Question
In: Statistics and Probability
If the test is done at a 5% level of significance, the null hypothesis should
n = 49
H0: μ = 50
x = 54.8
Ha: μ ≠ 50
σ = 28
If the test is done at a 5% level of significance, the null hypothesis should
a. not be rejected
b. be rejected
c. Not enough information given to answer this question.
d. None of the other answers are correct.
Solutions
orchestra answered 2 years agoRelated Solutions
For a two-tailed hypothesis test at the significance level alpha, the null hypothesis H0: μ =...
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...
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...
A hypothesis test with a 5% level of significance is designed to test the claim that...
A hypothesis test with a 5% level of significance is designed to
test the claim that the mean weight of a new breed of chickens is
greater than 6.00 pounds. A sample of 81 chickens is obtained and
their mean weight is 6.20 pounds with a sample standard deviation
of 0.50 pounds. No information is available concerning the standard
deviation of the whole population of the new breed. What is the
critical value (from Table A-3) and the test statistic...
The 5% (.05) significance level is the widely accepted criterion for Null Hypothesis Significance Testing. Discuss...
The 5% (.05) significance level is the widely accepted
criterion for Null Hypothesis Significance Testing.
Discuss some problems with using a strict cutoff to determine
whether your findings were significant. Discuss how you can make
sure that you are presenting your results more fairly/honestly. How
can a confidence interval help with estimating the practical
significance of your results?
Conduct a hypothesis test with a 5% level of significance on the claim that the average...
Conduct a hypothesis test with a 5% level of
significance on the claim that the average annual salary for a
registered nurse in the state of Washington in 2017 was $55,000.
Plainly state your null and alternative hypothesis, what type of
test you are using, and why.
Data:
61000, 57700, 120100, 8500, 55200,
53000, 40700, 48800, 33800, 50100,
40900, 56300, 56100, 34600, 2100,
42600, 2400, 48600, 21300, 52600,
87900, 29700, 43300, 33200, 41500,
47600, 79100, 38300, 8500, 112000,
10100, 79100,...
If the null hypothesis is rejected at the .05 level of significance, it will a. always...
If the null hypothesis is rejected at the .05 level of
significance, it will a. always not be rejected at the .10 level of
significance. b. always be rejected at the .10 level of
significance. c. sometimes be rejected at the .10 level of
significance. d. sometimes not be rejected at the .10 level of
significance.
Suppose you rejected a null hypothesis at 5% level of significance. Give your opinion as to...
Suppose you rejected a null hypothesis at 5% level of significance.
Give your opinion as to whether or not you would get the same level
of statistical significance if you were to do the experiment over
multiple times. Explain your response.
Give an example of a hypothesis test in which the significance level should be very small...
Give an example of a hypothesis test in which the
significance level should be very small and one that is not as
strict.
Explain the errors that could be made based on these
levels.
A null hypothesis is not rejected at a given level of significance. As the assumed value...
A null hypothesis is not rejected at a given level of
significance. As the assumed value of the mean gets further away
from the true population mean, the Type II error will
Conduct a test at the a = 0.05 level of significance by determining (a) the null...
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
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