Question

The tails of the normal curve never touch the abscissa because

theoretically, any value is possible.

it is a line plot.

normal data are not continuous.

it is not possible to have a value with 0 relative frequency

What proportion of values are between 0 and 3 standard deviations from the mean?

0.5

half of 0.50

half of 0.997

less than 3%

A negative z-score indicates that the original score was

greater than the mean.

equal to the standard deviation.

equal to the mean.

less than the mean.

What would you conclude if you computed a z-score to be 14?

A mistake was made because z scores range from -3 to +3.

That the original score is much greater than the mean and may be an outlier.

That the data are probably negatively skewed.

Which of the following scatterplots reflects the strongest correlation?

  

A steep positive slope.

A shallow positive slope.

A positive slope with little space between the line and the data points.

A perfectly flat slope with all the points on the line.

All of the following are possible conclusions when r = 0 except:

  

there is no linear relationship.

there is no non-linear relationship.

there is a potential outlier.

there is a restricted range.

Given a mean of 100 and a standard deviation of 15, what is the probability of scoring 140 or higher? (round answer to 3 places)

What is 8! equal to?

How many combinations of 3 shapes can be selected from 9 shapes?

The number of permutations for 3 shapes selected from 9 shapes is ________ times greater than the answer to the previous question.

3

6

9

16

What is the probability of rolling a 2, 4, or 5?

What is the probability of rolling an odd number or a number less than 5? (round answer to 2 places)

What is the probability of 4 heads in a row? (round answer to 2 places)

Given 25 coin tosses, what is the probability of obtaining 18 or more correct guesses?

0.05

0.04

0.03

0.02

0.01

Population __________ differ(s) from sample __________.

parametrics; summaries

parameters; estimates

parameters; statistics

statistics; statistics

The distribution of sampling means, known as the sampling distribution, is all of the following, except

normally distributed

symmetrical

based on all possible sample means

biased

All of the Above are true

According to the __________, the sample mean is an unbiased estimate of the population mean.

central tendency theorem

central limit theorem

central boundary theorem

central limit law

The correction factor in the denominator of the estimated population standard deviation formula will have the greatest impact for

small samples

larges samples

representative samples

random samples

Based on the example, the SEM is computed instead of the ESEM because (see Slide #12, Ch.8)

the population mean is known.

the population standard deviation is unknown.

the samples are relatively small.

the population standard deviation is known.

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Question 61 pts

Given SS=1833 and n=40, what is the est. pop. SD? (round answer to 2 places)

What is the ESEM for the previous question?

1.07

1.08

1.09

1.1

Answer 1

Question 1:

There is a possibility of any value for a normal distribution curve. Therefore it never touches the x axis. Therefore theoretically, any value is possible is the correct answer here.

Question 2:

According to the empirical property for normal distribution, about 99.7% of the observations lies within 3 standard deviations of the mean. Therefore 0.997 is the required answer here.

Question 3:

The Z score is computed as:

Therefore a negative z score means the value is less than the mean.

Question 4:

Given a z score of 14, which is way too much greater than 3, this means that the score is 14 standard deviations greater than the mean.

Therefore the original score is much greater than the mean and may be an outlier.