You perform 1000 significance tests using a = 0.05. Assuming
that all null hypotheses are true,...
You perform 1000 significance tests using a = 0.05. Assuming
that all null hypotheses are true, about how many of the test
results would you expect to be statistically significant? Explain
how you obtained your answer.
To test the following hypotheses at the 0.05 level of
significance, using a sample size of
nequals=15.
H00
:
sigmaσsquared2equals=0.05
HSubscript Upper AA
:
sigmaσsquared2not equals≠0.05
What is the upper tail critical value? Round to three decimal
places as needed.
A.
27.488
B.
23.685
C.
26.119
D.
24.996
Conduct a test at the a = 0.05 level of significance by
determining (a) the null and alternative hypotheses (b) the test
statistic (c) the critical value, and (d) the P-value. Assume that
the samples were obtained independently using simple random
sampling.
1. Test whether p1 is not equal to p2.
Sample data: x1 = 804, n1 = 874,
x2 = 902, n2 = 954
For each of the following tests of hypotheses, determine whether
the null hypotheses should be rejected. Use the classical method by
finding the lower xL and upper xU limits for two-tail tests (or one
of the two for a one-tail test). Additionally, don't forget to use
a t-value (rather than a z-value) when n<30.
A) Ho: µ = 6,000 Ha: µ ≠ 6,000; n = 70; x = 6,150; σ = 2,600; α
= .01
B) Ho: µ = 50...
Test the given claim using the α=0.05 significance level and
assuming that the populations are normally distributed and that the
population variances are equal.
Claim: The treatment population and the placebo population have the
same means.
Treatment group: n=9, x¯=110, s=5.9.
Placebo group: n=7, x¯=116,s=5.7.
The test statistic is =___________
The positive critical value is =__________
The negative critical value is =________
Is there sufficient evidence to warrant the rejection of the claim
that the treatment and placebo populations have...
What is the decision at a 0.05 level of significance for each
of the following tests? Hint: Find the critical value for
each test; then make a decision. (Round your critical values to two
decimal places.)
F(3, 28) = 2.98
F(5, 17) = 2.63
F(2, 10) = 4.02
F(4, 33) = 2.69
What is the decision at a 0.05 level of significance for each
of the following tests? Hint: Find the critical value for
each test; then make a decision. (Round your critical values to two
decimal places.)
F(3, 26) = 3.00
Fcrit =
F(5, 15) = 2.67
Fcrit =
F(4, 38) = 2.66
Fcrit =
F(2, 10) = 4.04
Fcrit =
What is the decision at a 0.05 level of significance for each
of the following tests? Hint: Find the critical value for
each test; then make a decision. (Round your critical values to two
decimal places.)
Part (a)
F(3, 26) = 3.01
Fcrit =
Retain the null hypothesis. Reject the null
hypothesis.
Part (b)
F(5, 24) = 2.41
Fcrit =
Retain the null hypothesis. Reject the null
hypothesis.
Part (c)
F(4, 33) = 2.70
Fcrit =
Retain the null hypothesis....
What is the decision at a 0.05 level of significance for each of
the following tests? Hint: Find the critical value for
each test; then make a decision. (Round your critical values to two
decimal places.)
Part (a)
F(3, 27) = 3.03
Fcrit =
Retain the null hypothesis.
Reject the null hypothesis.
Part (b)
F(5, 24) = 2.46
Fcrit =
Retain the null hypothesis.
Reject the null hypothesis.
Part (c)
F(4, 33) = 2.70
Fcrit =
Retain the null hypothesis....
The following questions require that you conduct appropriate
tests of the null hypotheses outlined in each question using an
a=0.05 significance level. In all cases you are expected to use the
appropriate inferential statistical test available in the Excel
data analysis tool pack. Questions requiring a post hoc means
comparison test (ie Scheffe’s or Tukey’s HSD test) are worth 20
marks, otherwise they are worth 10 marks.
A researcher is attempting to determine whether significant
differences exist between the mean...