Students read a grade-appropriate passage aloud to the teacher for 1 minute. The measure assesses decoding and is seen as a critical measure of reading fluency. The results of this measure are sensitive to the short-term student gains in reading skills and predictive of long-term reading success. Scored as # of correctly read words in 1 minute.

Students pronounce three letter CVC nonsense words based on the sounds the letters make. This is an early measure of the student’s decoding skill. Score is # correct in 1 minute.

The teacher says a three-letter CVC nonsense word. The student must choose the correct matching word from three possible choices, based on the sounds in the word the teacher said. Score is # correct in 1 minute.

In introduction of the new concept component of the GPLP, what would be the explicit instuction of the sound /t/?

Scarborough’s Reading Rope identifies three major strands, or subskills, that contribute to printed word recognition: (mark all that apply)

The term “sirvinacuy” refers to 

The Spanish word “escribano” referred to

The Spanish term “audiencia” referred to 

Place your name on all pages. Number appropriately, and solve on your paper. You must show all work to receive credit. Answer according to methods presented in the class or textbook. Partial credit is possible. ———————————————————————– (5 pts) Let the regression equation be given by yL=12x+74{“version”:”1.1″,”math”:”yL=12x+74″}, where x{“version”:”1.1″,”math”:”x”} represents the number of books read and yL{“version”:”1.1″,”math”:”yL”} represents predicted IQ.  Determine approximately how many books were read for a predicted IQ of 158.

Place your name on all pages. Number appropriately, and solve on your paper. You must show all work to receive credit. Answer according to methods presented in the class or textbook. Partial credit is possible. —————————————————— Consider the one-way ANOVA results below, which compare download times of three types of computers: Anova: Single Factor             SUMMARY             Groups Count Sum Average Variance     MAC 10 1606 160.6 508.0444444     iMAC 10 1831 183.1 188.1     Dell 10 2560 256 214.6666667       ANOVA             Source of Variation SS Df MS F P-value F crit Between Groups 49739.4 2 24869.7 81.9150086 3.42516E-12 3.354130829 Within Groups 8197.3 27 303.6037037       Total 57936.7 29         And these are partial Tukey range results that go along with the results above:        Absolute Std. Error Critical     Comparison Difference of Difference Range Results   MAC to IMAC 22.5 5.5100245 27.55 Means are not different MAC to Dell 95.4 5.5100245 27.55 Means are different iMAC to Dell 72.9 5.5100245 27.55 Means are different a. (5 pts) On your own paper, write the null and alternative hypotheses for the overall ANOVA test. b. (5 pts) On your paper, draw a picture from the above ANOVA results that shows the F test statistic in relation to the F cutoff value. c. (5 pts) At the α=0.05{“version”:”1.1″,”math”:”α=0.05″} level of significance, the value of the Q statistic that is used to get the Tukey results above is 3.506. What do the 2 numbers represent in the data (i.e., 3 across and 27 down) that help us arrive at this statistic?