Week 5 Fitness Quiz
take this "open book" quiz:
For any conceivable distribution of scores, the range will exceed the:
Distribution A and B have exactly the same range and the same number of
scores. How does their means compare?
Mean A is greater than mean B
Mean A is equal to mean B
Mean A is less than mean B
Any of the above may be true
3. Nine experts
rated a newly developed chocolate chip cookie on a scale of 1 to 50. Their
ratings were: 34, 35, 41, 28, 29, 32, 36, 38 and 40. What is the standard
4. The ages
of all patients in the isolation ward of the hospital are 38, 26, 13, 41
and 22. What is the population variance?
5. If the sample
variance for a frequency distribution was computed to be 10, what is the
sample standard deviation?
6. A sample
of the monthly amounts spent for food by families of four approximates a
symmetrical distribution. The sample mean is $150 and the standard deviation
is $20. About 95 percent of the monthly food expenditures are between what
$85 and $105
$100 and $200
$110 and $190
$205 and $220
7. You have
collected three samples of data. For the first sample you have computed
a mean of 62 and a standard deviation of 3.8; the second sample you have
computed a mean of 64 and standard deviation of 6; the third sample you
have computed a mean of 60 and standard deviation of 4.5. For which sample
is a score of 58 most discrepant?
Cannot be computed
8. If it turns
out that your sample standard deviation equals the actual population standard
deviation, then we can say that your sample statistics is a (n) ___________
of the population parameter.
9. If you are
dealing with sample data, the sums of squares should be divided by
10. In order
to obtain a z score, we must ______________ and then divide by the standard
Subtract the sample mean from the population mean
Subtract the population mean from the sample mean
Subtract the population mean from the X score
Add the sample mean and the X score
11. The mean
of the z distribution is:
Equal to the mean of the population distribution
Equal to the mean of the sample
Always equal to 1
Always equal to 0
12. We will
account for __________________% of all scores if we look between -2 and
+2 standard deviations in a normal distribution.
If we want to judge the magnitude of the difference between the means of
two different samples we must know the:
Range of values in both samples
Independent and dependent variables
When you add all the X scores and then square that value, this is symbolically
If a score is 118 and the mean of the test is µ= 100 with a standard deviation
of s = 16, what is the z score of the test score?
16. If a score
is 118 and the mean of the test is µ= 100 with a standard deviation of s
= 16, what percentage of the population scored above 118?
the values of X for a z score of -1.28 when µ= 67 and s = 9.7.
a raw score of 58 into equivalent scores in the distribution of SAT scores,
which has a mean of 500 and standard deviation of 100. The raw score distribution
has a mean of 45 and a standard deviation of 7.5:
Score with a mean of 50 and a standard deviation of 10 are called:
None of the above
The variance of a distribution equals 4. If each value in this distribution
is multiplied by 4, the variance of the newly generated distribution would
Here are the correct answers, compare them with yours:
you scored less than 80%, you should review this week's instruction.