Question

Question 11 options: that scores above the mean are distributed the same as scores below the mean that extreme scores are possible in a normal distribution that there are an infinite number of possible normal distributions that this characteristic has no practical implication

Question 12 (1 point) In a normal distribution with 3±1 (M±SD), a researcher can appropriately conclude that about 84.13% of scores were greater than 2. Question 12 options: True False

Question 13 (1 point) The mean, median, and mode are all located at the 50th percentile in a perfect normal distribution. Question 13 options: True False Question

14 (1 point) The ________ are the range of continuous values containing the score of interest in a binomial distribution. Question 14 options: observed limits approximate limits real limits speed limits

Question 15 (1 point) What is the z-score for scores in the top and bottom 2.5%? Question 15 options: 1.96 1.96 .0124 There is not enough information to answer this question. Question 16 (1 point) A researcher randomly selects a sample of participants from a population with a variance of 4. If a researcher selects a sample of 16 participants with a mean of 12, then what is the mean and standard error for the sampling distribution of the mean?

Question 16 options: mean = 12, standard error = 2 mean = 12, standard error = 1 mean = 12, standard error = 0.5 There is not enough information to answer this question.

Question 17 (1 point) The average sample variance equals the population variance when dividing SS by df. Question 17 options: True False

Question 18 (1 point) The following samples were selected by two researchers. Which is associated with a smaller standard error of the mean? Researcher A: n = 25, μ = 5, σ = 7 Researcher B: n = 25, μ = 32, σ = 7

Question 18 options: Researcher A Researcher B They both have the same standard error.

Question 19 (1 point) As sample size increases, the standard error of the mean Question 19 options: increases decreases can increase or decrease does not change

Question 20 (1 point) Saved The sampling distribution of the mean is a distribution of all the possible samples of a particular size that can be selected from a given population. Question 20 options: True False

Answer #1

**Ans 12.)** **True**

P(X>2) = P(Z>-1) = P(Z<1) = 0.84134

**Ans 13.) True**

**Ans 14.)**

**Ans 15.) 1.96**

**Ans 16.) Mean = 12 and Standard error = =
0.5**

**Ans 17.) False**

**Ans 18.) They both have same standard error of
mean** because they both have same sample size and same
standard deviation and S.E of mean =

**Ans 19.) Decreases**

**Ans 20.) False**

Sampling distribution of the mean is a
distribution of **means** of all possible random
samples of a particular size that can be selected from a given
population.

Consider a population of scores associated with a test for
depression. The population mean for these scores is 75 and the
population standard deviation is 25. What is the standard error of
the sampling distribution of the mean for a sample size of 16?

Question 1 (1 point) The percentage of scores located between
the mean and two standard deviations above the mean in the standard
normal distribution is ___________. Question 1 options: a) 34.13%
b) 47.72% c) -34.13% d) 50% Save Question 2 (1 point) The z-score
that cuts off the upper 17% of the distribution is _________.
Question 2 options: a) 1.28 b) 1.96 c) 0.95 d) -1.03 Save Question
3 (1 point) With a mean of 100 and a standard deviation...

Question 1 (1 point)
A population is slightly skewed to the right, has a mean of 75
and a standard deviation of 7. If a random sample of 28 items are
selected from this population, then the mean score of these 28
items is from a sampling distribution that has a mean of ...
Your Answer:
Question 1 options:
Answer
Question 2 (1 point)
A population is slightly skewed to the left, has a mean of 71
and a standard...

0. Consider a distribution of raw scores in which the
distribution is normal. Consider that each and every score is
converted into a standard score (a z score), such that the
resulting distribution is a normal distribution of standard scores
(a standard normal distribution, also known as the SND). The
standard normal distribution has all the following characteristics,
except
a. The distribution is bell-shaped.
b. The distribution is symmetrical.
c. The mean, median, and mode of the distribution are equal...

Question 3
The larger the sample size, the __________ the standard error of
the mean.
Larger
Smaller
More diverse
Less diverse
1 points
Question 4
The central limits theorem tells us that the mean of the
sampling distribution of means will always be equal to:
0
standard error of the mean.
mean of the population.
mean of the sample.

Scores on an aptitude test are distributed with a mean of 220
and a standard deviation of 30. The shape of the distribution is
unspecified. What is the probability that the sampling error made
in estimating the population mean by the mean of a random sample of
50 test scores will be at most 5 points? Round to three decimal
places.

A population is normally distributed with a mean of 30 and a
standard deviation of 4. a. What is the mean of the sampling
distribution (μM) for this population? b. If a sample of n = 16
participants is selected from this population, what is the standard
error of the mean (σM)? c. Let’s say that a sample mean is 32. 1)
What is the z-score for a sample mean of 32? (calculate this) 2)
What is the probability of...

The mean, median, and mode are all located at the 50th percentile
in a perfect normal distribution.
Question 13 options:
True
False
Question 14 (1 point)
The ________ are the range of continuous values containing the
score of interest in a binomial distribution.
Question 14 options:
observed limits
approximate limits
real limits
speed limits

Question: The probability that a standard
normal variable, Z, is below 1.96 is 0.4750. (T/F)
Question-After an
extensive advertising campaign, the manager of a company wants to
estimate the proportion of potential customers that recognize a new
product. She samples 120 potential consumers and finds that 54
recognize this product. She uses this sample information to obtain
a 95 percent confidence interval that goes from 0.36 to 0.54.
True or False: 95 percent of the people will recognize the
product...

Question 1.
Which of the following is the CORRECT interpretation of a 95%
confidence interval?
a) There is a 95% probability that the interval contains the
population value
b) There is a 95% chance that the true population value is
inside the interval
c) if we sampled from a population repeatedly and created
confidence intervals, 95% of those confidence intervals would
contain the population mean
d) We are 95% sure of the sample statistic
Question 2.
What is the mean...

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