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'Children can learn a second language differently before the age of 7 than after.' Is this statement:


A) A non-scientific statement
B) A two-tailed hypothesis
C) A one-tailed hypothesis
D) A null hypothesis

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Under a null hypothesis,a sample value yields a p-value of .015.Which of the following statements is true?


A) This finding is statistically significant at the .01 level of significance.
B) This finding is not statistically significant.
C) This finding is statistically significant at the .001 level of significance.
D) This finding is statistically significant at the .05 level of significance.

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What does a significant test statistic tell us?


A) There is an important effect.
B) That the test statistic is larger than we would expect if there were no effect in the population.
C) The hull hypothesis is false.
D) All of the above.

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A 95% confidence interval is:


A) The range of values of the statistic which we can be 5% confident contains a significant effect in the population.
B) The range of values of the statistic which probably contains the true value of the statistic in the population.
C) The range of values of the statistic that we can be 95% confident contains a significant effect in the population.
D) The range of values of the statistic which we can by 95% certain does not contain the true population effect.

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The 99% confidence interval usually is:


A) Narrower than the 95% confidence interval.
B) Wider than the 95% confidence interval.
C) The same as the 95% confidence interval.
D) A less precise estimate of the effect in the population than the 95% confidence interval.

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There are basically two types of statistics - descriptive and inferential.Which of the following sentences are true about descriptive statistics?


A) All of the above.
B) Descriptive statistics describe the data.
C) Descriptive statistics enable you to make decisions about your data,for example,is one group mean significantly different from the population mean?
D) Descriptive statistics enable you to draw inferences about your data,for example does one variable predict another variable?

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Why is the standard error important?


A) It gives you a measure of how well your sample parameter represents the population value.
B) It is unaffected by outliers.
C) It is unaffected by the distribution of scores.
D) It tells us the precise value of the variance within the population.

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A Type I error occurs when:


A) The data we have typed into SPSS is different from the data collected.
B) We conclude that there is an effect in the population when in fact there is not.
C) We conclude that there is not an effect in the population when in fact there is.
D) We conclude that the test statistic is significant when in fact it is not.

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