One and Two Sample Interference Flashcards

1
Q

this is the analysis and interpretation of data

A

inferential

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

parametric and non parametric test

A

inferential

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

are the test applied to data that are normally distributed

A

parametric test

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

parametric test is usually expressed in

A

interval and ratio

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

in parametric test, the skewness is equal to

A

zero

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

in parametric test, the kurtosis is equal to

A

0.265

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

True or False

parametric test is more powerful than non parametric test

A

true

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

what is the non parametric equivalent of paired t test

A

wilcoxon rank sum test

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

what is the non parametric equiavalent of unpaired t test

A

mann-whitney u test

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

its non parametric equivalent is spearman correlation

A

pearson correlation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

what is the nonparametric equivalent of one way analysis of variance

A

kruskal wallis test

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

procedures in hypothesis testing

A
  1. formulate the null and alternative hypothesis
  2. choose a level of significance
  3. choose the appropriate test statistic
  4. establish critical region
  5. decision (accept null if outside the critical region)
  6. conclusion
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

if the computed t-statistics is less than the critical value, does it fall in the critical region?

A

it does not fall in the critical region

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

if the critical value falls in the critical value, should we reject or accept?

A

reject

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

this table is used to find the critical values based on 95% confidence level and alpha at 0.05

A

t table

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

this test involves the direction and the degrees of freedom in determining the probability or the critical value

A

t table

17
Q

number of observations, and the data that are free to vary when estimating a statistical parameter

A

degrees of freedom

18
Q

degrees of freedom used to calculate what kind of values?

A

t-values and p-values

19
Q

it is used when you want to test if the sample’s mean from which the sample is drawn is at a hypothesized value

A

one sample interference

20
Q

it is typically implemented on small samples

A

one sample interference

21
Q

the purpose of this is to determine if the sample observation could have come from a process that followes a specific parameter like the mean

A

one sample interfence

22
Q

it is used to determine whether the mean of a sample data set is different from a known value

A

one sample mean test

23
Q

True or False

small sample size makes the test more conservative means that the small but important differences may be detected

A

False (small but important differences may NOT be detected)

24
Q

True or False

increasing sample size makes the statistical test more powerful

A

true

25
Q

if outliers have a lot of influence on the results, what non parametric test might be appropriate to use?

A

wilcoxon rank sum test

26
Q

what is the result of one sample mean test called?

A

student fisher distribution

27
Q

what is the usual norm level of significance according to researchers?

A

0.05

28
Q

This is used to determine the mean differences between two sets of the observations from the same sample is zero
○ each subject is measured twice leading to pairs of observations

A

paired t test

29
Q

where do we drawn samples for paired t test

A

samples are drawn from the same population

30
Q

Used in experimental design to test the effectiveness of a
certain technique or method or program that had
developed

A

paired t test

31
Q

two types of t test

A

one sample and two sample interference

32
Q

Used to determine the inference for a difference in the
means of two normal distribution

A

two independent mean test

33
Q

what is the non parametric test perform if the assumptions are not met in two independent variable

A

welch t test

34
Q

Used to determine if two populations are equal
and Determine if the difference is significant

A

two independent mean test

35
Q

sample less than 30 (n<30)

A

one sample mean test

36
Q

population less than 30 (N<30)

A

two independent mean test

37
Q

this identifies which of the variance will be used for the interpretation (equal variances assumed or equal variances not assumed)

A

Levene’s Test for Equality of Variances