Make your own research question for each
A) z-test
B) t-test
C) independent samples
D) related samples ANOVA
A) one-factor, independent measures
B) one-factor, repeated measure
ex. "My study": Does deafness effect quality of life for
individuals living in underdeveloped countries.
My own research question foe the following:
(A) Z - test: Can a random sample of the height of 100 students
with sample mean =
= 5.0 feet be considered as from a large population of students in
a university having population mean =
= 5.6 feet and population SD =
= 0.75 feet.
(B) t - test: Can a random sample of 10 students with sample mean = = 5.0 feet and sample SD = s = 0.75 feet be considered as from a large population of students in a university having population mean = 5.6 feet.
(C) Independent samples: Can two random samples of males and females each containing 40 students: with males sample mean = 1 = 5.6 feet and sample SD = 0.75 feet and female sample mean = 2 = 5.5 feet and sample SD = 0.4 feet be considered as from sample population.
(D) Related sample ANOVA: Can the blood pressure measurements from the same person on different times be taken as same.
(A) One -factor, independent measures: Are there any significant differences between 4 different groups of participants, each group with a different dosage of caffeine.
(B) One-factor, repeated measure: Which commercial has highest mean rating among rating on 10 point scale on 4 commercials by 40 participants.
Make your own research question for each A) z-test B) t-test C) independent samples D) related...
For each example, state whether the one-sample, the two-independent-sample, or the related samples t-test is most appropriate. If it is a related samples t-test, indicate whether the test is a repeated measures design or a matched-pairs design. 1) A researcher matches right-handed and left-handed siblings to test whether right-handed siblings express greater emotional intelligence than left-handed siblings. A. one-sample t-test B. two-independent sample t-test C. related samples t-test using the repeated measures design D. related samples t-test using the matched-pairs...
Design your own study using one of the following statistical tests: one-sample t-test, paired samples t-test, independent samples t-test, or ANOVA. Give (1) your sample, (2) research question, (3) the appropriate test with the null and research hypotheses, and (4) the two variables, including (a) how you would measure both variables and (b) each variable’s level of measurement. Be creative. Do not include data in your response.
Which t test requires you to calculate a difference score? Independent-samples t test z-score test Related-samples t test One-sample t test
6. Engagement Activity: The t Test for Two Related Samples In the last chapter, you were introduced to Professor Ken Bonanno's Statistical Methods in Psychology class, where students are asked to complete a research study as a part of the semester-long course. Many of his students' research questions could be asked using the independent-measures t test, but there are other approaches, which will be explored in this chapter. Click the following topics to see some sample questions asked by Professor Bonanno's students....
Problem Set 7.1: t Test with Related Samples Criterion: Differentiate between independent samples, repeated measures, and matched samples. Data: Scenario A: A researcher wants to know whether men or women spend more money at the movie concession stand. He asks the concession clerk to identify customers as male or female by marking their gender on each saved receipt. Scenario B: A CPR instructor wants to know if her students are learning anything during her 90-minute training. She decides to quiz...
Match each research question below with the appropriate analysis: (independent samples t-test, dependent samples t-test, one-way ANOVA, or Chi-Square analysis). 1. Do cereals with a grade of A have significantly fewer calories per serving compared to those with a grade of B? 2. Is there a significant difference in the number of grams of carbohydrates and grams of protein within specific cereals? 3. Is there a significant difference in the ratings from cereals of different manufacturing brands?? 4. Is there...
Section l: Scenarios (20 pts) Read the following scenarios and state the appropriate test to analyze the data from the list of 7 tests below. Two-way ANOVA One-sample t-test Independent-samples t-test Paired-samples t-test One-way ANOVA* Repeated-measures ANOVA Correlation 1.5 Cholesterol (2.0 pts): A study is conducted to examine the impact of a new medicine on the cholesterol level in adults. It is also hypothesized that the new medicine may work differently for women and men. Therefore, you recruit 20 women...
Problem Set 7.1: t Test with Related Samples • Criterion: Differentiate between independent samples, repeated measures, and matched samples. • Data: o Scenario A: A researcher wants to know whether men or women spend more money at the movie concession stand. He asks the concession clerk to identify customers as male or female by marking their gender on each saved receipt. o Scenario B: A CPR instructor wants to know if her students are learning anything during her 90-minute training....
For the following questions, identify the type of test that should be used. Simply use the corresponding letter: A) One-sample z test (for a mean); B) One-sample t-test; C) One-sample z-test for a proportion (or a chi-squared goodness-of-fit); D) Chi-square goodness of fit (and a z-test is not appropriate); E) Two-sample z-test for a difference between proportions (or a chi-squared test for independence); F) Chi-square test for independence (and a z-test is not appropriate); G) Simple regression; H) Multiple regression;...
Conduct an independent samples t-test (a.k.a., between-subjects design). Each sample should have at least n=8 individuals. What to turn in: 1. What is your research question? 2. State the null (Ho) and alternative (H1) hypotheses. 3. Conduct the hypothesis test using an alpha level of .05, and state your conclusion (Reject Ho/Fail to Reject Ho) regarding the original hypotheses. 4. Calculate and interpret a measure of effect size (est. Cohen's d or r2) and a 95% confidence interval.