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![3. I want to assess whether or not a new drug meant to help with depression
symptoms actually helps those with depression. I recruited 10 subjects with
depression and measured the number of symptoms they have (baseline). I then give
them the new drug and measure the number of depressive symptoms they have two
weeks later (post). I want to test the hypothesis that receiving the new drug will
decrease depressive symptoms. At an alpha of 0.05, please test this hypothesis.
a. What is the null hypothesis?
b. What is the alternative hypothesis?
c. Using baseline - drug, compute difference values for this questions' data:
Baseline (# symptoms)
Drug (# symptoms)
Difference values
5
3
4
2
1
5
3
3
2
2
2
1
1
7
6
7
4
d. What is the mean of the difference values?
e. What is the standard deviation of the difference values?
f. What is the standard error of the difference values?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa36e9aa0-d49c-49ec-9d31-4101aae9fc17%2Fa8288978-09b8-4bfe-b30d-0800e4d06547%2Fttgjh56_processed.jpeg&w=3840&q=75)
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- A well-known psychologist has established what she calls her Generalized Anxiety (GA) scale. The GA scale, which is a scale from 0 to 10, measures the "general anxiety" of an individual, with higher GA scores corresponding to more anxiety. We'd like to make predictions about individuals' sleep behavior based on their GA scores. We've collected bivariate data that give the GA score (denoted by x) and the number of hours of sleep last night (denoted by y) for each of the 11 adults participating in a study. The least-squares regression equation for our data is y = 8.92-0.25x. We have used this equation to predict tonight's sleep time for a woman whose GA score is 6.2. We're now interested in both a prediction interval for her sleep time and a confidence interval for the mean sleep time of individuals with her GA score. We have computed the following for our data. • mean square error (MSE)≈ 0.601 (6.2-x)² ● 11 + 11 2 Σ (x₁ - x)² i=1 ≈ 0.1110, where x₁, x2, Lower limit: X11 Based on this…A researcher would like to examine how the chemical tryptophan, contained in foods such as turkey, can affect mental alertness. A sample of n = 9 college students is obtained and each student’s performance on a familiar video game is measured before and after eating a traditional Thanksgiving dinner including roast turkey. The average score dropped by 14 points after the meal with SS = 1152 for the difference scores. Which statistical test would you use to determine if there is a significant difference in mental alertness (as measured by video game performance) before eating tryptophan versus after eating tryptophan?I want to assess whether or not a new drug meant to help with depression symptoms actually helps those with depression. I recruited 10 subjects with depression and measured the number of symptoms they have (baseline). I then give them the new drug and measure the number of depressive symptoms they have two weeks later (post). I want to test the hypothesis that receiving the new drug will decrease depressive symptoms. At an alpha of 0.05, please test this hypothesis. What is the null hypothesis? What is the alternative hypothesis? Using baseline - drug, compute difference values for this questions’ data: Baseline (# symptoms) Drug (# symptoms) Difference values 5 3 2 4 2 2 2 2 0 1 0 1 5 3 2 3 2 1 2 2 0 1 1 0 7 6 1 7 4 3 What is the mean of the difference values? What is the standard deviation of the difference values? What is the standard error of the…
- A large research project showed that in a sample of 750 adults, 60 of them experienced a midlife crisis . Use this data to test the claim that the percentage of adults who experienced midlife crisis is less than 10%. Use (alpha)= 0.05 .A researcher would like to examine how the chemical tryptophan, contained in foods such as turkey, can affect mental alertness. A sample of n = 9 college students is obtained and each student's performance on a familiar video game is measured before and after eating a traditional Thanksgiving dinner including roast turkey. The average score dropped by M = 14 points after the meal with SS = 1152 for the difference scores. What statistical procedure would you use to analyze this data and why?Earlier in this chapter we described a study by Bartholow and Anderson (2002) examining how the experience of violence in video games influenced aggressive behavior for males and females. Their results suggest that increased violence increase aggressive behavior for males but has little or no effect for females. The following data are measures of aggressive behavior similar to the results obtained in the study. Use an ANOVA with α=.05 to evaluate the data. Describe the effect of the violent game compared with a nonviolent game on the aggressive behavior for males and for females. Calculate the effect size (η2) for each main effect and for the interaction.
- The DASS-21 questionnaire is a validated measure of depression, anxiety, and stress. For the general population, the mean for anxiety is µ = 4.2. Anxiety levels are calculated based on self-reported answers to questions on a scale from 0 through 42, with lower scores indicating lower anxiety. Participants with gastrointestinal issues (specifically inflammatory bowel disease, IBD) completed the DASS-21. Use the data presented below to determine whether having gastrointestinal issues like IBD significantly increases risk for anxiety. Test whether or not the performance of this sample is significantly higher than the normal population using the proper t-test. Here are the data: Anxiety scores: 12, 15, 10, 8, 10, 5, 10, 13, 4, 6 ANALYSES AND UNGRADED OPTIONAL GUIDING QUESTIONS: 1a. Identify the Indep.Variable:__ Dep.Variable:__ Is it the Hypothesis one-tailed or two-tailed?__ Proper t-test statistic:__ Why? _ State Hypotheses mathematically: H0:__ H1:__ State…The DASS-21 questionnaire is a validated measure of depression, anxiety, and stress. For the general population, the mean for anxiety is µ = 4.2. Anxiety levels are calculated based on self-reported answers to questions on a scale from 0 through 42, with lower scores indicating lower anxiety. Participants with gastrointestinal issues (specifically inflammatory bowel disease, IBD) completed the DASS-21. Use the data presented below to determine whether having gastrointestinal issues like IBD significantly increases risk for anxiety. Test whether or not the performance of this sample is significantly higher than the normal population using the proper t-test. Here are the data: Anxiety scores: 12, 15, 10, 8, 10, 5, 10, 13, 4, 6 ANALYSES AND UNGRADED OPTIONAL GUIDING QUESTIONS: 1a. Identify the Indep.Variable:__ Dep.Variable:__ Is it the Hypothesis one-tailed or two-tailed?__ Proper t-test statistic:__ Why? _ State Hypotheses mathematically: H0:__ H1:__ State…The dose-response effect is best described as A. when similar studies produce similar results B. when all other possible causes are ruled out. C. when the value of the response variable changes in a meaningful way with the dosage of the suspected cause.
- Dr. Palmer found a small treatment effect. What can she do in improve her changes of finding a statistically significant result?I am trying to find the breakdown of the alpha, sensitivity, and specificity .. I hope this makes sense.A psychologist examined the effect of chronic alcohol abuse on memory. In this study, a standardized memory test was used. Scores on this test for the general population from a normal distribution with µ=50 and ϭ=6. A random sample n=22 people diagnosed with alcohol abuse had a mean score of mean is 47. Is there evidence for memory impairment among people diagnosed with alcohol abuse? Use α=0.05 Explain whether you reject or accept the null hypothesis.
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