A researcher should use __________________ to analyze data when he has only a sm
ID: 3316049 • Letter: A
Question
A researcher should use __________________ to analyze data when he has only a small sample, and he knows that the sample was drawn from a population that is seriously skewed.
inferential statistics.
nonparametric statistics.
parametric statistics.
descriptive statistics.
Which of these analytic techniques can be used to analyze data across three or more conditions of the IV?
1. t test
2. Analysis of variance
3. Chi-square
2 only
1 and 2 only
2 and 3 only
1, 2, and 3
In a chi-square test, we reject the null hypothesis when the obtained chi-square is
lower than the critical tabled value.
higher than the critical tabled value.
close to the mean of the tabled distribution of chi-square.
far from the mean of the tabled distribution of chi-square.
Assume that you test the null hypothesis that there is no significant difference in the frequency with which students choose among the four alternatives when guessing the answer to a difficult question on a four-choice multiple-choice test. You select 24 students at random and compare their answers. The number of students choosing each answer is shown below:
Answer: A B C D
Number of Students Choosing: 3 9 2 10
Under the null hypothesis, what is the EXPECTED number of students choosing answer B?
4
6
9
24
The purpose of a chi-square goodness-of-fit test is to determine whether
sample frequencies are proportional to population frequencies.
sample frequencies are the same as population frequencies.
sample frequencies between two different samples are similar.
sample frequencies are randomly distributed
inferential statistics.
nonparametric statistics.
parametric statistics.
descriptive statistics.
Which of these analytic techniques can be used to analyze data across three or more conditions of the IV?
1. t test
2. Analysis of variance
3. Chi-square
2 only
1 and 2 only
2 and 3 only
1, 2, and 3
In a chi-square test, we reject the null hypothesis when the obtained chi-square is
lower than the critical tabled value.
higher than the critical tabled value.
close to the mean of the tabled distribution of chi-square.
far from the mean of the tabled distribution of chi-square.
Assume that you test the null hypothesis that there is no significant difference in the frequency with which students choose among the four alternatives when guessing the answer to a difficult question on a four-choice multiple-choice test. You select 24 students at random and compare their answers. The number of students choosing each answer is shown below:
Answer: A B C D
Number of Students Choosing: 3 9 2 10
Under the null hypothesis, what is the EXPECTED number of students choosing answer B?
4
6
9
24
The purpose of a chi-square goodness-of-fit test is to determine whether
sample frequencies are proportional to population frequencies.
sample frequencies are the same as population frequencies.
sample frequencies between two different samples are similar.
sample frequencies are randomly distributed
Explanation / Answer
1. Non parametric method
Note : we use method where assumptions of normality not required
2. Anova and chi square (2and 3 )
Note :
Anova : to compare more than two means
Chi square: to compare two or more proportions
3. Higher than the critical value
4. 6
Expected value of B = 24/4 = 6
5. Sample frequencies are same as population frequencies
Related Questions
drjack9650@gmail.com
Navigate
Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.