If all your replications in each treatment are identical, a one-way ANOVA may not be appropriate. This is because ANOVA is designed to assess the variance among different groups; with no variance within groups (i.e., all replications being the same), the test would not be able to detect any differences between treatments. You might consider using a different statistical approach, such as a t-test or a non-parametric test, depending on your specific research question and design.
That will result in "replications" of the experiment.
The F-test is designed to test if two population variances are equal. It compares the ratio of two variances. If the variances are equal, the ratio of the variances will be 1.The F-test provides the basis for ANOVA which can compare two or more groups.One-way (or one-factor) ANOVA: Tests the hypothesis that means from two or more samples are equal.Two-way (or two-factor) ANOVA: Simultaneously tests the hypothesis that the means of two variables from two or more groups are equal.
same as one way anova population variance equal among groups noramlly distributed independent samples
What is the probability of a type I error? What does this mean?How would you use this same information but set it up in a way that allows you to conduct a t-test? An ANOVA?
To compare two or more concentrations, you need to ensure that the measurements are taken under the same conditions, such as temperature and volume. It's important to use the same units for concentration, like molarity (M) or mass percent, for consistency. Additionally, you may want to perform statistical analyses, such as t-tests or ANOVA, to determine if the differences between the concentrations are statistically significant. Lastly, graphical representations, such as bar charts, can help visualize the differences clearly.
The null hypothesis for a 1-way ANOVA is that the means of each subset of data are the same.
That will result in "replications" of the experiment.
a
The F-test is designed to test if two population variances are equal. It compares the ratio of two variances. If the variances are equal, the ratio of the variances will be 1.The F-test provides the basis for ANOVA which can compare two or more groups.One-way (or one-factor) ANOVA: Tests the hypothesis that means from two or more samples are equal.Two-way (or two-factor) ANOVA: Simultaneously tests the hypothesis that the means of two variables from two or more groups are equal.
same as one way anova population variance equal among groups noramlly distributed independent samples
not all of them
What is the probability of a type I error? What does this mean?How would you use this same information but set it up in a way that allows you to conduct a t-test? An ANOVA?
The Coolaroo window treatments for wide windows do provide the same level of protection against the sun that their other, smaller products do.
The company tha manufactures zerona claims that 6 treatments are necessary for optimum results, while the first results will probably be visible after 4 treatments! Several zerona reviews report the same! So i wouldn't suggest that you go for only 3 treatments!
because the chemicals in it are the same as in most period pain treatments
Kitchen window treatments need to be made of materials that are able to be washed by hand or in the machine or can be wiped clean. Normal window treatments often need the same sort of regime though so many of the options available can do in kitchens or elsewhere in the house.
Going to see the doctor is the number one choice, they can offer you different prescriptions to various treatments, the same goes for employees at a local drug store.