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Null hypothesis in thesis writing

1.Briefly explain what rejecting the next null hypothesis would inform us:

2. Write the right alternative hypothesis connected with this particular null hypothesis. (1 point)
3.Suppose a buddy you have finds a statistically significant omnibus ANOVA F test indicating you will find mean variations on happiness one of the 4 different age ranges in the study. Consequently, he conducts independent samples t-tests to find out which specific age ranges differed.

a)What’s the possibility of making a minumum of one type 1 error in case your friend runs independent samples t-tests on all possible pairs of means, presuming he makes use of an alpha=.05 per t-test? (Show your projects) (1 point)

b) What will be a better option to performing independent samples t-tests in cases like this and why? (2 points)

4.A investigator conducts two studies both evaluating statistics anxiety scores for 3 categories of graduated pupils: statistics majors, psychology majors, and sociology majors. Descriptive statistics in the two research is presented below. Possible scores around the statistics anxiety scale vary from 20 to 100 points. Both studies were with different total of 45 participants, with 15 participants in each one of the 3 groups.

Statistics Psychology Sociology

Study 2:
Statistics Psychology Sociology

a) If oneway ANOVAs were conducted around the two studies, what facets of the ANOVA would stay the same and just what aspects would differ backward and forward ANOVAs and why? (3 points)

b) For Study 1 compute the sums of squares between. (Show your projects) (1 point)

c) For Study 1 compute the sums of squares within. (Show your projects) (1 point)

d) For study 1 compute the result size according to ?2 with this study and indicate if the represents a little, medium,or large effect size. (1 point)

5. Make use of the descriptive statistics and partial ANOVA summary table provided below to reply to the questions below regarding whether newbie teachers’perceptions of the student teaching encounters differ based on their teaching area, i.e. secondary, elementary, or special education.

studtch perceptions of student teaching encounters
N Mean Std. Deviation

1.00 secondary 179 5.4637 1.78584
2.00 elementary 159 5.7788 1.54895
3.00 special erectile dysfunction 27 5.3642 1.82576
Total 365 5.5936 1.69301

Test of Homogeneity of Variances

studtch perceptions of student teaching encounters
Levene Statistic Sig.
1.744 .176

studtch perceptions of student teaching encounters
Amount of Squares df Mean Square F
Between Groups (1)_____ (3)_____ 4.949 (7)_____
Within Groups 1033.433 (4)_____ (6)_____
Total (2)_____ (5)_____

a) Condition the null and alternative ideas tested with this ANOVA. (1 point)

b) Discover the critical value at alpha = .05. (1 point)

c) Complete the 7 missing information within the ANOVA summary table (Show your projects). (3 1/2 points)

d) Condition your record decision. (1 point)

e) Draw your conclusion. (1 point)

f) If among the questions of great interest was whether special education teachers had less positive student teaching encounters than either elementary or secondary education teachers, indicate the contrast coefficients you would employ to reply to this.

g) Make use of the ANOVA score model to look for the aftereffect of becoming an elementary educationrespondent. (This can be a computed number so show your projects) (1 point)

h) To have an elementary education respondent by having an observed score of three, what’s the &#8220error&#8221 component within their score? (This can be a computed number. Show your projects) (1 point)

i) Briefly explain exactly what the &#8220error&#8221 identified in h) might represent. (1 point)

6. In another analysis in the same study of newbie teachers,perceived teaching skills were compared over the three teaching areas.

While using outcomes of the Tukey test below, which groups did and didn’t differ as well as in how? i.e. who appeared to feel their teaching skills were relatively more powerful? Less strong? (1 point)

Tukey’s Studentized Range (HSD) Test for tchskill

NOTE: This test controls the kind I experimentwise error rate.

Alpha .05
Error Levels of Freedom 574
Error Mean Square 1.28185
Critical Worth of Studentized Range 3.32313

Comparisons significant in the .05 level are shown by ***.

Difference
teaching Between Synchronised 95%
Comparison Means Confidence Limits

elementary &#8211 secondary .39011 .15818 .62204 ***
elementary &#8211 special erectile dysfunction .48073 .03946 .92200 ***
secondary &#8211 elementary -.39011 -.62204 -.15818 ***
secondary &#8211 special erectile dysfunction .09062 -.34328 .52453
specialed &#8211 elementary -.48073 -.92200 -.03946 ***
specialed &#8211 secondary -.09062 -.52453 .34328

7. On the different ANOVA, assume you’ve examined Levene’s make sure found it statistically significant. Additionally, you observe that the sample sizes of countless groups are very different, which the biggest group has got the tiniest variance of groups within the analysis. You want to conduct the ANOVA utilizing an alpha of .05.

a) What assumption seems to become violated in cases like this? (1 point)

b) In cases like this, what’s the nominal worth of alpha for that ANOVA? (1 point)

c) In cases like this, would the particular worth of alpha for that ANOVA are usually bigger or smaller sized compared to nominal alpha you gave in b)? Explain the way to go. (1 point)

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Renee 13/07/2016 6:23:54

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