Question

Describe an experiment that would require use of one of the three different t-tests (One Sample, Correlated Samples, or Independent Groups), but don’t tell us which statistic you think should be used. Then go into the discussion and look at another student's t-test experiment, and tell us which of the three t-test statistics would be appropriate to analyze his data.

Answer #1

Ans:

**One Sample t -
test:**

Testing of significace :

Null Hypothesis (H0): There is no significant difference between the population mean and sample

10 individuals are chosen at random from a population and the heights are found to be in inches: 63, 63,66,67,68,69,70,70,71 and 71. Test whether the mean height in the population is 66 inches or not at 5% level of significance. For this problem we have to use one sample 't' test.

**Independent
Samples:**

Testing of Significance:

H0: There is no significant difference between two population means.

For a random sample of 10 pigs fed on Diet A, the increase in weight in pounds in a certain period are 10, 6, 16, 17,13, 12, 14, 15, 9 Lbs. For another sample of 12 pigs fed on diet B, the increase in the same period were 7, 13, 22,15,12, 14,18,8,21,23,10,17 Lbs.

Test whether diets A and B differ significantly as regards the effect on increase in wieght is concerned.

**Correlated
Samples:**

Generally, two samples are independent, but in this case, the two sample are not independent and 1st sample size and 2nd sample size must be equal.

Ex: Memory capacity of 9 students was tested before and after training. Test at 5% level of significance whetehr the training was effective from the following scores:

Student: 1 2 3 4 5 6 7 8 9

Before: 10 15 9 3 7 12 16 17 4

After : 12 17 8 5 6 11 18 20 3

In this example, the samples (Students) are not independent when tested before and after training. In this case, For we have to use Paired t-test for test of significance.

1) A researcher is running an experiment on the effectiveness of
three different energy drinks. She randomly selects 60 individuals
from the population and evenly splits them into three groups, each
of which consumes a different energy drink.
a. The null hypothesis for this test is that at least one of the
three groups will be different. True or False?
The statistical results of the test are as follows: F(2, 47) =
6.24, p < .05.
b. In the above...

SPSS Portion
Here you analyze T tests in SPSS, and interpret
output.
Part I Independent Sample (8 points) (part 2 is below)
There is research being conducted on chow for small dogs. Below
are the comparison between weights (wt) of a group of dogs with
normal food and with the special food. Group 1 is the group that
had the Normal Diet, and Group 2 is the group that had the Special
Diet.
Wt Group
4 1
6 1
5...

Topic 10 Discussion forum
For this week, I would like you to come up with one hypothesis
that would require the use of a one-sample t-test, one hypothesis
that would require a Related-samples t-test, and one hypothesis
that would require an Independent samples t-test

Design an experiment situation that would use a one-way
independent ANOVA for the analysis. You don’t need to go all out,
but provide enough information about your design to make it clear
that an ANOVA is a good analysis
Do the same thing as above but for a t-test
instead

Which of the following statistical tests should be used for
males vs females data?
one-way ANOVA
chi-square test
t statistic for independent samples
t statistic for dependent samples

For the following experiment/question, pick the most appropriate
statistical test. You have the following statistical tests as
choices: some may be used more than once, others not at
all. Assume homogeneity of variance (where
applicable) and the validity of parametric tests (where
applicable), unless something is directly stated (e.g., “the data
are not at all normal”) or otherwise indicated (viz., by the
inspection of the data) which would indicate a strong and obvious
violation of an assumption. This means you must...

For the following experiment/question, pick the most appropriate
statistical test. You have the following statistical tests as
choices: some may be used more than once, others not at
all. Assume homogeneity of variance (where
applicable) and the validity of parametric tests (where
applicable), unless something is directly stated (e.g., “the data
are not at all normal”) or otherwise indicated (viz., by the
inspection of the data) which would indicate a strong and obvious
violation of an assumption. This means you must...

For the following experiment/question, pick the most appropriate
statistical test. You have the following statistical tests as
choices: some may be used more than once, others not at
all. Assume homogeneity of variance (where
applicable) and the validity of parametric tests (where
applicable), unless something is directly stated (e.g., “the data
are not at all normal”) or otherwise indicated (viz., by the
inspection of the data) which would indicate a strong and obvious
violation of an assumption. This means you must...

For the following experiment/question, pick the most appropriate
statistical test. You have the following statistical tests as
choices: some may be used more than once, others not at all. Assume
homogeneity of variance (where applicable) and the validity of
parametric tests (where applicable), unless something is directly
stated (e.g., “the data are not at all normal”) or otherwise
indicated (viz., by the inspection of the data) which would
indicate a strong and obvious violation of an assumption. This
means you...

ADVERTISEMENT

Get Answers For Free

Most questions answered within 1 hours.

ADVERTISEMENT

asked 1 minute ago

asked 3 minutes ago

asked 22 minutes ago

asked 34 minutes ago

asked 55 minutes ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 2 hours ago