Question

For a one-tail (lower) test for a single population, we do not reject the null if the test statistic is greater than or equal to the negative of the critical value.

True or false

Answer #1

Answer: True

Explanation:

We know that we reject the null hypothesis when the absolute test statistic value is greater than the absolute critical value. This means, if the test is an upper tailed or right tailed, then we reject the null hypothesis if test statistic is greater than the critical value. If the test is a lower tailed or left tailed, then we reject the null hypothesis if test statistic value is less than the negative of the critical value; and we do not reject the null hypothesis if the test statistic is greater than or equal to the negative of the critical value.

For a one-tail (lower) hypothesis test, if the z- or t-test
statistic exceeds the critical value, we do not reject the null
hypothesis.
Select one:
True
False

We have a left tail one sample test for the population mean.
Assume the null hypothesis is true. Use 4% for the significance
level. The sample size is 27, the sample mean is 32.8, the sample
standard deviation is 4.1, and the null mean is 35.
The test result is (a) a correct decision (b) a Type I error (c)
a Type II error 3.
The test statistic value for the previous problem is

In a one-tail hypothesis test where you reject Upper H 0 only
in the lower tail, what is the p dash value if upper Z subscript
STAT baseline equals negative 1.05?

1. p-value is the smallest area under the curve in which we
would reject the null hypothesis. True or false.
2. For a one tail test, we divide the level of significance
(alpha) by 2 to calculate the critical value. True or false.
3. A p-value can be calculated by the area under the curve to
the left of Z when Z is less than the mean. True or false.
4. A respondent to a survey indicates that she drives...

1. A null hypothesis states that there is
A. No significant difference between a population parameter and
sample statistic.
B. A significant difference between a population parameter and
sample statistic.
C. The difference between the population parameter and sample
statistic is significant and can be attributed to sampling
error.
D. The difference between the population parameter and sample
statistic is insignificant and cannot be attributed to sampling
error.
E. None of the above
2. An alternative hypothesis states that there...

In
a one tail hypothesis test where you tehect Ho only in the lower
tail what us the critical value of the Tstat test statistic w/ 26
degrees of freedom at the .01 level if significance? (Round to 4
decimal places)

If we know the population standard deviation, we can use which
table to do a hypothesis test?
Group of answer choices
Z-table
T-table
Critical table
Significant table
In the critical value approach, to make a decision, we compare
the critical value with the:
Group of answer choices
Test statistic
p-value
Hypothesized value
Population parameter
In the critical value approach, if we are doing a two-tailed
test, we do not know the population standard deviation, and we find
that the test...

PROVIDING STEPS:
(a) Suppose we are performing a one-sample t test at the 10%
level of significance where the hypotheses are H0 : µ = 0 vs H1 : µ
ƒ= 0. The number of observations is 15. What is the critical
value?
(b) Suppose we are performing a one-sample t test with H0 : µ =
0 vs H1 : µ > 0. The test statistic, 1.31, was found to be
wrongly calculated. The correct test statistic should be...

For each of the following statements, identify whether the
statement is true or false, and explain why. Please limit each
response to no more than 3 sentences.
i) A p-value is the probability that the null hypothesis is
false. ii) A chi-square test statistic can never be negative.
iii) If we reject the null hypothesis that a population
proportion is equal to a specific value, then that specific value
will not be contained in the associated confidence interval.
iv) If...

True or False: For all hypothesis tests, a small p-value means
we will reject the null.
True or False: If you are testing the means of two groups, then
you would use ANOVA.
True or False: A two-sample confidence interval must capture
zero to show the groups are different.
True or False: The test statistic for ANOVA is the
f-statistic.
True or False: For Chi-Square tests, if the observed counts and
expected counts are extremely different, then we would have...

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