Graded Web Calculator Exercise 5

We reject Ho if χ2 > χα2. At α=0.05, with 4 degrees of freedom, the critical value becomes χα2=9.488 (table E.4)

For problems requiring computations, please ensure that your Excel file includes the associated cell computations and/or statistics output; this information is needed in order to receive full credit on these

15 In testing the hypotheses: H0 β1 ’ 0: vs. H1: β 1 ≠ 0 , the following statistics are available: n = 10, b0 = 1.8, b1 = 2.45, and Sb1= 1.20. The value of the test statistic is:

For d1, t-statistic=- 2.5334, t-statistic > t-critical. Thus we reject Ho and d1 is significant.

A researcher has designed a study to test the effects of different types of individual psycho-therapy on people's levels of anxiety. She has randomly placed people into one of three groups: a behavioral treatment group, a psycho-dynamic treatment group, or a no-treatment control group. She then measures people's level of anxiety after the treatment.

Retrospective chart reviews will be conducted to determine amount of anger clients felt during the BIP at Esperanza Guidance Services. Clients are required to do weekly anger journals along with homework they turn in each week during group therapy for BIP. Weekly anger journals will be analyzed to determine levels of anger each week. Anger journals ask clients to rate the physical signs and behavior signs of anger on a one to ten scale. These journals also ask clients to describe the situation and how they handled it by asking if the client took a time out, stuffed it, escalated it, or directed it. Alcohol and drug use is also discussed in the anger journal. Demographic information was also gathered (age, gender, ethnicity, and race).

* The p-value= 0.282. The p-value is another complementary and equally valid way we can evaluate the null and alternative hypotheses is by looking at the p-value and compare the p-value to alpha. If the p-value is less than alpha, reject the null hypothesis and accept the alternative

2. Follow this up with computing 95% confidence intervals for each of the variables described in a.-d., and again interpreting these intervals.

H0: µ0 =3.2 GPA H1: µ0 ≥ 3.2 GPA The significance level is α = .05

These students will be from ages eighteen to twenty seven. The students have signed up to take part of the experiment through the Psychology department. The students all be majoring some form of science (Biology, Chemistry, Physics, and Biochemistry) and are all taking the same number of hours this semester. Twenty five students while be female, while the other twenty five students will be male. Nineteen of the twenty five female students have jobs while seventeen of the twenty five male students have a job. Thirteen of the twenty five female students have practiced meditation at one point. Six of the twenty five male students have practiced meditation at one point. None of the fifty students have practiced meditation in the past six months. None of the students have children. All fifty students have been informed about the experiment and all agree to participate. All fifty students complete a questionnaire about their stress and anxiety when it comes to school. Fourteen of the fifty participants stated they had low stress levels. Twenty-three of the fifty stated they were stressed but it was manageable. Thirteen of the fifty students stated they were highly

The reliability ranges from .88 to .94 whereas the substitute-form of reliability has estimates range from .73 to .95. The Test-retest reliabilities range from .82 to .94 (Bell, Matthews, and Lassiter, 2002). Futhermore, the Kuder-Richardson-20 formula has a

We will apply 2 by 2 analysis of variance (ANOVA) because we are analyzing the differences among group means and their procedures (such as “treatment” and between genders).

First test subjects were given a set of 15 words. The participant had 30 seconds to memorize as many words as he/she could remember. Then, the participant had 2 minutes to record the words he/she recalled. The subject then preformed exercise (brisk walking) for 3 minutes. After exercise, the subject received a different set of 15 words and repeated the

Select (Overall) in the Factor(s) and Factor Interactions box and click on the arrow beside the Display Means for box. This moves (Overall) into the Display Means for box. Repeat the procedure for I_level, T_size, and I_level*T_size. Next, click on the Descriptive Statistics box, Estimates of effect size box, and the Homogeneity tests box. Then click on the Continue button to return to the Univariate window. Click on the OK button in the Univariate window to obtain the ANOVA output shown here.

The test was done several times, I have rewritten my results into a clearer table, this can bee seen on a the next separate sheet.