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Question: A researcher wants to test whether production errors differ by time of day (Day, Evening, and Nigh shift). She randomly assigns a group of

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Question:

A researcher wants to test whether production errors differ by time of day (Day, Evening, and Nigh shift). She randomly assigns a group of accountants to each of three different shifts and measures the number of errors they make per month. She obtains the following results:

Test for a difference at ? = .05

Day

?X = 11

?2 =23

n = 6

Evening

?X=27

?2=163

n = 6

Night

?X=36?

?2=273

n = 6

STEP 1: State the null and alternative hypotheses. (2 points)

STEP 2: Set up the criteria for making a decision. That is, find the critical value.(1 point)

STEP 3: Compute the appropriate test-statistic. Show your work! (12 points)

(I have computed SStot for you)

Rows: Source Between Within Total

Columns: SS df MS F

SS of within: 101.3

STEP 4: Evaluate the null hypothesis (based on your answers to the above steps).(1 point)

STEP 5: Based on your evaluation of the null hypothesis, what is your conclusion?(1point)

A. Based on your decision about the null in the previous problem, is it appropriate to conduct a post-hoc test? (1 point)

B. Calculate the magnitude of effect for the previous problem and interpret what it means. (2 points)

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SP20 MATH 202 MW 9:15a-10:55a Homework: Recommended Problems for Section 4.1 Score: 0 of 1 pt 1 of 17 (0 complete) 4.1.1 What is the difference between univariate data and bivariate data? Choose the correct answer below. O A. In univariate data, the data are qualitative. In bivariate data, the data are quantitative. O B. In univariate data, there is one mean. In bivariate data, there are two means. O C. In univariate data, a single variable is measured on each individual. In bivariate data, two variables are measured on each individual. O D. In univariate data, there are only positive values and zeros. In bivariate data, there are positive values, negative values, and zeros. Click to select your answer and then click Check Answer All parts showing Clear All eBlock introduction researcher investigates if the level of testosterone influences the level of risk-taking behaviour among adolescents. Risk-taking behaviour is measured on a 7 -po cale. his is an example of. Bivariate statistics with testosterone as dependent variable Univariate statistics with testosterone as independent variable Bivariate statistics with testosterone as independent variable Inivariate statistics with testosterone as dependent variableQ2. (6 points) The effect of three different lubricating oils on fuel economy in diesel truck engines was studied. Five different truck engines (Blocks) were available for the following randomized complete block design: Trucks Oil 1 2 3 4 5 1 5.0 6.3 4.9 3.3 5.1 2 5.4 6.8 5.2 4.4 5.4 3 5.1 5.9 4.9 4.0 5.1 Complete the ANOVA Table and draw your conclusion: Source of Sum of df Mean Squares | F-Value Variation Squares Truck Oil Residual TotalThe null hypothesis in a completely randomized design is................ In a Randomized Complete Block design, the randomization is restricted in..... When differences exist in two directions, the experimenter..... ....... So that observed differences can be fully attributed to the treatment performances. Control, randomize, replicate and block refer to

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