Stanley Yeung
Results and Discussion
Biology Lab 017
04/02/12
Marigold Lab
The Purpose of this was to analyze how the Marigold plants grew under certain conditions. The Objective was to determine the amount of growth these plants went through by measuring the changes in the selected variables. The Variables that we selected were stem length, root length, the amount of leaves that grew on a plant and the overall size of the plant measured in height. For this experiment, we had three test groups, the first two groups had five seeds and the third group has 10 seeds. The reason for that is because we introduce the third group to interspecific competition. We wanted to find out if variables such as competition will have an effect on the plants development. We hypothesized that the group with the most seeds will see the least development and growth due to competition. We calculated out results and they are as follows. The TCritial is constant at 2.23. The growth of the leaves was higher in the low density group as opposed to the high density group. The T-Stat is 5.17 for the stems 1.87 for the height, .285 for the leaves and .11 for the roots. Both the low and the high density variables share the same T-Stat. This simply means that the plant group with the least amount of competition has a higher chance at achieving reproductive success. Some of the plants in the third group with 10 seedlings did not even grow. With that said, we reject the null hypothesis and accept the alternative because some of the plants in the pot with the larger amount of seeds did not even start to grow. All of the plants in the groups with 5 seeds at least grew. This indicates that dependent variables such as competition and the environment itself has an influence on how a plant grows and develops. If the T-Stat>T-Critical, then we reject the null hypothesis and choose the alternative. The only one we actually accept the null hypothesis are the Leaves and the Roots...

...Chapter-11
Testing of Hypothesis:
(Non-parametric Tests)
Chapter-11: Testing of Hypothesis - (Non-parametric Tests)
2
11.1. Chi - square ( χ )Test / Distribution
2
11.1.1. Meaning of Chi - square ( χ )Test
2
11.1.2. Characteristics of Chi - square ( χ )Test
2
11.2. Types of Chi - square ( χ )Test / Distribution
2
11.2.1. Chi - square ( χ )Test for Population Variance
2
11.2.2. Chi - square ( χ )Test for Goodness-of-Fit
2
11.2.3. Chi -...

...
The word ‘Hypothesis is derived from a Greek word, which means ‘to suppose’. It is usually considered as the principal instrument in research. For a researcher it is a formal question that he or she intends to resolve. In this way a hypothesis may be defined as a proposition or a supposition. The main function of hypothesis is to guide the collection and processing of materials and direct the research....

...CHAPTER
7
THE TWO-VARIABLE REGRESSION MODEL:
HYPOTHESIS TESTING
QUESTIONS
7.1. (a) In the regression context, the method of least squares estimates the regression parameters in such a way that the sum of the squared difference between the actual Y values (i.e., the values of the dependent variable) and the estimated Y values is as small as possible.
(b) The estimators of the regression parameters obtained by...

...APP6JMaloney problems 2. 4, 6, 10, 18, 22, 24
2 ) The value of the z score un a hypothesis test is influenced by a variety of factors.
Assuming that all the other variables are held constant, explain how the value
of Z is influenced by each of the following?
Z= M - u / SD
a) Increasing the difference between the sample mean and the original.
The z score represents the distance of each X or score from the mean.
If the distance between the sample...

...“Accept” the Null Hypothesis
by Keith M. Bower, M.S. and James A. Colton, M.S.
Reprinted with permission from the American Society for Quality
When performing statistical hypothesis tests such as a one-sample t-test or the AndersonDarling test for normality, an investigator will either reject or fail to reject the null
hypothesis, based upon sampled data. Frequently, results in Six Sigma projects contain
the verbiage “accept the null...

...step 2: The hypothesis
Answer the following questions:
* What is a hypothesis?
* How is a hypothesis different from a theory in science?
* Describe an example of how you may use the scientific method in your daily life and state a good hypothesis for that example.
* Which hypothesis did you first pick in the "Recognizing a good hypothesis" activity in the scientific method tutorial? Why?...

...methods (52)
Null Hypothesis
The null hypothesis, is an essential part of any research design, and is always tested, even indirectly. The 'null' often refers to the common view of something, and so the null hypothesis (H0) is a hypothesis in which the researcher tries to disprove, reject or nullify.
Examples of the Null Hypothesis
A researcher may postulate a hypothesis:
H1: Tomato plants exhibit a higher...

...Real Estate Sample Hypothesis Testing
The question or issue that the buyer wants to address is that property closer to town is more expensive so buyers that purchase property further from the center of town get a more affordable home. The research is necessary so that the buyer will remain within the budget that they have set for themselves. Although the cost of the home is very important, it is also important to factor in other expenditures such as upkeep, repairs and any...

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