What is the Central Limit Theorem?

theory explaining as sample sizes increases the distribution normalizes

Which of the following is true about a 95% confidence interval (CI)?

A 95% chance that the pop. mean will fall within the limits of the CI.

What is the difference between descriptive and inferential statistics?

descriptive- summarizes data, inferential- samples data to make predictions

What does a significant test statistic tell us?

There is an effect in the popul. of sufficient magnitude to be interesting.

The correlation between employee IQ and productivity is .12 with a significance of p < .01. What can we conclude?

That there is a small relationship between IQ an productivity.

Correlational studies allow the analyst to?

Identify the relationship between two variables

Predicts that an experimental treatment will have no effect on the DV.

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Day 1 Review for BUS 305

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Questions 28

Answers

1
What is the Central Limit Theorem?
theory of how to calculate the mean
explains statistical significance
theory of how to calculate confidence intervals
theory explaining as sample sizes increases the distribution normalizes
2
What is the conventional level of significance that is often accepted when conducting stat. tests in social science?
0.001
0.1
0.5
0.05
3
How much variance is explained when a correlation of .9 is found in your analysis of employee IQ and productivity?
18%
81%
9%
None of the above.
4
What is probability?
how likely something is to happen
neither answer is correct
the basis for all statistics
both answers are correct
5
what is the difference between single and multiple regression?
one needs normalized data, one does not
# of independent variables
# of dependent variables
single is one round of analysis, multiple uses more than one round
6
In a perfectly symmetrical bell-shaped "normal" distribution
All the above.
the arithmetic mean equals the mode.
the arithmetic mean equals the median.
the median equals the mode.
7
Which of the following is true about a 95% confidence interval (CI)?
A 95% chance that the sample means will fall within the limits of the CI.
A 95% chance that the pop. mean will fall within the limits of the CI.
95 out of 100 sample means will fall within the limits of the CI.
5 out of 100 pop. means will fall within the limits of the CI.
8
Calculate the range for: 2 6 12 6 6 8 15 12 20 6
18
6
2
20
9
Which notation shows expected value?
n*p*q
f(x)
n*p
E(x)
10
Why use regression?
to determine how input factors influence each other
to determine which input factors can be ignored
to determine which input factors matter most
all of these are correct
11
Calculate the mode for: 11 15 23 29 19 22 21 20 15 25 17
19
15
11
25
12
What is the difference between descriptive and inferential statistics?
descriptive- summarizes data, inferential- samples data to make predictions
descriptives use only charts, inferential uses only equations
descriptive uses central tendency, inferential uses dispersion measures
descriptives require normal data, inferential does not
13
what is a normal distribution?
none of these are correct
a U shaped curve
an S shaped curve
a bell shaped curve
14
The standard deviation for a sample is 6, what is the variance for this sample set?
36
12
3
2
15
What does a significant test statistic tell us?
All of the above.
The null hypothesis is false.
There is an effect in the popul. of sufficient magnitude to be interesting.
There is an important effect in the sample data.
16
Calculate the mode for: 11 15 23 29 19 22 21 20 15 25 17
15
25
11
19
17
Calculate the median for: 11 15 23 29 19 22 21 20 15 25 17
19.5
22
20
21
18
Calculate the mean for: 3 5 1 4 2 3
3
4
5
4.5
19
The correlation between employee IQ and productivity is .12 with a significance of p < .01. What can we conclude?
That IQ causes productivity.
All of the above.
That there is a small relationship between IQ an productivity.
That there is a substantial relationship between IQ and productivity.
20
Correlational studies allow the analyst to?
Predict the effect of one variable upon another
Identify the relationship between two variables
Test for differences between two variables
Make causal inferences about the relationship between two variables
21
Both the independent t-test and the dependent t-test assume that?
Data are measured at least at the interval level.
The sampling distribution is normally distributed.
Neither a nor b.
Both a and b.
22
y=ax+b is the equation for...
a binomial distribution
a discrete distribution
a regression line
the standard deviation
23
If n=sample size and p=success rate and q= failure rate, what does p+q =
depends of the # of trials
0
# of trials/sample size
1
24
What is a binomial distribution
a distribution with 2 possible outcomes
both answers are correct
the probability of a success or failure outcome in an experiment or trial
neither answer is correct
25
Which method is used when assessing whether posttest scores are statistically different than pretest scores?
dependent samples t-test
Pearson's Chi-square test
independent samples t-test
Pearson R
26
what is a frequency distribution?
tells you how often something happened
both answers are correct
neither answer is correct
displays the number of observations within a given interval
27
Which method is used when assessing whether there is a significant association between the two categorial variables?
dependent samples t-test
Pearson R
independent samples t-test
Pearson's Chi-square test
28
A null hypothesis.
States that the experimental treatment will have an effect.
Is rarely used in experiments.
Predicts that an experimental treatment will have no effect on the DV.
None of the above.

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