Chi-square test

Chi- Square Goodness of Fit Testing Assuming Equal Expected A handful of students loves numbers and selects a major in Finance, Statistics, or Marketing. While others prefer a major in Leadership or are undecided. Historically, the MBA program at Whatsamatta U has about 40% of their students electing Leadership as their major, 30% selecting Finance as a major, 20% choosing Marketing, and 10% are undecided. Conducting a Chi-Square Goodness of the Fit Test revealed that the class of 200 students does not fit the historical pattern when using a .05 significance level. Therefore, rejecting the null hypothesis. One must establish a comprehension of Chi-Square Testing. The Chi-Square Goodness of Fit Test are calculations done on categorical data.…

Figure 1. Chi Square Test for Niche lab conducted at Owings Mills North.Behaivors of several species of birds (Tufted titmouse, dark eyed junco, black-capped chickadee, northern cardinal, mourning dove, purple finch, house sparrow, and white breasted nuthatch) were observed at feeding station. The three possible behaviors are feeding at the feeder, feeding on the ground, or feeding in the tree. Assignment questions 1-4 Given the results of the chi square, the birds feeding behavior are…

of 13-35, which account for 21.6% of the total 97 in the sample. c. The mean level of the hour spent in the office during week 2 is 47.47 hours, with the standard deviation of 17.06. The distribution is slightly negative skew (-0.237), although in an acceptable range suggest that slightly more samples spend more hours in office than the average. The distribution’s value for kurtosis (-1.005) exceeds the acceptance level (value between 1.0 and -1.0.), implying it has a ‘Platykurtic’…

In the Chi-Square test table below, the “Asymp. Sig. (2-tailed)” determines the level of confidence. This particular level of confidence is less than 0.5, which means the difference is statistically significant. The null hypothesis is thus rejected. Chi-Square Tests Value df Asymp. Sig. (2-sided) Pearson Chi-Square 12.747a 6 .047 Likelihood Ratio 13.057 6 .042 Linear-by-Linear Association 5.178 1 .023 N of Valid Cases 742 Correlation and Regression with SPSS Pearson’s r value and…

The statistical test used in this experiment was a Chi-square test because it measures the goodness of fit. There were 370 trials performed in the overall experiment. The sample size in the experiment was 740. Each cricket whether it was labeled intruder or resident had an observed and expectant number times it should win. For the resident crickets, it was expected that the cricket would win 185 times in the experiment. The observed value was calculated to be 238 wins in the experiment as well.…

It is the sum of the difference between observed and expected data squared, then it is divided by the expected data in the possible categories. It required that numerical values are used and not percentages nor ratios. Also, it should not be calculated if the expected value in the categories are less than five. The observed values are the values we gather ourselves from the given information. The expected value is what it should be in order for us to accept our hypothesis. The p-value in a Chi…

one-way ANOVA, Chi-Square test of independence and descriptive statistics were applied. For ANOVA, in order to determine which groups caused the significant difference, Tamhane T2 test, one of the most common post hoc (multiple comparison) tests, was used. For the normal distribution of data, the skewness and kurtosis coefficients were examined. For the normality test skewness coefficient of a distribution taken in the range of -1.5 to +1.5 and the kurtosis coefficient of a distribution taken…

The chi square value is then compared to the p-value, which is a critical value gotten from a chart based on the degree of freedom and percent of error which this experiment used as 0.05. If the chi square value was greater than the critical value, the hypothesis would be rejected, meaning there was too much error and observed results were way off from the expected results. However, if the chi square value was less than or equal to the critical value, then the null hypothesis would not be…

critical value is a number that separates a region where the null hypothesis will not be rejected from a region where it will be rejected. It is achieved at a particular percentile range and is then determined using a chart, known as the distribution topic.” The equation below states the critical value at 5% significance level: C.95 =21.026 * The .95 is taken from 100%-5%=95% *The 12 is from the degrees of freedom Lastly, I found what conclusion could be drawn regarding the grades…

An excel spreadsheet was provided by the instructor to allow us to fill in information about the assigned dissertations; the following is information required to complete the excel spreadsheet: citation, advisor, advisor’s credentials, purpose, questions, hypothesis, independent and dependent variable(s), sample (n), sampling method, research type, statistical analysis, instrument utilized, reliability and validity, alternate explanation, limitation, future research and finally significance.…