You are a therapist that has developeda new app to help people treat their anxiety. You would like to compare the outcomes of people that use the app to those that receive therapy services. You recruit 50 participants that identify as having problems with anxiety and you randomly assign each person to either use the app for 1 month or come in for therapy for 1 month. At the end, you give everyone an anxiety measure so that you can compare the difference between the two groups. Which statistical test would be best to detemině if there is atsignificant difference in anxiety between the two groups following an intervention? O one-sample t-test O related Samples t-test O independent samples t-test O ANOVA

Find a real-life example of the use of ANOVA (Make sure to cite the source). Explain how and why they used ANOVA.

I need to the right answer for this please.

One personality test available on the World Wide Web has a subsection designed to assess the "honesty" of the test-taker. After taking the test and seeing your score for this subsection, you're interested in the mean score,  μ , among the general population on this subsection. The website reports that  μ  is  148 , but you believe that  μ  is greater than  148 . You decide to do a statistical test. You choose a random sample of people and have them take the personality test. You find that their mean score on the subsection is  152  and that the standard deviation of their scores is  28 . Based on this information, answer the questions below. What are the null hypothesis ( H0 ) and the alternative hypothesis ( H1 ) that should be used for the test? H0 :  μ  is   H1 :  μ  is  In the context of this test, what is a Type I error?A Type I error is  the hypothesis that  μ  is   when, in fact,  μ  is  .Suppose that you decide not to…

Warren wants to know if the amount of coffee that you drink is related to the number of hours that you stay awake. He recruits 50 participants using random sampling to report how much coffee they drank and the time of the day that they went to sleep. He then performs a correlation to determine the association between the amount of coffee that was consumed and the number of hours that they stayed awake. There was a statistically significant positive correlation between amount of coffee that participants drank and the number of hours that they stayed awake, r(49) = .82, p < .05, two-tailed, r2 = .08. This was a small effect – 8% of the variance in the amount of coffee drank is explained by hours that you stay awake (and vice versa).

What are the applications of Biostatistics, Give at least two examples of your own relevant to pharmacy and clinical health science. And also Define the Sample and population, give at least two examples of your own.

One personality test available on the World Wide Web has a subsection designed to assess the "honesty" of the test-taker. You are interested in the mean score, μ , among the general population on this subsection. The website reports that μ is 145, but you have good reason to believe that μ is less than 145. You decide to do a statistical test. You choose a random sample of people and have them take the personality test. You find that their mean score on the subsection is 139 and that the standard deviation of their scores is 28. Based on this information, complete the parts below. (a) What are the null hypothesis H0 and the alternative hypothesis H1that should be used for the test? H0: H1: (b) Suppose that you decide to reject the null hypothesis. What sort of error might you be making?   ▼(Choose one)   (c) Suppose the true mean score among the general population on the subsection is 136. Fill in the blanks to describe a Type II error. A Type II error…

Please answer all of the question in the pictures, Please. THank you.

You are hanging out with your friend on a Saturday night and they decide they want to watch the Ultimate Fighting Championship Event happening that night. As you are watching the mixed martial arts fights you notice that males and females fight separately. You talk to your friend about this and find out that it is due to "safety and sizing" that the sexes do not fight each other. You (being a statistics enthusiast) decide to compare skills between the sexes to see if there is a true difference between the fighters' ability. You take the top 10 male fighters and the top 10 female fighters win/loss ratios (yes these I actually looked up): Male Fighters Female Fighters 19 7.3 23 2.8 21 4.2 2.8 10.5 2.4 2.8 3.2 15 4 5.3 3.9 26 3.8 4 5 3.8

Imagine you work for a psychological testing agenccy and you have been assigned the role of analyzing the data. The experiment involves testing 4 different drugs in treating 20 asthma patients. They were each asked to take the 4 different drugs in 4 different weeks and record how many attacks they had while taking each drug per week.   Explain one challenge you may experience with this experiment?