# Project #17594 - BIOSTATS

Math 577                        E4                                    Name ____________

1.     Using a significance level of 0.05, test for independence given the following:

 Poor Fair Good Below Average 70 65 25 Average 40 80 60 Above Average 10 25 40

Assume the value of the test statistic is 48.06.  Calculate the expected number for poor and below average.

2.     Using a significance level of 0.05, determine if the probabilities for bank robberies are as given:

 Number of robberies/month probability actual 0 0.40 60 1 0.30 35 2 0.20 15 3 0.10 10

3.     Using a significance level of 0.05, test for equal means given the following:

 Source Df SS MS F Factors 2 240 120.0 30.0 Error 15 60 4.0 Total 17 300

4.     Using a significance level of 0.05, perform all necessary tests to test for equal factor A means.

 Source DF SS MS F Factor A 2 90 45.0 45.0 Factor B 3 72 24.0 24.0 Interaction 6 9 1.5 1.5 Error 12 12 1.0 Total 23 183

5.     Compute the slope and intercept for the following data:

 X Y XY X*X Y*Y 2 12 24 4 144 7 20 140 49 400 9 23 207 81 529 1 14 14 1 196 5 15 75 25 225 12 24 288 144 576 36 108 748 304 2070

6.     Using the data in problem 5, calculate the correlation coefficient.

7.     Using a significance level of 0.05, test for a positive correlation coefficient given a sample size of 11 and a sample correlation coefficient of 0.57.

8.     Given the following and a significance level of 0.05, test for a slope of zero.

The regression equation is

Y = 5.3 – 0.175 X

Predictor      Coef            SE Coef      T

Constant      5.3218            0.1845            28.84

X            -0.17499      0.01865      -9.38

Analysis of Variance

Source            DF            SS            MS            F

Regression                1            11.691            11.691            88.00

Error            10              1.329              0.133

Total            11            13.020

9.     Using the information in problem 8, form a 95% confidence interval on the slope.

10.  Using a significance level of 0.05, test if the model can be used for prediction.

The regression equation is

Y = 65.430 + 16.752 X1 + 11.235 X2

Predictor      Coef            SE Coef      T

Constant      65.430            12.134            5.39

X1            16.752              6.636            2.52

X2            11.235              9.885            1.14

Analysis of Variance

Source            DF            SS            MS            F

Regression                2            487760      243880      21.1

Error              5              57797        11559

Total              7            545558

 Subject Mathematics Due By (Pacific Time) 11/27/2013 12:00 pm
TutorRating
pallavi

Chat Now!

out of 1971 reviews
amosmm

Chat Now!

out of 766 reviews
PhyzKyd

Chat Now!

out of 1164 reviews
rajdeep77

Chat Now!

out of 721 reviews
sctys

Chat Now!

out of 1600 reviews

Chat Now!

out of 770 reviews
topnotcher

Chat Now!

out of 766 reviews
XXXIAO

Chat Now!

out of 680 reviews