Homework Answers
In the z test and t-test, the basic assumptions are the same that is for both test populations should be normal and observations are independent. the only difference is that in t-test we do not know about population variance and the sample size is small. If this situation is true we should use the t-test. Now if the sample is small but the population variance is small we can use z-test and for large sample whether the population variance is known or unknown we should use z-test.
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2. “The z-test is an idealized t-test.” (Johnson, January 24, 2020). Although this is something of...
Important instructions: For all situations requiring a hypothesis test (z test, one-sample t test, one-sample variance...
Important instructions: For all situations requiring a hypothesis test (z test, one-sample t test, one-sample variance test or two-sample t test), you must 1. Choose the appropriate test based on the information you are given 2. State null and alternative hypotheses 3. Choose a one or two tailed test and explain why you chose that test 4. Calculate the appropriate test statistic, showing all work neatly. This includes calculations of means, standard deviations, etc. 5. Draw the appropriate conclusions (i.e.,...
Important instructions: For all situations requiring a hypothesis test (z test, one-sample t test, one-sample variance...
Important instructions: For all situations requiring a hypothesis test (z test, one-sample t test, one-sample variance test or two-sample t test), you must 1. Choose the appropriate test based on the information you are given 2. State null and alternative hypotheses 3. Choose a one or two tailed test and explain why you chose that test 4. Calculate the appropriate test statistic, showing all work neatly. This includes calculations of means, standard deviations, etc. 5. Draw the appropriate conclusions (i.e.,...
Important instructions: For all situations requiring a hypothesis test (z test, one-sample t test, one-sample vari...
Important instructions: For all situations requiring a hypothesis test (z test, one-sample t test, one-sample variance test or two-sample t test), you must 1. Choose the appropriate test based on the information you are given 2. State null and alternative hypotheses 3. Choose a one or two tailed test and explain why you chose that test 4. Calculate the appropriate test statistic, showing all work neatly. This includes calculations of means, standard deviations, etc. 5. Draw the appropriate conclusions (i.e.,...
Important instructions: For all situations requiring a hypothesis test (z test, one-sample t test, one-sample vari...
Important instructions: For all situations requiring a hypothesis test (z test, one-sample t test, one-sample variance test or two-sample t test), you must 1. Choose the appropriate test based on the information you are given 2. State null and alternative hypotheses 3. Choose a one or two tailed test and explain why you chose that test 4. Calculate the appropriate test statistic, showing all work neatly. This includes calculations of means, standard deviations, etc. 5. Draw the appropriate conclusions (i.e.,...
Which Test those cases should use? A: one sample z-test B: one-sample t-test C: t-test for the...
Which Test those cases should use? A: one sample z-test B: one-sample t-test C: t-test for the difference between means for two related samples D: t-test for the difference between means for two independent samples with homogeneity of variance E: t-test for the difference between means for two independent samples with heterogeneity of variance F: a one sample z-test for proportions (or a chi-square goodness of fit) G: chi-square goodness of fit only (where a one sample z-test of proportions isn’t appropriate) H: a two-sample z-test...
1 and 2 please 1. Explain why you would conduct a t test rather than a...
1 and 2 please
1. Explain why you would conduct a t test rather than a z test. In other words, what is the difference between a one sample t test and a one sample z test? 2. Because of what is discussed in question 1, some of the components of calculating at value are different from the components of a z value. Specifically, the t value utilizes degrees of freedom. Explain what degrees of freedom means (you can include...
Important instructions: For all situations requiring a hypothesis test (z test, one-sample t test, one-sample variance...
Important instructions: For all situations requiring a hypothesis test (z test, one-sample t test, one-sample variance test or two-sample t test), you must 1. Choose the appropriate test based on the information you are given 2. State null and alternative hypotheses 3. Choose a one or two tailed test and explain why you chose that test 4. Calculate the appropriate test statistic, showing all work neatly. This includes calculations of means, standard deviations, etc. 5. Draw the appropriate conclusions (i.e.,...
Although we have not emphasized it, the paired t-test can be used to test hypotheses in...
Although we have not emphasized it, the paired t-test can be used to test hypotheses in which the null value is something other than 0. For example, suppose that the proponents of a diet plan claim that the mean amount of weight lost in the first three weeks of following the plan is 11 pounds. A consumer advocacy group is skeptical and measures the beginning and ending weights for a random sample of 20 people who follow the plan for...
There are two sections of statistics, one in the morning (AM) with 24 students and one...
