4. Why would a researcher test a one-tailed vs. a two-tailed
hypothesis?
5. Why would it be impossible for a researcher to test the
following hypothesis using a t-test? H1: Female homicide offenders
are more likely to be sentenced to maximum security prison than
male homicide offenders.
6. If the null hypothesis in a t-test for two samples is not
rejected, what conclusion can be drawn about the two means of the
categorical variable?
7. Two groups of subjects participated...
1. Why would a researcher need to use a two-tailed test vs. a
one-tailed test?
2.A scholar tests the following
hypothesis: Females have a greater number of
delinquent peers than males. In her test, she
calculates a t value is -2.349. Why would it be
unnecessary to compare this test statistic to a critical t
value?
Consider using a one-tailed as well as a two-tailed test of a
null hypothesis regard- ing an estimated regression coefficient.
For the same significance level, which test is more stringent? In
other words, for which test does rejection of the null hypothesis
automatically imply rejection in the other test as well, but not
vice versa? Explain.
Describe the difference between a one tailed and a two tailed
test. What is the difference between a z test and a t test, and how
do you determine which one to use? Also, discuss when a two sample
test would be used, and provide an example.
Describe the difference between a one tailed and a two tailed
test. What is the difference between a z test and a t test, and how
do you determine which one to use? Also, discuss when a two sample
test would be used, and provide an example.
QUESTION 4
In which case would testing the null hypothesis not involve a
one-tailed statistical test? PLEASE PROVIDE BRIEF EXPLANATION!
H1: Incentive pay for teachers does affect student
achievement
H1: Higher sales tax rates does not reduce state tax
revenues
H1: Extending the duration of unemployment benefits does not
increase the length of joblessness
H1: Smoking does not reduce life expectancy
What is the p-value of a two-tailed one-mean
hypothesis test, with a test statistic of z0=0.27? (Do not round
your answer; compute your answer using a value from the table
below.)
z0.10.20.30.40.50.000.5400.5790.6180.6550.6910.010.5440.5830.6220.6590.6950.020.5480.5870.6260.6630.6980.030.5520.5910.6290.6660.7020.040.5560.5950.6330.6700.7050.050.5600.5990.6370.6740.7090.060.5640.6030.6410.6770.7120.070.5670.6060.6440.6810.7160.080.5710.6100.6480.6840.7190.090.5750.6140.6520.6880.722
In each of the following situations, is the alternative
hypothesis one-tailed or two-tailed? What are the hypotheses?
a) A soda company recently reformulated their diet cola in an
attempt to appeal to teenagers. They run a taste test to see if the
new formula appeals to more teenagers than the standard
formula.
b) A budget override in a small town requires a two-thirds
majority to pass. A local newspaper conducts a poll to see if
there's evidence it will pass....
For a two-tailed hypothesis test at the significance level
alpha, the null hypothesis H0: μ = μ0 will be rejected in favor of
the alternative hypothesis Ha: μ≠ μ0 if and only if μ0 lies outside
the (1 - α) level confidence interval for μ. Illustrate the
preceding relationship by obtaining the appropriate one-mean
z-interval for the data below.
Suppose the mean height of women age 20 years or older in a
certain country is 62.8 inches. One hundred randomly...
For a two tailed hypothesis test at the significance level a,
the null hypothesis H0: M=M0 will be rejected in favor of the
alternative hypothesis Ha: M does not = M0 lies outside the (1-a)
level confidence interval for M. Illustrate the preceding
relationship by obtaining the appropriate one mean t interval for
the data below.
According to a survey, the average person watched 4.53 hours of
television per day in 2005. A random sample of 20 people gave the...