Test
Lesson 7-9
Este test tiene tipos de pregunta que se abren en el reproductor de siempre.
Preguntas del test (23)
1Which of the following is true for a one sample t-test
- AIt is used to test whether a sample mean takes a certain value in a single population
- BIt is used to test whether a sample mean takes a certain value in multiple populations
- CIt is only used to see if a sample mean is greater than a certain value in a single population
- DIt is used to compare sample means across two populations
2A one-sample t-test only has one assumption
- AVerdadero
- BFalso
3A one sample t-test assumes that n>30, and if not, then the population must be normally distributed, or at least symmetrical.
- AVerdadero
- BFalso
4Which of the following are correct assumptions for a one-sample t-test
- AData is randomly selected and n>30
- BData is randomly selected and comes from two independent populations
- CData is randomly selected and comes from two dependent populations
- DData is randomly selected and populations have equal variance
5What do you do if n<30 for a one sample t-test
- AYou check that data is normally distributed via histograms, Q-Q plots and a Shapiro Wilk's test, if not then the population needs to be approximately symmetrical
- BYou check that data is normally distributed via a Levene's Test for Equal Variances
- CYou check that the data has equal variance around the mean via histograms, Q-Q plots and a Shapiro-Wilk's test
- DYou don't need to do anything because the central limit theorem will apply and the data will be normally distributed
6A one sided alternative hypothesis in a one-sample t-test is more conservative than a two sided hypothesis
- AVerdadero
- BFalso
7If the alternative hypothesis for a one sample t-test is one sided, then we only have a one sided confidence interval
- AVerdadero
- BFalso
8How does a p-value relate to the test statistics?
The p-value is the [blank_start]probability[blank_end] of finding this value for the [blank_start]test[blank_end] [blank_start]statistic[blank_end] (or one more [blank_start]extreme[blank_end]), if the [blank_start]null[blank_end] hypothesis were [blank_start]true[blank_end]. So if the t statistic is quite [blank_start]large[blank_end], then the p-value will be [blank_start]small[blank_end], and the chances of a false [blank_start]positive[blank_end] are less.- Aprobability
- Btest
- Cstatistic
- Dextreme
- Enull
- Ftrue
- Glarge
- Hsmall
- Ipositive
9Which of the following correctly defines the use of a two-samples t-test
- AIt is used to compare means of two independent populations
- BIt is used to compare means of two dependent populations
- CIt is used to compare means across more than two dependent populations
- DIt is used to compare means across more than two independent populations
10Which of the following are the correct assumptions for a two-samples t-test
- AData comes from two independent populations
- BData comes from two dependent populations
- Cn>30 and if not then the population is normally distributed or at least symmetrical
- Dn<30 and if not then the population is normally distributed or at least symmetrical
- EYou can do a two-samples t-test on any kind of population even if it is not normally distributed
- FPopulation variances and whether they are equal or unequal has been taken into account
- GPopulation variance doesn't matter
11The three key considerations of a two-samples t-test are as follows.
1. The data comes from [blank_start]two[blank_end] [blank_start]independent[blank_end] populations
2. n[blank_start]>[blank_end]30 and if not then the population is [blank_start]normally[blank_end] [blank_start]distributed[blank_end] or at least [blank_start]symmetrical[blank_end]
3. Whether [blank_start]variances[blank_end] are unequal or equal is taken into account- Aindependent
- Btwo
- C>
- Dnormally
- Edistributed
- Fsymmetrical
- Gvariances
12By default, we assume that variances are unequal
- AVerdadero
- BFalso
13When can we assume equal variances when performing a two-samples t-test
- AWe know the population variances and they are approximately equal
- BWe have run a two-variances F-test if the two samples ARE normally distributed and it shows no difference
- CWe have run a Levene's test for equal variances if the two samples ARE NOT normally distributed and it shows no difference
- DWe have run a Levene's Test for equal variances if the two samples ARE normally distributed and it shows no difference
- EWe have run a two-variances F-test for equal variances if the two samples ARE NOT normally distributed and it shows no difference
14The central limit theorem applies when doing an F-test
- AVerdadero
- BFalso
15Which of the following are correct concerning an F-distribution
- AValues can be positive or negative
- BValues can only be positive
- CThe distribution is centred around 0
- DThe distribution is symmetric
- EThe distribution is not symmetric
16Which of the following is true concerning an F-test or a Levene's test for equal variances
- Aif p>.05, then you can reject the null hypothesis and the variances are unequal
- Bif p>.05 then you fail to reject the null hypothesis and the variances are equal
- Cif p<.05 then you can reject the null hypothesis and the variances are equal
- Dif p<.05 then you fail to reject the null hypothesis and the variances are unequal
17A paired sample t-test is the same as a one-sample t-test on the differences between two samples
- AVerdadero
- BFalso
18Below are visualisations of two populations when doing a two-samples t-test
- ANull hypothesis is true
- BNull hypothesis is false
- CEqual variances
- DUnequal variances
- ENull hypothesis is true
- FNull hypothesis is not true
- GEqual Variances
- HUnequal variances
- INull hypothesis is true
- JNull hypothesis is false
- KEqual variances
- LUnequal variances
- MNull hypothesis is true
- NNull hypothesis is false
- OEqual variances
- PUnequal variances
19Which of the following is CORRECT
- AA shaprio-wilk's test is used to test for normality, when p>.05, the null hypothesis is true and the data is normal
- BA shaprio-wilk's test is used to test for normality, when p<.05, the null hypothesis is false and the data is normal
- CA shaprio-wilk's test is used to test for normality, when p<.05, the null hypothesis is true and the data is normal
- DA shaprio-wilk's test is used to test for equal variances, when p<.05, the null hypothesis is false and the data is normal
- EA shaprio-wilk's test is used to test for equal variances, when p>.05, the null hypothesis is true and the data is normal
20An Anderson Darling's test is the same as a Shapiro Wilk's test and is used to test for normality in a population
- AVerdadero
- BFalso
21Which of the following is CORRECT
- AThe modern scientific approach follows an inductive approach where we use sample data and generalise it to the population
- BThe modern scientific approach follows an deductive approach where we use sample data and generalise it to the population
- CThe modern scientific approach follows an deductive approach where we have proven hypotheses that we then deduce from
- DThe modern scientific approach follows an inductive approach where we have proven hypotheses that we then deduce from
22Which of the following is CORRECT
- AStatistical methods follow a deductive approach where we have proven hypotheses that we then deduce from
- BStatistical methods follow a inductive approach where we have proven hypotheses that we then deduce from
- CStatistical methods follow a inductive approach where we generalise sample data to the wider population
- DStatistical methods follow a deductive approach where we generalise sample data to the wider population
23[blank_start]Deductive Approach[blank_end] [blank_start]-[blank_end] start with a proven hypothesis that we then observe data from
[blank_start]Inductive Approach[blank_end] [blank_start]-[blank_end] use sample data to make generalisations about the population- ADeductive Approach
- BInductive Approach
- C- hypothesis into data
- D- data into hypothesis
Información
- Descripción
- Learning Technology Specialist (MATHS581) Honours Psychology Test sobre Lesson 7-9, creado por Eva Bonning el 08/04/2021.
- Autor
- Eva Bonning
- Idioma
- English
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