Ashford 3 : - Week 2 - Quiz

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What makes it possible to interpret negative values of z from a table that includes only positive values? (Points : 1)

      [removed] The fact that normal distributions are symmetrical
      [removed] The fact that the z distribution has s = 1.0
      [removed] The fact that there are no negative values of z
      [removed] The fact that normal distributions all have the same value of the mean

Question 2 of 10In a distribution for which the mean is 25 and the standard deviation is 5, what percentage of all scores occur at 30 or above? (Points : 1)

      [removed] 15.87%
      [removed] 20%
      [removed] 34.13%
      [removed] 84.13%

Question 3 of 10In a distribution for which the mean is 25 and the standard deviation is 5, what percentage of all scores occur between 20 and 30? (Points : 1)

      [removed] 34.13%
      [removed] 68.26%
      [removed] 84.13%
      [removed] 92.39%

Question 4 of 10Dividing the sample standard deviation by the square root of the number in the sample produces what value? (Points : 1)

      [removed] The parameter value for the standard error of the mean
      [removed] The estimated population standard deviation
      [removed] The estimated standard error of the mean
      [removed] The estimated value of t

The central limit theorem maintains ____________. (Points : 1)

      [removed] all data in a population are normal
      [removed] any distribution can be turned into a z distribution
      [removed] all values tend toward the center of the distribution
      [removed] distributions based on samples tend to be normal

Degrees of freedom refers to ____________. (Points : 1)

      [removed] how much flexibility the test has
      [removed] how robust the test is when assumptions are violated
      [removed] how many values can vary
      [removed] how many different kinds of data can be analyzed

Question 7 of 10The measure of within-group data variability in the independent t-test is ___________. (Points : 1)

      [removed] the estimated standard error of the mean
      [removed] the population standard deviation
      [removed] the estimated standard error of the difference
      [removed] the population standard error of the mean

A type I decision error occurs when someone erroneously determines that a result is not significant. (Points : 1)

      [removed] True 
      [removed] False 

The law of large numbers affects sampling procedure how? (Points : 1)

      [removed] Large numbers indicate relatively large sampling errors.
      [removed] Large samples create distributions with small mean values.
      [removed] Large samples tend to minimize sampling error.
      [removed] Large numbers eliminate sampling error.

 

 

 

 

If the z transformation is used with population data, M is replaced by what symbol? (Points : 1)

 

      [removed] s
      [removed] m
      [removed] z
      [removed] X

    • 11 years ago
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