Question
In: Statistics and Probability
A random sample of 853 births included 430 boys. Use a 0.10 significance level to test...
A random sample of 853 births included 430 boys. Use a 0.10 significance level to test the claim that 51.2 % of newborn babies are boys. Do the results support the belief that 51.2 % of newborn babies are boys?
Identify the null and alternative hypotheses for this test. Choose the correct answer below. A. Upper H 0 : pequals 0.512Upper H 1 : pnot equals 0.512 B. Upper H 0 : pequals 0.512Upper H 1 : pgreater than 0.512 C. Upper H 0 : pequals 0.512Upper H 1 : pless than 0.512 D. Upper H 0 : pnot equals 0.512Upper H 1 : pequals 0.512
Identify the test statistic for this hypothesis test. The test statistic for this hypothesis test is negative .-.46 (Round to two decimal places as needed.)
Identify the P-value for this hypothesis test. The P-value for this hypothesis test is _____
Please show step by step to find the P-value, I am getting really confused on how to do it.I need someone to explain how i used the z-score table method and the calculator method. Specifically please tell me what do I type in the calculator,
Solutions
orchestra answered 1 year agoRelated Solutions
A random sample of 821 births included 430 boys. Use a 0.01 significance level to test...
A random sample of 821 births included 430 boys. Use a 0.01
significance level to test the claim that 51.1% of newborn babies
are boys. Do the results support the belief that 51.1% of newborn
babies are boys? Identify the test statistic for this hypothesis
test.
A random sample of 862 births included 434 boys. Use a 0.10 significance level to test...
A random sample of 862 births included 434 boys. Use a 0.10
significance level to test the claim that 50.7%
of newborn babies are boys. Do the results support the belief
that 50.7%
of newborn babies are boys? Identify the test statistic for
this hypothesis test. Identify the P-value for this hypothesis
test. Identify the conclusion for this hypothesis test.
A random sample of 880 births included 433 boys. Use a 0.10 significance level to test...
A random sample of 880 births included 433 boys. Use a 0.10
significance level to test the claim that 50.8% of newborn babies
are boys. Do the results support the belief that 50.8% of newborn
babies are boys?
A random sample of 862862 births included 426426 boys. Use a 0.010.01 significance level to test...
A random sample of
862862
births included
426426
boys. Use a
0.010.01
significance level to test the claim that
50.850.8%
of newborn babies are boys. Do the results support the belief
that
50.850.8%
of newborn babies are boys?
Identify the null and alternative hypotheses for this test.
Choose the correct answer below.
A.
Upper H 0H0:
pequals=0.5080.508
Upper H 1H1:
pless than<0.5080.508
B.
Upper H 0H0:
pequals=0.5080.508
Upper H 1H1:
pgreater than>0.5080.508
C.
Upper H 0H0:
pequals=0.5080.508
Upper H 1H1:...
A random sample of 854 births included 431 boys. Use a 0.05 significance level to test...
A random sample of 854 births included 431 boys. Use a 0.05
significance level to test the claim that 51.4% of newborn babies
are boys. Do the results support the belief that 51.4% of newborn
babies are boys?
Identify the null and alternative hypotheses for this test.
Identify the test statistic for this hypothesis test.
Identify the P-value for this hypothesis test.
Identify the conclusion for this hypothesis test.
Do the results support the belief that 51.4% of newborn babies...
4. A random sample of 860 births at St. Jude’s Hospital included 426 boys. The national...
4. A random sample of 860 births at St. Jude’s Hospital included
426 boys. The national proportion of newborn boy babies is 51.2%.
Use a 0.01 significance level to test the claim that the proportion
of newborn boy babies at this hospital is different than the
national average.
a. Draw a normal curve for the sampling distribution for samples
of size 860 births. Label the mean and the values for one, two and
three standard deviations above and below the...
4. A random sample of 860 births at St. Jude’s Hospital included 426 boys. The national...
4. A random sample of 860 births at St. Jude’s Hospital included
426 boys. The national proportion of newborn boy babies is 51.2%.
Use a 0.01 significance level to test the claim that the proportion
of newborn boy babies at this hospital is different than the
national average.
a. Draw a normal curve for the sampling distribution for samples
of size 860 births. Label the mean and the values for one, two and
three standard deviations above and below the...
Test at the α = 0.05 significance level whether the mean of a random sample of...
Test at the α = 0.05 significance level whether the mean of a
random sample of size n = 16 is statistically significantly less
than 10 if the distribution from which the sample was taken is
normal, ?̅= 8.4 and ? 2 = 10.24. a) What is the appropriate test
you can use to test the claim? b) What are the null and alternative
hypotheses for this test? c) What is your conclusion? d) Find the
confidence interval on the...
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
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