Reference no: EM133366183
Question 1.
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.
Question 2
Which of the following is true about a 95% confidence interval of the mean:
a. 95 out of 100 confidence intervals will contain the population mean.
b. 95 out of 100 sample means will fall within the limits of the confidence interval.
c. 95% of population means will fall within the limits of the confidence interval.
d. There is a 0.05 probability that the population mean falls within the limits of the confidence interval.
Question 3
What is a scientific journal?
a. A collection of articles written by scientists that have been peer reviewed.
b. A notebook kept by scientists containing important details of all their own experimental research for future reference.
c. A collection of articles written by scientists that have not yet been reviewed by other scientists in the field.
d. A piece of scientific research that has not yet been published.
Question 4
What is the null hypothesis for the following question: Is there a relationship between heart rate and the number of cups of coffee drunk within the last 4 hours?
a. There will be no relationship between heart rate and the number of cups of coffee drunk within the last 4 hours.
b. People who drink more coffee will have significantly higher heart rates.
c. People who drink more cups of coffee will have significantly lower heart rates.
d. There will be a significant relationship between the number of cups of coffee drunk within the last 4 hours and heart rate.
Question 5
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.
Question 6
A 95% confidence interval for the difference between two population means is found to be (-0.08, 0.15). Which of the following statements is true?
a. We can be 95% confident that the true difference between the population means falls between -0.08 and 0.15.
b. The probability is 0.95 that a significant difference between the population means lies between -0.08 and 0.15.
c. The probability is 0.05 that the true difference between the population means is between -0.08 and 0.15
d. The two populations cannot have the same means.
Question 7
A researcher in a Human Resources Unit presented a recent study, which showed a statistical significance between length of staff lunch breaks and low productivity; how can she explain to her manager that this does not mean that the length of staff lunch breaks should be reduced?
a. A significant result means that the effect is strong.
b. A significant result means that the effect is not relevant.
c. A significant result does not mean that the effect is important.
d. A significant result means that the effect is weak.
Question 8
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?
Question 9
If my null hypothesis is 'Dutch people do not differ from English people in height', what is my alternative hypothesis?
a. Dutch people differ in height from English people.
b. English people are taller than Dutch people.
c. Dutch people are taller than English people
d. All of the statements are plausible alternative hypotheses.
Question 10
A researcher was assessing customer satisfaction with MakeMebeautiful, a new beauty product. He had a sample size of 75 and a p-value of 0.10. Does the researcher recommend that the company stop promoting this product?
a. Yes, because statistical significance has nothing to do with sample size.
b. No, because the sample size is large and therefore the p-values are accurate.
c. Yes, because the sample has low confidence levels.
d. No, because the sample size is small and p-values are easily affected by sample size.
Question 11
Children can learn a second language faster before the age of 7'. Is this statement:
a. A one-tailed hypothesis
b. A non-scientific statement
c. A two-tailed hypothesis
d. A null hypothesis