Which of the following statement is false?

Ho (null hypothesis) refers to a specified value of a sample statistic.

If the p-value is less than alpha in a one-tailed test:

the null hypothesis should be rejected.

When testing for differences between the means of two related populations, what is the null hypothesis?

The difference between the two population means is equal to 0.

What should Levene's test be in order to use the 'equal variance assumed' row of a t-test?

It should be non-significant (P > 0.01)

This could identify whether there was a significant difference between the groups on an independent t-test output?

T-test for equality of mean section

In which of the following cases could you use a paired-samples t-test?

When comparing the same participants performance before and after training

Which section of a paired-samples t-test output can be ignored?

The paired-samples correlations

Which of the following is/are true about the p-value?

Indicates the probability of seeing the observed result

If the p-value is greater than alpha in a two-tailed test:

the null hypothesis should not be rejected.

When testing for differences between the means of two related populations, what is the null hypothesis?

The difference between the two population means is equal to 0.

An independent t-test can be used to assess which of the following?

It assesses differences between two groups of participants

In which of the following cases could you use a paired-samples t-test?

When comparing the same participants' performance before and after training

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Assessment on t-test

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Answers

1
Which of the following statement is false?
Null hypothesis refers to a specified value of the population parameter.
The statement of Ha (alternate hypothesis) never contains equality.
Ho (null hypothesis) refers to a specified value of a sample statistic.
The statement of Ho (null hypothesis) always contains equality.
2
If the p-value is less than alpha in a one-tailed test:
the null hypothesis should be rejected.
the null hypothesis should not be rejected.
a one-tailed test should be used
alpha should be changed
3
When testing for differences between the means of two related populations, what is the null hypothesis?
The difference between the two population means is equal to 1.
The difference between the two population means is greater than 0.
The difference between the two population means is greater than 1.
The difference between the two population means is equal to 0.
4
What should Levene's test be in order to use the 'equal variance assumed' row of a t-test?
It should be non-significant (P > 0.01)
It should be non-significant (P > 0.05)
It should be significant (P > 0.05)
It should be significant (P < 0.05)
5
It shows how close the observed sample statistic has come to the hypothesized population parameter.
sample size
level of significance
confidence coefficient
test statistic
6
This could identify whether there was a significant difference between the groups on an independent t-test output?
The confidence interval columns
The descriptive statistics box
T-test for equality of mean section
The correlation coefficient box
7
In which of the following cases could you use a paired-samples t-test?
When comparing two separate groups
When comparing the same participants performance before and after training
When comparing men and women's scores
When assessing goodness of fit
8
The probability you reject the null hypothesis when in fact the null hypothesis is true is called __________.
a Type I error
effect size
the power
a Type II error
9
At 5% level, If a p-value was given as 0.0330, then the conclusion would be to
not reject the null hypothesis
accept the null hypothesis
not enough information is given.
reject the null hypothesis
10
Which section of a paired-samples t-test output can be ignored?
The paired-samples correlations
The paired differences
Descriptive statistics
Means
11
Which of the following is/are true about the p-value?
Rules out the role of bias and/or confounding
Indicates that the results observed are of public health significance
Indicates the probability that the null hypothesis is true.
Indicates the probability of seeing the observed result
12
Which one of the following is the complement of alpha?
Statistical Power
Type I error
the confidence coefficient
Type II error
13
Which of the following statistics are important when interpreting an independent samples t-test?
T scores
Significance level
All of these
Mean difference
14
If the p-value is greater than alpha in a two-tailed test:
the null hypothesis should be rejected.
the null hypothesis should not be rejected.
alpha should be changed.
a one-tailed test should be used.
15
What is the alternative name for a repeated-measures t-test?
Chi-squared test of difference
A Wilcoxon test
Single sample t-test
A paired-samples t-test
16
When testing for differences between the means of two related populations, what is the null hypothesis?
The difference between the two population means is equal to 1.
The difference between the two population means is greater than 0.
The difference between the two population means is greater than 1.
The difference between the two population means is equal to 0.
17
An independent t-test can be used to assess which of the following?
It assesses relationships between two interval data sets
It assesses differences between two groups of participants
It assesses relationships between two ratio data sets
It assesses goodness of fit
18
In which of the following cases could you use a paired-samples t-test?
When assessing goodness of fit
When comparing the same participants' performance before and after training
When comparing two separate groups
When assessing three groups or more

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