Question
In: Statistics and Probability
Given the following contingency table, conduct a test for independence at the 1% significance level. (You...
Given the following contingency table, conduct a test for independence at the 1% significance level. (You may find it useful to reference the appropriate table: chi-square table or F table) Variable A Variable B 1 2 1 28 38 2 30 66 a. Choose the null and alternative hypotheses. H0: The two variables are independent.; HA: The two variables are dependent. H0: The two variables are dependent.; HA: The two variables are independent. b. Calculate the value of the test statistic
Solutions
orchestra answered 1 year agoRelated Solutions
1. Given the following contingency table, conduct a test for independence at the 1% significance level....
1.
Given the following contingency table, conduct a test for
independence at the 1% significance level. (You may find it
useful to reference the appropriate table: chi-square table or F
table)
Variable A
Variable B
1
2
1
31
32
2
34
58
Calculate the value of the test statistic. (Round
intermediate calculations to at least 4 decimal places and final
answer to 3 decimal places.)
2.
A market researcher for an automobile company suspects
differences in preferred color between...
How are the expected values calculated for the contingency table of a test if independence and...
How
are the expected values calculated for the contingency table of a
test if independence and what is the reason that this formula
works?
Conduct the following test at the alphaequals0.01 level of significance by determining (a) the null and...
Conduct the following test at the alphaequals0.01 level of
significance by determining (a) the null and alternative
hypotheses, (b) the test statistic, and (c) the P-value. Assume
that the samples were obtained independently using simple random
sampling. Test whether p 1 not equals p 2. Sample data are x 1
equals 28, n 1 equals 254, x 2 equals 38, and n 2 equals 302.
(a) Determine the null and alternative hypotheses. Choose the
correct answer below. A. Upper H...
Conduct the following test at the a=0.10 level of significance by determining (a) the null and...
Conduct the following test at the a=0.10 level of significance
by determining (a) the null and alternative hypothesis, (b) the
test statistic, and (c) the P-value. Assume that the samples were
obtained independently using simple random sampling.
Test whether p1 is not equal p2. Sample data are x1=30, n1=255,
x2=36, and n2=301
(a) Determine the null and alternative hypotheses.
A) H0: p1=p2 versus H1: p1<p2
B)H0: p1=0 versus H1: p1=0
C) H0: p1=p2 versus H1: p1 =/ (not equal) p2...
Conduct the following test at the a=0.10 level of significance by determining (a) the null...
Conduct the following test at the a=0.10 level of significance
by determining
(a) the null and alternative hypotheses,
(b) the test statistic
(c) the critical value. Assume that the samples were obtained
independently using simple random sampling.
Test whether p1≠p2. Sample data are x 1 = 28, n 1=
254, x 2 = 36, and n 2= 301
Consider the following contingency table, which you will use to conduct a χ2 (Chi2) test. Sociological...
Consider the following contingency table, which you will use to
conduct a χ2 (Chi2) test.
Sociological tidbit: participation in pre-K
(pre-school) has been shown to correlate with a LOT of
later-in-life positive outcomes - from elementary school
performance, to high school performance, to higher employment
rates, to higher incomes, and lower numbers of arrests over the
life course. Many sociologists of education agree that investing in
pre-K is a huge step towards reducing inequality in society [Source
(Links to an...
Conduct a t-test for statistical significance of the individual slope coefficients at the 1% level of significance.
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.727076179
R
Square
0.528639771
Adjusted R Square
0.525504337
Standard Error
3.573206748
Observations
455
ANOVA
df
SS
MS
F
Significance F
Regression
3
6458.025113
2152.67504
168.601791
2.7119E-73
Residual
451
5758.280717
12.7678065
Total
454
12216.30583
Coefficients
Standard Error
t Stat
P-value
Lower 95%
Upper 95%
Lower 99.0%
Upper 99.0%
Intercept
-0.250148858
0.359211364
-0.6963835
0.48654745
-0.9560846
0.45578693
-1.1793476
0.67904987
RBUK
0.025079378
0.023812698
1.05319345
0.29281626
-0.0217182
0.07187699
-0.0365187
0.08667745
RSUS
0.713727515
0.042328316
16.8617037
8.0578E-50
0.6305423
0.79691273
0.60423372
0.82322131...
1. Given the following data, test at the 0.05 level of significance to see if the...
1. Given the following data, test at the 0.05 level of
significance to see if the number of dogs treated at two different
vet clients differs. Assume variances are equal.
Clinic A (doges treated per 10 randomly selected day); 10, 11, 15,
4, 8, 9, 14, 5, 18, 20 Clinic B (dogs treated per 7 randomly
selected day): 11, 16, 15, 18, 14, 16, 18
2. Given the following data, test to see if the company with newer
technology has...
Conduct the following test at the α=0.01 level of significance by determining (a) the null and...
Conduct the following test at the α=0.01 level of significance
by determining (a) the null and alternative
hypotheses, (b) the test statistic, and
(c) the P-value. Assume that the samples were obtained
independently using simple random sampling.
Test whether p1≠p2.
Sample data are
x1=28, n1=254, x2=36,and n2=302.
(a) Determine the null and alternative hypotheses.
Choose the correct answer below.
A.
H0: p1=p2 versus H1: p1>p2
B.
H0: p1=p2 versus H1: p1<p2
C.
H0: p1=p2 versus H1: p1≠p2
D.
H0: p1=0...
Conduct the following test at the α=0.01 level of significance by determining (a) the null and...
Conduct the following test at the α=0.01 level of significance
by determining (a) the null and alternative
hypotheses, (b) the test statistic, and
(c) the P-value. Assume that the samples were obtained
independently using simple random sampling.
Test whether p1≠p2.
Sample data are
x1=28, n1=254, x2=36,and n2=302.
(a) Determine the null and alternative hypotheses.
Choose the correct answer below.
A.
H0: p1=p2 versus H1: p1>p2
B.
H0: p1=p2 versus H1: p1<p2
C.
H0: p1=p2 versus H1: p1≠p2
D.
H0: p1=0...
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