QNT351 Week-5 DQs (2 DQs)

Question 1:
Perform the Exercise below using MegaStat, and present your MegaStat results as part of your response.
The data below are lab report scores for a group of science students
in a University science class. They performed three different
experiments on three different days. We will perform a One-Way Analysis
of Variance (ANOVA) on this data. To do this, you must enter the data in
the three columns into an Excel spreadsheet that you have previously .phoenix.edu/Classroom/”>INSTALLED MegaStat as Excel add-in. The data must have three columns as given.

Lab 1
Lab 2
Lab 3

15.0
14.0
14.5

15.0
13.5
17.0

14.3
9.0

11.7

14.3
14.3
14.3

14.7
14.4
14.6

13.5
15.0
14.3

14.3
14.3
14.3

14.9
14.3
16.3

14.3
13.7
14.0

15.0
14.3
14.7

15.0
14.9
15.0

15.0
14.4
14.7

15.0
14.9
14.9

12.5
15.0
17.8

14.7
14.7
14.7

15.0
12.8
13.9

15.0
14.3
14.6

12.8
13.5
13.1

14.3
13.5
16.5

14.3
13.5
13.9

14.4
13.3
17.5

From MegaStat select hypothesis test, then Analysis of Variance, then One-Factor ANOVA. A box appears.
Place the cursor inside the space that says input range. Then go to the
data and scroll all 3 columns from top to bottom including the headings.
Under Post-Hoc Analysis check “when p < 0.05. Check plot data, then click OK. Based on the output, can we conclude at the 5% level of significance that at least one of the populations is different? How did you decide based on decision rules? In this exercise how did you formulate the null and alternate hypothesis? Why do we perform the Post-Hoc Analysis? Question 2: Week Five DQ 2 Under what conditions will a researcher use a Chi-square test? In a Chi-square test what is the null hypothesis?? What type of data is used with chi-square analysis? The data below are for 64 students in an introductory college sociology class that were asked how many credits they had earned in college, and how certain they were about their choice of major. Their responses from a survey were tabulated in a contingency table below. We will perform a chi-square test on this data. Notice that the data is qualitative, and is also at the ordinal level of measurement. CREDITS Earned Very Uncertain Somewhat Certain Very Certain 0 – 9 12 8 3 10 – 59 8 4 10 60 or more 1 7 11 In a test of independence for an r× contingency table, the hypotheses are: Null, H0: Variable A is independent of variable B Alternate, H1: Variable A is not independent of variable B Procedure: First of all, copy this table into Excel. Then analyze the data as follows: In Excel, click add-in, then MegaStat (I assume you have INSTALLED MegaStat as an Excel add-in), then select Chi-square/crosstabs, then select contingency table. For input range scroll the entire contingency table including the headings. For output options, check all except Phi coefficient, coefficient of contingency, Cramer’s V, and Fisher exact test. Then click OK. The results will be displayed. Copy and paste your results into your response. Research question: At ?= 0 .01, is the degree of certainty independent on CREDITS earned? Explain.