There are two sections of statistics, one in the morning (AM)
with 24 students and one in the afternoon (PM) with 27 students.
Each section takes an identical test. The PM section, on average,
scored higher than the AM section. The results are summarized in
the table below.
Necessary information:
n
x
s2
s
PM (x1)
27
80.8
277.5
16.66
AM (x2)
24
70.9
250.3
15.82
The Test: Test the claim that the PM section did
significantly better than the...
1. When do we use an independent groups t-test? a. b. c. d. When we are...
1. When do we use an independent groups t-test? a. b. c. d. When we are comparing means from one sample that has been measured twice. When we are comparing means from two different samples. When we are comparing a sample mean to a population mean. When we are comparing two population means. 2. Which of the following is true regarding the use of t-tests for true experiments versus quasi-experimental designs? a. b. We use the same t-test whether it...
Important instructions: For all situations requiring a hypothesis test (z test, one-sample t test, one-sample variance test or two-sample t test), you must 1. Choose the appropriate test based on the information you are given 2. State null and alternative hypotheses 3. Choose a one or two tailed test and explain why you chose that test 4. Calculate the appropriate test statistic, showing all work neatly. This includes calculations of means, standard deviations, etc. 5. Draw the appropriate conclusions (i.e.,...
Important instructions: For all situations requiring a hypothesis test (z test, one-sample t test, one-sample variance test or two-sample t test), you must 1. Choose the appropriate test based on the information you are given 2. State null and alternative hypotheses 3. Choose a one or two tailed test and explain why you chose that test 4. Calculate the appropriate test statistic, showing all work neatly. This includes calculations of means, standard deviations, etc. 5. Draw the appropriate conclusions (i.e.,...
Important instructions: For all situations requiring a hypothesis test (z test, one-sample t test, one-sample variance test or two-sample t test), you must 1. Choose the appropriate test based on the information you are given 2. State null and alternative hypotheses 3. Choose a one or two tailed test and explain why you chose that test 4. Calculate the appropriate test statistic, showing all work neatly. This includes calculations of means, standard deviations, etc. 5. Draw the appropriate conclusions (i.e.,...
Important instructions: For all situations requiring a hypothesis test (z test, one-sample t test, one-sample variance test or two-sample t test), you must 1. Choose the appropriate test based on the information you are given 2. State null and alternative hypotheses 3. Choose a one or two tailed test and explain why you chose that test 4. Calculate the appropriate test statistic, showing all work neatly. This includes calculations of means, standard deviations, etc. 5. Draw the appropriate conclusions (i.e.,...
1 and 2 please
1. Explain why you would conduct a t test rather than a z test. In other words, what is the difference between a one sample t test and a one sample z test? 2. Because of what is discussed in question 1, some of the components of calculating at value are different from the components of a z value. Specifically, the t value utilizes degrees of freedom. Explain what degrees of freedom means (you can include...
Important instructions: For all situations requiring a hypothesis test (z test, one-sample t test, one-sample variance test or two-sample t test), you must 1. Choose the appropriate test based on the information you are given 2. State null and alternative hypotheses 3. Choose a one or two tailed test and explain why you chose that test 4. Calculate the appropriate test statistic, showing all work neatly. This includes calculations of means, standard deviations, etc. 5. Draw the appropriate conclusions (i.e.,...
Although we have not emphasized it, the paired t-test can be used to test hypotheses in which the null value is something other than 0. For example, suppose that the proponents of a diet plan claim that the mean amount of weight lost in the first three weeks of following the plan is 11 pounds. A consumer advocacy group is skeptical and measures the beginning and ending weights for a random sample of 20 people who follow the plan for...
There are two sections of statistics, one in the morning (AM)
with 24 students and one in the afternoon (PM) with 27 students.
Each section takes an identical test. The PM section, on average,
scored higher than the AM section. The results are summarized in
the table below.
Necessary information:
n
x
s2
s
PM (x1)
27
80.8
277.5
16.66
AM (x2)
24
70.9
250.3
15.82
The Test: Test the claim that the PM section did
significantly better than the...
1. When do we use an independent groups t-test? a. b. c. d. When we are comparing means from one sample that has been measured twice. When we are comparing means from two different samples. When we are comparing a sample mean to a population mean. When we are comparing two population means. 2. Which of the following is true regarding the use of t-tests for true experiments versus quasi-experimental designs? a. b. We use the same t-test whether it...
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