Chi-Square is a statistical test that is utilized to make comparisons of observed data with data that the researcher expects to find with respect to a specified hypothesis. The test is used to determine whether the deviations in the data observed from the expected data have occurred just by chance or is caused by other factors (Brooks, 2008). The Chi-Square is usually employed to test the null hypothesis. For instance, it can be used to test whether there is no significant difference between the
expected wins between the resident cricket and intruder cricket was expected to be equal (50/50). The expected frequency was 50 percent and the chi-square test resulted in a p-value of .0015 which rejected the null hypothesis and accepted the alternative hypothesis. The degree of freedom was one. Discussion The calculated result from the chi-square test gave a p-value of .0015. The null hypothesis was rejected and the alternative hypothesis was accepted because the p-value was less than .05. The
conduct a Chi-Square test of Independence, there must be either two categorical or ordinal variables (Mirabella, 2011). In this case, to determine if there is a difference in majors chosen by men and women the test of Independence will be used because of the two categories which are male and female. Similar to the Goodness of Fit test, the Chi-Square test of Independence possesses the two variables for gender (Mirabella, 2011). Therefore, it is not uncommon that research involves the Chi-Square Independent
5.6 Chi – Square Test of attributes: General Test Procedure: In general, Null Hypothesis (H0) and Alternative Hypothesis (H1) in Chi-Square test of Attributes is given as follows: H0: Attribute A and Attribute B are independent. H1: Attribute A and Attribute B are not independent. α: Level of significance = 0.05 Test statistics : χ^2= (∑▒∑ (O_ij- E_ij )^2)/E_ij χ_cal^2= (∑▒∑ (Observed Percentage-Expected Percentage)^2)/(Expected Percentage) χ_cal^2 distribution with (m-1)(n-1) degrees
1. Using Stat Crunch, calculate the chi-square statistic and degrees of freedom for the following set of data for 300 people: Group A Group B Group C Total Had flu shot 20 30 32 82 Didn’t have flu shot 80 70 68 218 Total 100 100 100 300 Cell format Count (Percent with flu shot) (Percent of Group) (Percent of total) (Expected count) Got the Flu Shot? Group A Group B Group C Total Yes Percent with flu shot
contingency table. This was done to determine whether or not there exists a statistically significant relationship between the type of word and the type of letter that word begins with. Once the contingency table was created, JMP performed a Pearson chi-square test on the data. Results Figure 1. Histogram of lines starting with nouns, on 10 pages, in Edward Bloom's, Big Fish Figure 2. Histogram of lines starting with verbs, on 10 pages, in Edward Bloom's, Big Fish Figure 3. Histogram
Current Business Research Project Paper Synopsis Abstract This assignment was designed to address several subjects related to an article of the student's choosing. The subjects discussed in this synopsis answer the definition of the business research article reviewed, the article's research purpose, the business problem investigated, data collection methods used in the research, and the researchers' conclusions. The article chosen from the University of Phoenix library is entitled, "International
Type of tree « Height « Light intensity « Temperature Observations Preliminary method « On your tree, use a compass to find out which side of the tree is north. « Then place your grind against the tree trunk and count how many squares have growth on them. « Write your results down in a table and repeat for east, south and west. Preliminary results Tree number Site 1 North Site 1 East Site 1 South Site 1 West Site 2 North Site 2 East
INTRODUCTION Statement of problem People have opinions and thoughts about many issues relating to the work force. They wonder what is the best occupation to get in, how much money they can make in certain fields, who the best employers might be. Some of the big concerns people have when thinking about employment is benefits. What can a company provide to the potential employee in terms of insurance, vacations, advancement, and all the extras associated with the perks of certain companies? At the
The number of AIDS patients has been on the rise in Bangladesh at fast pace. The emergence of HIV would be a disaster that poverty-stricken Bangladesh could ill-afford. With the latest figure, the government recorded people living with HIV stood at 3242 since the first case was detected in 1989. However, UN estimates the number to be between 8,000 and 16,000, which means many are left undetected and untreated. There are many factors those are responsible for this large number of undetected and untreated
