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130. Which statement (s) about Chi-square statistic is/are true? a. it is nonpar

ID: 3040649 • Letter: 1

Question

130. Which statement (s) about Chi-square statistic is/are true?

a. it is nonparametric test

b. the data can be nominally scaled discrete categories

c. the calculated value is compared against a critical value to obtain the probability value

d. all of the above

129. Scores on the State-Trail Anxiety Inventory (STA) and multiple choice test grades are entered into correlation matrix. A Pearson r = -85 is obtained. How should the researcher interpret this result?

a. There is strong positive association between level of anxiety and test performance

b. there is a relatively strong association between increases anxiety and lower test performance

c. anxiety causes poor test performance

d. 1 and 3

128. A statistical significance level of alpha = .05 means

a. the researcher expects to obtain results that will correctly reject the null hypothesis that is true 95 times out of 100

b. the researcher accepts the odds risks of making a type I error 5 chances out of 100

c. the researcher has .95 level of confidence of correctly rejecting the null hypothesis

d. all of the above

127. A type I error is defined as:

a. Acceptance of a null hypothesis that is actually false

b. Rejection of a null hypothesis that is actually true

c. Acceptance of null hypothesis that is actually true

d. Rejection of a null hypothesis that is actually false

126. What are the statistical tests that can be applied to data collected with an instrument to assess reliability of the instrument itself?

a. Cronbach's alpha

b. Kuder Richardson (KR-12) coefficient

c. Spearman's rho

d. 1 and 2

125. Number of days in the hospital, age, and weight in kilograms are examples of what level of data?

a. ranked ordered

b. nominal

c. ratio

d. ordinal

124. Mother's education, birth order, and family income are examples of what level of data?

a. nominal

b. ordinal

c. ratio

d. ranked order

123. Marital status, child's gender, and religious preference are examples of what level of data?

a. ratio

b. ranked ordered

c. ordinal

d. nomimal

122. Given a set of statistics (Mean = 3.42, Median=3.10, Mode=3.00, standard deviation=0.76, the +/-1 Sd range is

a. 2.66 -4.18

b. 2.34-3.86

c.2.24-3.76

d. none of the above

121. A staistical test that enters sample size and number of stastical tests into the equation is a:

a. Post hoc analysis

b. Test of validity

c. Power analysis

d. Test of reliability

120. A statistical tecnique to measure the interaction of the independent variables in a three-way analysis of variances (ANOVA) is termed:

a. Ex post facyo analysis

b. Correlation analysis

c. Post hoc analysis

d. power analysis

119. How well the instrument measures a phenomrmnon consistently on repeated measures is termed:

a. reliability

b. validity

c. reliability and validity

d. probability

118. How well an instrument identifies the phenonmenon that it is supposed to identify is:

a. reliability

b. validity

c. reliability and validity

d. probability

117. A 100 millimeter line scored by the researcher placing "X" on the line is:

a. a rank-ordered scale

b. a categorical scale

c. an interval scale

d. an analog scale

116. A scale that consists of two opposite adjectives with a seven point scale between them is:

a. an analong scale

b. a likert scale

c. a concrete variable measurement

d. a continous variable measurement

115. "Subjects must be 18 years-of-age or older, be newly diagnosed with Cancer, have no other major illnesses and be a primary care provider for at least one child under the age of five years." This statement is an example of:

a. Stratified sampling

b. inclusion criteria

c. a convenience sample

d. exclusion criteria

Explanation / Answer

130. Which statement (s) about Chi-square statistic is/are true?

a. it is nonparametric test

b. the data can be nominally scaled discrete categories ................is the correct the answer.

The Chi-Square test of Independence is used to determine if there is a significant relationship between two nominal (categorical) variables.

c. the calculated value is compared against a critical value to obtain the probability value

d. all of the above

129. Scores on the State-Trail Anxiety Inventory (STA) and multiple choice test grades are entered into correlation matrix. A Pearson r = -85 is obtained. How should the researcher interpret this result?

a. There is strong positive association between level of anxiety and test performance.

b. there is a relatively strong association between increases anxiety and lower test performance

c. anxiety causes poor test performance..................is correct anser.

there is negative strong correction given r=-0.85

d. 1 and 3

Please post remaining questyions saperately. Hope this will be helpful Thanks and God Bless You :-)

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