Q1-what is statistics and why is it important to science? (5 Marks)

Q2- Indicate whether each of the following F statistics are significant based on the following information, assuminga = .05. (3 Marks)

1. F (4, 120) = 3.26
2. F (2, 60) = 3.10
3. F (6, 500) = 2.14

Q3- State the THREE assumptions for ANOVA and define each. Identify which, if any, of the assumptions that can be violated. (8 Marks)

Q4- Identify 5 factors that influence the magnitude of the t-test. (5 Marks)

Q5- A researcher thinks that people who drive red cars drive faster than people who drive white cars. He recorded the speed of a random sample of red and white cars on a highway. The data follow. (10 Marks)

	Red Cars	White Cars
Mean	72.5 mph	69.75mph
Variance	7.32 mph	9.85 mph
Sample Size	53	49

a)What is the research hypothesis?

b)Is a one-tail or a two-tail test more appropriate?

c)Calculate the appropriate statistical test.

d)Is the research hypothesis supported? Explain?

Q6- Calculate the correlation coefficient for the previous data. Is it significant? brief statement to explain the results. (10 Marks)

Self-esteem	Grades
10.00	83.00
9.00	97.00
8.00	92.00
7.00	83.00
7.00	93.00
6.00	97.00
6.00	75.00
6.00	68.00
5.00	59.00
4.00	65.00

Q7- Identify the three measures of central tendency, define each, and indicate which is the best to use and why. (7 Marks)

Q8- Briefly define post-hoc tests and explain what the main difference is between 'liberal' and 'conservative' of post-hoc tests? (5 Marks)

Q9- Answer the following questions based on this SPSS output. (10 Marks)

ANOVA Traditional Sex Roles Score Sum of Squares di Mean Square F Sig. Between Groups 15279.468 4 3019.086 170.897 000 Within Groups 8761.906 392 22.352 Total 24041.372 398Multiple Comparleone Dependent Variable: Tradiforul Sax Roles Score LSD Difference 95% Confidence Interval Number of children (J) Number of children (I-J) Sid. Error Sig. Lower Bound Upper Bound 1200 000 8.33 3.59 2100 -5.53' 2.41 022 -10.27 -.79 3.00 -12.35' 2.77 1000 -17.79 8.90 4.00 -14.27 .57 000 -15.39 -13.14 1.00 4.98' .70 000 3.59 8.33 2.00 2.42 816 -5.32 4.19 3.00 -7.30' 2.78 008 -12.84 -1.92 4.00 81 1000 -10.51 8.10 2.00 100 5.53' 2.41 122 79 10.27 1.00 156 2.42 816 -4.19 5.32 -8.12 3.61 060 -13.92 28 4.00 8.74 2.39 -13.43 -404 3.00 12.35' 2.77 000 8.90 17.79 1.00 2.78 008 1.92 12.84 2.00 8.82 3.61 -28 13.92 400 -1.92 2.75 485 7.33 3.49 4.00 14.27' 57 000 13.14 15.39 1.00 9.30 1000 8.10 10.51 2.00 8.74' 2.39 1000 4.04 13.43 3.00 1.92 2.75 485 -3.49 7.33 *. The mean difference is significant at the 05 loved