Introduction Creating an inclusive, diverse climate to support ethnic minority students is very important for their academic success in higher education. Especially for first year student, an engaging environment will create a sense of belonging greatly enhance the institutional commitment. Colleges and universities have launched a serious of programs to create a safe climate, for example, the Aggies to Aggies workshop in Texas A&M, the Asian American Awareness month in Georgia Tech, and the Diversity
understand, that was not tested in this experiment, was that reciprocal crosses cannot be treated as the same for Drosophila when the traits observed are sex-linked. In this case the traits we are observing are not sex-linked, so it does not matter with our test cross. It was also important to use only virgin females when conducting all crosses to ensure that the female has not stored any semen for use later in mating. Thi was necessary so that we saw proper distribution of traits according to parental phenotype
The Effect of Sodium Chloride Concentration in Growing Medium on the Growth and Total Germination of Cress Seeds Scenario There are a number of things that can influence how/if a plant grows and germinate. These include; · Amount and intensity of sunlight. · CO2 concentration of the air. · Temperature and humidity of the atmosphere. · PH of the water and soil. · Salt concentration of the soil and water. · Quality of the soil, i.e. Minerals and nutrients. · Use of
Chi-square (X2) for demographic variables and the Nagelkerke R squared (R2) for added hypothetical variables as a block to examine the relative contribution and relative strength of each factor, while both are measured by the Wald statistic and significance test and the partial correlation (R statistic) and the odds ratio. The chi-square the degrees of freedom and the -2 log likelihood and goodness-of-fit measures will
1. Introduction The process of verifying a person’s identity, also called authentication, plays an important role in various areas of everyday life. Any situation with user interaction where the identity is required needs a means to verify the claimed identity. One of the more obvious and commonly known application areas for identity verifying technologies, i.e. authentication, is the Logical Access Control to computer systems, where authenticity is normally established by confirming aclaimed identity
6.EE Diagnostic Test 1. (4 + 3)2 – 6 A. 43 B. 138 C. 19 D. 76 2. Evaluate. 34 = ______________ 3. Write in exponential form. 144 = _____ 4. Write an expression for the following. b. the product of 4 and y ___________________________________ 5. Andrew has $20 to purchase candy bars. If each candy bar cost $1.50, how many candy bars can Andrew purchase. With c representing the number of candy bars, write and evaluate the expression. 6. Evaluate the expression when given the value of the
(2-sided) Pearson Chi-Square 13.640a 12 .325 Likelihood Ratio 13.984 12 .303 Linear-by-Linear Association .003 1 .965 N of Valid Cases 50 Table 3: Chi-Square Tests-2 (age vs brand preference for suits) Since the significance value is greater than 0.05, we accept Ho and conclude that there is no relation between age and brand preference for suits Value df Asymp. Sig (2 sided) Pearson Chi-Square 2.788 8 .948 Likelihood
sequence of randomized numbers using linear equation but it still has some issues. We have done 9 different tests on our RNG and have come up with quantitative results. Some of the tests performed are single level test and some are two level tests. we would also like to tell that some of these tests are Diehard tests [http://en.wikipedia.org/wiki/Diehard_tests]. Single level test- It’s a 1st level test observes the p-value, where p is a measure of uniformity. If p-value is extremely close to 0 to 1 then
Trade Commission, 2017). In most cases, ads that make health or safety claims must be supported by competent and reliable scientific evidence (Federal Trade Commission, 2017). Tests, studies, or other scientific evidence that has been evaluated by people qualified to review it (Federal Trade Commission, 2017). In addition, any tests or studies must be conducted using methods that experts in the field accept as accurate (Federal Trade Commission,
assumptions of a parametric test, primarily the assumptions of having a scale dependent variable, were not met, and there are two nominal dependent variables (gender and conformity). For these reasons, the Chi-Square Test for independence was chosen for this research. The Chi-Square statistics are shown: X2(3, N = 60) = 10.543, p < 0.05. Reject the null hypotheses; it appears that conformity rates between males and females are influenced by gender. This means that the Chi-Square Test proves that gender does