Exercise 40: Chi-Square 1.Statistically significant values reported in the introduction were income, working status of adults, education, health status of adults and child, and utilization of healthcare. 2.No, because there is no symbol after the 3.70 value to show significance. 3.No, because there was no significant differences. 4.The introduction reported significance in 5 areas where null hypothesis were rejected, listed in question 1. 5.Education was a greater significant difference than marital status because the introduction listed education as having one of the greatest significant differences, but did not list marital status has have a significant difference. 6.Yes, working status was reported with a high significant difference with a significant symbol and notes reporting significance at >p=0.001. 7.The null hypothesis for gender-% female is: "Female gender does not have any significance on whether children have insurance or not." 8.The null hypothesis for gender-% female should be accepted because there was no significant difference to justify rejection. 9.No, it was not what was expected. The expectation was that children too often fall between the cracks of qualifying for Medicaid and the affordability of health insurance. Medicaid has maximum caps on the income levels times the number of family members. Sometimes the income of the family is only a few dollars above the maximum threshold on Medicaid that does not equal affordability of health insurance
So, we should reject the null hypothesis H0. At a 0.05 level of significance level, we conclude that there is a significant difference between the average height for females and the average height for the males.
b) “As adults, males are more likely to be homeless...twice as likely to be robbed or murdered, nine times more likely to be killed in an occupational accident.”
Results (what were the basic results of the study, how did the authors draw conclusions, how did they display their data, are their conclusions justified) (1pt)
Who listens to R&B music more females or males? We guessed that more females listened R&B music than males. After interviewing a group of males and females I was able to come up with the conclusion that more females listened to R&B music than most males. All of these participants were handpicked from a sociology class. These participants consisted of nine males and nine females. I choose to ask students who were either in band or those who listened to online radios on daily basis. Finally, I asked each participant how many R&B songs they listen to in one day. In the first paragraph, describe the statistical analyses you performed. The data that I gathered showed that females listened to more R&B songs in a day than males do. Chart 1 shows
An individual who considers conducting applied research must first formulate an appropriate hypothesis in an effort to obtain an answer to a question through data and other statistical means. Importantly, it is essential for the researcher conducting the desired study to provide pertinent evidence that illustrates a valid or an invalid point regarding the data results. Our selected research was to prove whether or not males, in fact, weighed more at birth in comparison to females at birth. Furthermore, the research problem in the case of female and male birth weight presents our hypothesis, regarding greater birth weight, which is men on average weigh more at birth than women with an alternative hypothesis that the null hypothesis will be false.
3) A t-value of -1.99, which was the calculated statistic for the Health Functioning measure in this study and corresponds to a study-bound p-value of 0.049, does not indicate a significant difference in these populations. Though the p-value is slightly lower than the study-wide alpha value of 0.05, the division of this value amongst the 15 measures according to the Bonerroni principle that works to reduce Type I errors means each test-specific alpha value is 0.0033. 0.049 > 0.0033, therefore the difference for this
With any research, there has to be a hypothesis of the outcomes expected. Ruscio, Whitney, and Amabile questioned
Test Analysis: Chi-square analysis was done using TI-84plus to identify the association of gender and preference of color. The claim that the color chosen is dependent of the gender is tested at ∝=0.05.
According to the "Introduction," what categories were reported to be statistically significant? The introduction reported that the statistically significant categories were income, health status of adults and children, working status of adults, education, and the utilization of health care.
This work applies the null and alternate hypothesis format. The null statements stand for no significant relationship, whereas alternately expressed as significant relationship. Hypothesis for this research as follows:
The definition gives several clues to choosing a null hypothesis. I try to summarize the rules of choosing a null hypothesis as the three following
2Ci) In the cross tabulation there seems to be a statistical association between the variables. In the “all or almost all of the time” category the percentage for male and female are almost comparable as it’s 2.2% for male and 2.6% female. In
However, since the graphs do not compare the genders within the total sample surveyed and are only a percentage of each specific gender, more
function in directly related to their individual status and identity. Household size ranges from 4
Whatsamattu U. took a sample of 200 MBA students and conducted a hypothesis test for two independent samples to determine if the mean GPA differs for men and women. Hypothesis test can be done on virtually any population measurement and the most common are about means and proportions (Mirabella, 2011). They used a .05 significance level. According to Mirabella (2011), in hypothesis testing there is