group B 24 23 23 19 20 21 23 19 23
We can setup null and alternative hypotheses for decision making. Remember in hypothesis testing the "equals"...
We can setup null and alternative hypotheses for decision making. Remember in hypothesis testing the "equals" part will be with the null hypothesis, so you can have less than or equal to, greater than or equal to, or just equal to when defining the null hypothesis. The alternative hypothesis will be, then, either greater than, less than, or not equal to in relation to the above null criteria. See below for how it looks symbolically for the three possible setups....
When should I use the Sign Test (single variable)? Remember that some tests, such as chi...
When should I use the Sign Test (single variable)? Remember that some tests, such as chi squared, can be used under various circumstances. The goal of the test changes based on the situation. Pay attention to the specific conditions noted in parenthesis to ensure you are picking the correct goal. A. Test to see if the frequency data from a population fit a discrete probability distribution. B. Compare categorical frequency data with an expected population proportion. No difference between observed...
Which of the following is critical to remember when setting up your array? a. columns used...
Which of the following is critical to remember when setting up your array? a. columns used for running totals need to be initialized at the value of zero b. use integer datatypes to store numbers c. columns that are dimensions should be initialized to the value of NULL. d. its best to limit the number of columns per array to 1/3 of the number of rows
Q1)When should I use the Shapiro-Wilk test? Remember that some tests, such as chi squared, can...
Q1)When should I use the Shapiro-Wilk test? Remember that some tests, such as chi squared, can be used under various circumstances. The goal of the test changes based on the situation. Pay attention to the specific conditions noted in parenthesis to ensure you are picking the correct goal. A. Compare two treatment groups when a normal distribution cannot be assumed. B. More than two treatment groups where a normal distribution can be assumed. C. Test to see if the frequency...
Formulate a research question and corresponding null and alternative hypothesis that you will test using linear...
Formulate a research question and corresponding null and alternative hypothesis that you will test using linear regression. a)State the null and alternative hypotheses. b)Specify your dependent variable: c)Specify your independent variables and grouping categories as appropriate: d)If you have nominal variables with more than two levels specify your dummy variables.
1. Which one of the following is among the things to remember when creating figures? a....
1. Which one of the following is among the things to remember when creating figures? a. Use a lot of text b. All graphs communicate several ideas c. Do not label anything – allow the reader to figure it out d. Maintain the scale of the graph 2. If you have a distribution of 50 scores, and you want 10 intervals, what should be the size of your class intervals? a. 50 b. 25 c. 10 d. 5
a) Provide a real life example scenario for a paired-samples t-test that includes sample data for...
a) Provide a real life example scenario for a paired-samples t-test that includes sample data for N = 4 in each condition. Do not only present the numbers; you need a reasonable example of something that could be tested with a paired-samples t-test. b) Explain why your example is appropriate for a paired-samples t-test. c) Conduct the paired-samples t-test (two-tailed test with an alpha of .05), showing your work for each step.
Share with your peers the null and alternative hypotheses for a decision that is relevant to...
Share with your peers the null and alternative hypotheses for a decision that is relevant to your personal or professional life (any example is fine). Remember in hypothesis testing the "equals" part corresponds to the null hypothesis, so you can have less than or equal to, greater than or equal to, or just equal to when defining the null hypothesis. The alternative hypothesis will then be either greater than, less than, or not equal to in relation to the above...