Raisa Islam
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2nd Yr PSYC2001 (LECTURE 2) Quiz on LECTURE TWO PSYC2001 MCQS, created by Raisa Islam on 29/05/2016.

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Raisa Islam
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LECTURE TWO PSYC2001 MCQS

Question 1 of 13

1

What is a population?

Select one of the following:

  • A subset of a large group of people

  • A large group of observations (people, objects etc.) about which a researcher wants to draw conclusions

  • The number of people in a country

  • The number of people that comprise a demographic

Explanation

Question 2 of 13

1

What does descriptive statistics do?

Select one of the following:

  • Make leaps and conclusions about a population from sample data

  • Describe the data in a meaningful way

  • Explain formulae, the theory behind the statistics

  • Compress and condense raw data in the world into a workable size

Explanation

Question 3 of 13

1

What is σ²M

Select one of the following:

  • Standard variance of the population

  • Standard error of the mean

  • Standard deviation

  • Variance of sample

Explanation

Question 4 of 13

1

What are inferential statistics

Select one of the following:

  • A tool to predict the sample based on population data

  • A tool to draw inferences about a population from sample data

  • A way to compress and consolidate sample data

  • A way to estimate and make decisions about sample statistics

Explanation

Question 5 of 13

1

What are the two inferential procedures

Select one of the following:

  • Hypothesis testing and extrapolating

  • Estimation and interpolating

  • Estimation and hypothesis testing

  • Hypothesis testing and determining limitations

Explanation

Question 6 of 13

1

What is a confidence interval?

Select one of the following:

  • How likely a particular value or set of values is in the given data

  • An estimation of the confidence results are significant

  • An estimation of the area that encompasses a particular value

  • A tool to define a prediction, i.e. is it true or not

Explanation

Question 7 of 13

1

What is hypothesis testing?

Select one of the following:

  • How likely a particular value or set of values is in the given data

  • A way to test if the hypothesis can be applied to the entire population

  • A way to test if the hypothesis is valid

  • A tool to define a prediction regarding a statement about the population parameter, i.e. is it true or not

Explanation

Question 8 of 13

1

What is the sampling distribution?

Select one of the following:

  • A hypothetical distribution of values of a particular population parameter made by repeatedly sampling "n" times from a sample and calculating the value of the statistic for each sample

  • A hypothetical distribution of values of a particular sample statistic made by repeatedly sampling "n" times from a population and calculating the value of the population parameter for each sample

  • A hypothetical distribution of values of a particular sample statistic made by repeatedly sampling "n" times from a population and calculating the value of the statistic for each sample

Explanation

Question 9 of 13

1

The standard error of the mean only refers to the , i.e. the behaviour of the averages collected , while the variance is the noise in the .

Drag and drop to complete the text.

    experiment
    population
    sample
    that you are doing now
    parameter
    statistic
    that you did previously
    in the experiment
    for the population
    in a previous experiment
    populations
    experiments
    samples
    sampling distributions

Explanation

Question 10 of 13

1

M is the unbiased estimate of μ

Select one of the following:

  • True
  • False

Explanation

Question 11 of 13

1

Fill the blank spaces to complete the text.

tells you how much you can trust your

Explanation

Question 12 of 13

1

Fill the blank space to complete the text.

As 'n' gets larger, you get a better estimate of the .

Explanation

Question 13 of 13

1

Decreasing standard deviation makes the σ²M more spread out, and pulls data away from the population mean.

Select one of the following:

  • True
  • False

Explanation

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