Choose and calculate the appropriate t-test to compare the confidence of participants given consistent feedback with those given inconsistent feedback.

Assignment Question

For this assignment, use data from W1 Project (SEE UPLOADED FILE- USE FILE FOR THIS ASSIGNMENT) Also check out the uploaded file with instructions including a video link to use for this order. This week, you will first look to see whether the type of information participants were given, whether consistent or inconsistent with what they viewed in the video, has a bearing on confidence. You will next explore the hypothesis that memory may decay over time.

1. Choose and calculate the appropriate t-test to compare the confidence of participants given consistent feedback with those given inconsistent feedback.

  • a. Move your output into a Microsoft Word document and write an interpretation of your test following the data output in one paragraph. Be sure to use APA format and write a formal report modeled on the examples given in your lecture.

2. Choose and calculate the appropriate t-test to compare Recall 1 with Recall 3.

  • a. Move your output into a Microsoft Word document and write an interpretation of your test following the data output in one paragraph. Be sure to use APA format and write a formal report modeled on the examples given in your lecture.

Bacterial growth was measured at different temperatures. The density of bacteria (cells/ml) are given below. Use the 5% significance level to test for a functional relationship (regression analysis) between temperature and growth.

Assignment Question

Bacterial growth was measured at different temperatures. The density of bacteria (cells/ml) are given below. Use the 5% significance level to test for a functional relationship (regression analysis) between temperature and growth. Some calculations are provided below. Temp, X Growth, Y 12 72 15 60 14 76 17 84 18 77 Based on the data above, conduct ANOVA for Regression analysis and submit your solution.

You must follow the rules below in your solution: Your solution cannot include any R code as a solution, Must include formulas, numeric setup for all intermediate calculations, Must show how you obtained SSx, SSy, SSxy, SSr, SSt, SSe, all df, and all MS values, include slope, intercept, & a full equation of the regression line, You must show how you obtained the Critical and Calculated values using formulas, You must clearly label your computations, Must include a written null and alternate hypotheses (no mathematical notations here), You must include a conclusion and an interpretation for your conclusion.