Sample size

population for this study was selected for under the conditions that the doctor writes at least 1,000 prescriptions in Medicare Part D under the premise that brand-name drug use would have a major effect on Medicare as a payer this leads to a large sample size as Medicare takes care of 39 million people in the country. However, there contentions against these sampling conditions, in the article Dr. David W. Parke II state that payments from pharmaceutical companies do not always directly…

To determine if mood state changed from pretest to posttest a paired samples t-test was calculated on mood state. Mood state changed from pretest (M=27.7, SD=5.8), to posttest (M=30.1, SD=4.8), t (43) = -4.8, p = 0.00. To test the hypothesis that HAI increases mood, a one way ANOVA was calculated. As displayed in table 1, the effects of conditions had no significant difference on mood in people, F (2, 42) = 1.5, p = 0.23. To test the effect of species, a 2 (species) x 3 (condition) factorial…

As sample size decreases, so does confidence in the estimate and accuracy of findings. The small sample size (n=60) meant that a number of categories has cell totals of less than five but also more than two levels. Thus neither the planned Chi Square nor the secondary Fisher’s exact tests could be conducted for items with these characteristics. Additionally, the method of recruiting participants (through the researchers’ networks and through the university) meant that the sample may have been…

There have been studies on these types of factors contributing to anorexia, but there has not been many with whom have any empirical evidence. As with the GWAS the sample sizes have been too small, and so replication has not happened. So for now these two factors are not risk factors for anorexia, but future studies with larger sample sizes will hopefully be done to show replication (Culpert et al., 2015). All this to say that these potential factors should not be ruled out. As we have seen…

0.4 is 0.31 or 31% of the overall visual spread ((4.1-3.7)/(4.5-3.2)=0.31), is significant considering the sample size of 491. Thus, implying that the median for males to match/equal the median females, the male inter quartile range (IQR) should move 31% of the overall visual spread. From this we can make the decision that back in the population of females and males, based on this sample size, females are more agreeable than males. The standard deviation…

Firstly, our study was limited to a very small sample size, which could have affected the variety of results. A larger sample would have allowed for more attractiveness ratings, which may have helped find significant results. Additionally, our subjects were derived based on voluntary participation, which immensely impacted the spread of…

Therefore, the primary focus of this study is to gather data from a diverse sample of individuals to determine if there is a direct correlation between hyper-reliance on MMC and verbal communication apprehension. The secondary objective is to determine if hyper-reliance on machine mediated communication has devalued verbal communication…

However it should be noted that the variable for internal efficacy is skewed heavily to the lower end, and additional categories had sample sizes that were quite small. Thus far, there does not seem to be any statistical support for either hypotheses. Multivariate…

by low statistical power. As stated above, a power analysis was unable to be conducted for this study. Grove, Burns & Gray (2016) state: Low statistical power increases the probability of concluding that there is no significant difference between samples when actually there is a difference (Type II error, failing to reject a false null) (see Chapter 8 for discussion of the null hypothesis) (Groove and Cipher,…

college. However some where divided on the impact it would have on enlistment as wether it would increase due to patriotistic sentiment or decrease with them rise in probability of actual engagement. An unidentified polling organization arranged to a sample to see this change. From 5 cities in Upstate New York a random high school was collected. Then the guidance counselor of the high schools randomly selected 100 students. The purpose is evaluate the proportion of college bound seniors…