Acme Products manufactures widgets. It has two machines which produce widgets. It is desirable that both...
Question 3 4 pts Acme Products manufactures widgets. It has two machines which produce widgets. It is desirable that both machines produce widgets of the same dimensions. At regular time intervals Acme's quality control tests the widgets from both machines. The last test produced the following results. In this context sM is the sample mean. SM1 = 5.61 S1 = 1.07 n1 = 100 SM2 = 5.89 S2 = 1.26 n2 = 100 Do the machines produce different sized widgets?...
Question 4 2 pts Acme Products manufactures widgets. It has two machines which produce widgets. It is desirable that both machines produce widgets of the same dimensions. At regular time intervals Acme's quality control tests the widgets from both machines. The last test produced the following results. Assume that the two Standard Deviations are equal (pooled Yes) SM1 = 5.61 S1 = 1.07 n1 = 100 SM2 = 5.89 S2 = 1.26 n2 = 100 Calculate a 95% confidence interval...
Question 6 4 pts The following data concerns a randomized controlled trial. Two groups of 100 men with systolic blood pressure in the 120 to 130 range and diastolic blood pressure in the 80 to 90 range are treated to reduce the “pre-hypertensive” state. The men are in the age range 30 to 40 years. The control group 1 is given placebo and the experimental group 2 is given a treatment.to reduce blood pressure. Assume the standard deviations are equal...
Question 5 3 pts The following data concerns a randomized controlled trial. Two groups of 100 men with systolic blood pressure in the 120 to 130 range and diastolic blood pressure in the 80 to 90 range are treated to reduce the “pre-hypertensive” state. The men are in the age range 30 to 40 years. The control group 1 is given placebo and the experimental group 2 is given a treatment.to reduce blood pressure. Assume the standard deviations are equal...
Question 5 3 pts The following data concerns a randomized controlled trial. Two groups of 100 men with systolic blood pressure in the 120 to 130 range and diastolic blood pressure in the 80 to 90 range are treated to reduce the “pre-hypertensive” state. The men are in the age range 30 to 40 years. The control group 1 is given placebo and the experimental group 2 is given a treatment.to reduce blood pressure. Assume the standard deviations are equal...
(1 point) Two statistics teachers both believe that each has the smarter class. To put this to the test, they give the same final exam to their students. A summary of the class sizes, class means, and standard deviations is given below: ni 57, T = 86.4, S1 17.5 n2 = 60, T2 = 81.5, S2 = 18.1 Is there evidence, at an a = 0.05 level of significance, to conclude that there is a difference in the two classes?...
The highway department is testing two types of reflecting paint for concrete bridge end pillars. The two kinds of paint are alike in every respect except that one is orange and the other is yellow. The orange paint is applied to 12 bridges, and the yellow paint is applied to 12 bridges. After a period of 1 year, reflectometer readings were made on all these bridge end pillars. (A higher reading means better visibility.) For the orange paint, the mean...
A.
Identify the test statistic=_____ (Round to two decimal
places)
The P-value is=_____ (Round to three decimal
places)
What is the concluion for this hypothesis
test?
A. Fail to reject Upper H0. There is sufficient evidence to
warrant rejection of the claim that the variation of maximal skull
breadths in 4000 B.C. is the same as the variation in A.D. 150.
B. Reject Upper H 0. There is insufficient evidence to warrant
rejection of the claim that the variation of...
The following ANOVA model is for a multiple regression model
with two independent variables:
Degrees
of
Sum
of
Mean
Source
Freedom
Squares
Squares
F
Regression
2
60
Error
18
120
Total
20
180
Determine the Regression Mean Square (MSR):
Determine the Mean Square Error (MSE):
Compute the overall Fstat test statistic.
Is the Fstat significant at the 0.05 level?
A linear regression was run on auto sales relative to consumer
income. The Regression Sum of Squares (SSR) was 360 and...