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test2_2b03(2008)

# test2_2b03(2008) - Stats 2B03 Test#2(Version 2 November...

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Stats 2B03 Test #2 (Version 2) November 17th, 2008 Name :___________________________________________ (Last Name) (First Name) Student Number: _____________________ Day Class Duration Instructor: : 75 Minutes Childs Maximum Mark : 20 This test paper consists of 19 multiple choice questions worth 1 mark each, and one question worth 1 mark on proper computer card filling. Marks will NOT be deducted for wrong answers (i.e., there is no penalty for guessing). QUESTIONS MUST BE ANSWERED ON THE COMPUTER CARD with an HB PENCIL. Answer all questions. You are responsible for ensuring that your copy of this paper is complete. Bring any discrepancy to the attention of your invigilator. Only the McMaster standard Calculator Casio fx-991 is allowed. 1. A researcher wishes to test whether excercise level ( 0 1 2 3 = none, = light, = moderate, = heavy) has an effect on systolic blood pressure. So the researcher collects some data and produces which is given with the green sheets of tables and formulas. Minitab Output #1 Find the values of ? and ? (the missing 95% Tukey confidence interval for ). ! " # " !! \$ (a) (b) (c) (d) to to to to \$ !%&’( !"&(# \$!(&!) %&*% \$!"&#( +&)# \$%&*’ "&+) (e) to \$+&(# \$!&()

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2. A researcher wants to test whether there is a relationship between education level and smoking status. So the researcher collects some data and produces the following Minitab output. Find the value of ? (the missing expected count in row 2, column 2 of the table ! ). --------------------------------------------------------------------------------------------------------------- Tabulated statistics: smokingstatus2, edlevel2 Rows: smokingstatus2 Columns: edlevel2 H N All D 21 ? 47 ? ? ? S ? 5 ? ? ? ? ! All 33 ? ? ? ? ? Cell Contents: Count Expected count Pearson Chi-Square = ?, DF = ?, P-Value = ? Likelihood Ratio Chi-Square = ?, DF = ?, P-Value = ? --------------------------------------------------------------------------------------------------------------- (a) (b) (c) (d) (e) 3.84 6.17 8.23 7.65 4.56
3. A researcher wants to test whether there is a relationship between excercise level and smoking status. So the researcher collects some data and produces the following Minitab output. What conditions are required for the validity of the below analysis? --------------------------------------------------------------------------------------------------------------- Rows: EXERCISE Columns: SMOKING STATUS 0 1 2 All 0 17 14 7 38 17.86 14.06 6.08 38.00 1 15 18 5 38 17.86 14.06 6.08 38.00 2 8 3 2 13 6.11 4.81 2.08 13.00 3 7 2 2 11 5.17 4.07 1.76 11.00 All 47 37 16 100 47.00 37.00 16.00 100.00 Cell Contents: Count Expected count Pearson Chi-Square = 4.937, DF = ?, P-Value = 0.552 Likelihood Ratio Chi-Square = 5.112, DF = ?, P-Value = 0.530 --------------------------------------------------------------------------------------------------------------- (a) The population variances must be equal (b) The sample size must be greater than 30 (c) No more than of the expected counts can be less than 5 ! + (d) The populations must follow a normal distribution (e) The populations must follow a chi-square distribution 4. A researcher wishes to test whether excercise level ( 0 1 2 3 = none, = light, = moderate, = heavy) has an effect on systolic blood pressure. So the researcher collects some data and produces which is given with the green sheets of tables and formulas. Minitab Output #1 Test the hypothesis that vs using . , - . , - / . &0+ 0 0 # 0 # 1 ! ! ! ! " (a) Do not reject since 0 is not in the interval from to . , \$"#&%" \$"&"" 0 (b) Reject since 0 is in the interval from to . , \$!*&!* #&+" 0 (c) Reject since the -value is equal to , which is less than , 2 &00+ &0+ 0 (d) Do not reject since 0 is in the interval from to . , \$!*&!* #&+" 0 (e) Reject since 0 is not in the interval from to . , \$"#&%" \$"&"" 0

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5. A researcher wants to test whether there is a relationship between excercise level and smoking status.
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test2_2b03(2008) - Stats 2B03 Test#2(Version 2 November...

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