Question

1. The value of t-score in a hypothesis testing is influenced by a variety of factors. Assuming that all other variables are held constant, explain how the value of t is influenced by each of the following:

a. Increasing the difference between sample mean and the original population mean.

b.Increasing the variability of scores.

c. Increasing the number of people in the sample.

Answer #1

1) The value of the z-score that is obtained for a
hypothesis test is influenced by several factors. Some factors
influence the size of the numerator of the z-score and other
factors influence the size of the standard error in the
denominator. For each of the following, indicate whether the factor
influences the numerator or denominator of the z-score and
determine whether the effect would be to increase the value of z
(farther from zero) or decrease the value of...

Several factors influence the value of the independent-samples t
statistic (that is, tobs). Some factors affect the numerator and
others the denominator. For each of the following, indicate (by
circling your choice) whether the factor influences the numerator
or denominator of t and determine whether the effect would be to
increase the value of t (farther from 0) or decrease the value of t
(closer to 0). In each case, assume that all other factors remain
constant.
a. Increasing the...

1. Which of the following is a major difference between a
hypothesis test with a t statistic and the test with a z-score?
a.
You must know the population standard deviation for the z-score
but not for the t statistic.
b.
You use the normal distribution table to find critical values
for t but not for z.
c.
You must know the population median for the z-score but not for
the t statistic.
d.
There are no major differences between...

T F 1. A p-value of .008 in hypothesis testing means there is
only a .8% chance we could get such sample statistics from the
population if the null hypothesis is as stated. Such an event is
considered unlikely and we would reject the null hypothesis.
T F 2. As a general rule in hypothesis testing, it is always
safer to set up your alternate hypothesis with a greater-than or
less-than orientation.
_____3. If the level of significance is .02...

A consumer product testing organization uses a survey of readers
to obtain customer satisfaction ratings for the nation's largest
supermarkets. Each survey respondent is asked to rate a specified
supermarket based on a variety of factors such as: quality of
products, selection, value, checkout efficiency, service, and store
layout. An overall satisfaction score summarizes the rating for
each respondent with 100 meaning the respondent is completely
satisfied in terms of all factors. Suppose sample data
representative of independent samples of...

A consumer product testing organization uses a survey of readers
to obtain customer satisfaction ratings for the nation's largest
supermarkets. Each survey respondent is asked to rate a specified
supermarket based on a variety of factors such as: quality of
products, selection, value, checkout efficiency, service, and store
layout. An overall satisfaction score summarizes the rating for
each respondent with 100 meaning the respondent is completely
satisfied in terms of all factors. Suppose sample data
representative of independent samples of...

1. A social researcher wants to test the hypothesis that people
who drink a lot while bowling have higher scores than people who do
not drink while they bowl. The researcher studies 50 drinking
bowlers and 50 non-drinking bowlers. The average score for drinking
bowlers was 142 with a standard deviation of 7.45. The average
score for non-drinking bowlers was 134 with a standard deviation of
6.81.
In words: What are your conclusions about the null
hypothesis?
2. A social...

14.
Calculate the critical t-value(s) for each of the given
hypothesis test scenarios below. If mulitple critical values exist
for a single scenario, enter the solutions using a comma-separated
list. Round t-values to four decimal places.
Find the critical t-value(s) for a left-tailed test of
hypothesis for a mean, assuming the population standard deviation
is unknown, with a sample size of 25 and let α=0.005.
t=
Find the critical t-value(s) for a right-tailed test of
hypothesis for a mean, assuming...

The procedures for (1) determining confidence intervals to
estimate the mean and (2) hypothesis testing based on the
difference between one sample mean and a test value or on the
difference between two sample means both rely on sampling
distributions. Explain why sampling distributions are important for
each procedure.

A statement about a population parameter that is subject
to verification is a/an:
Probability Density Function
Normal Distribution
Hypothesis
Critical Value
Average Mean
The p-value in Hypothesis Testing is:
The z-score at which you would reject the null hypothesis.
the mean plus and minus the standard error.
The probability of the sample results if the null hypothesis is
true.
The difference between the mean and the z-score.
The z-critical value based on the confidence level desied.
When testing...

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