A parameter estimate is said to be statistically significant if there is sufficient evidence that the...
A parameter estimate is said to be statistically significant if there is sufficient evidence that the
sample regression equals the population regression.
parameter estimated from the sample equals the true value of the parameter.
value of the t-ratio equals the critical value.
true value of the parameter does not equal zero.
Homework Answers
Option D is correct.
When the true value of parameter is equal to zero, the parameter is statistically insignificant.
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A parameter estimate is said to be statistically significant if
there is sufficient evidence that the...
Question 1 2 pts In regression analysis, an estimated coefficient is statistically significant when: the associated...
Question 1 2 pts In regression analysis, an estimated coefficient is statistically significant when: the associated p-value is close to 1. 0 the ratio of the standard error divided by the estimated coefficient is close to 0. the associated p-value is close to O the ratio of the estimated coefficient divided by the standard error is close to 0. Question 2 2 pts You are reading an academic paper where one of the estimated coefficients has a p-value of 0.0965...
a) A result is statistically significant if it is unlikely to occur by random chance alone. true or...
a) A result is statistically
significant if it is unlikely to occur by random chance
alone.
true or false
b) If a result is NOT statistically significant, that
means the chance model must be true.
true or false
c) there are always two possible explanations for the
statistics obtained from a sample. Select the two possible
explanations below.
Generalizability
Something is going on
Random chance
Sampling bias
d) what does the researcher's question, or what the
researcher thinks is true, determine?...
How do you determine if there is sufficient evidence or if there is a significant linear...
How do you determine if there is sufficient evidence or if there
is a significant linear correlation?
The accompanying table shows eleven altitudes (in thousands of feet) and the speeds of sound in feet per second) at these altitudes. Complete parts (a) through (d) below. Click here to view the data table. Click here to view the table of critical values for the Pearson correlation coefficient. (a) Display the data in a scatter plot. Choose the correct graph below. OA...
Which of the following is the correct conclusion for the hypothesis test? A. Do not reject Ho; the data do not provide sufficient evidence to conclude that x is useful for predicting y. O B. Reject H...
Which of the following is the correct conclusion for the hypothesis test? A. Do not reject Ho; the data do not provide sufficient evidence to conclude that x is useful for predicting y. O B. Reject Ho; the data provide sufficient evidence to conclude that x is useful for predicting y. ° C. Reject Ho, the data do not provide sufficient evidence to conclude that x is useful for predicting y. D. Do not reject Ho;the data provide sufficient evidence...
A simple linear regression equation, LNQ = a + bLNH + cLNS is estimated by a...
A simple linear regression equation, LNQ = a + bLNH + cLNS is estimated by a computer regression routine which produces the following output – see the information below. LNQ is the percentage change in the number of cars sold in a day; LNH is the percentage change in the number hours the dealership is open; and LNS is the percentage change in the number of sales persons working that day. The parameter estimates can be interpreted as the percentage...
Please give explanation................................................. Multiple Choice. Select the best response 1. An estimator is said to be...
Please give
explanation.................................................
Multiple Choice. Select the best response 1. An estimator is said to be consistent if a. the difference between the estimator and the population parameter grows smaller as the sample b. C. d. size grows larger it is an unbiased estimator the variance of the estimator is zero. the difference between the estimator and the population parameter stays the same as the sample size grows larger 2. An unbiased estimator of a population parameter is defined as...
(Reject, Fail to reject) H0. There is (sufficient , not sufficient) evidence... 60 seconds (is, is...
(Reject, Fail to reject) H0. There is
(sufficient , not sufficient) evidence... 60 seconds (is, is not)
correct. It (does not appear, does appear) that, as a group....
A group of students estimated the length of one minute without reference to a watch or clock, and the times (seconds) are listed below. Use a 0.10 significance level to test the claim that these times are from a population with a mean equal to 60 seconds. Does it appear that students...
The MINITAB printout shows a test for the difference in two population means. Two-Sample T-Test and...
The MINITAB printout shows a test for the difference in two population means. Two-Sample T-Test and CI: Sample 1, Sample 2 Two-sample T for Sample 1 vs Sample 2 N Mean StDev SE Mean Sample 1 6 28.00 4.00 1.6 Sample 2 9 27.86 4.67 1.6 Difference = mu (Sample 1) - mu (Sample 2) Estimate for difference: 0.14 95% CI for difference: (-4.9, 5.2) T-Test of difference = 0 (vs not =): T-Value = 0.06 P-Value = 0.95...
You want to obtain a sample to estimate a population proportion. Based on previous evidence, you...
You want to obtain a sample to estimate a population proportion. Based on previous evidence, you believe the population proportion is approximately p = 72%. You would like to be 99% confident that your esimate is within 5% of the true population proportion. How large of a sample size is required? n= Do not round mid-calculation. Use a critical value accurate to three decimal places.
1) You want to obtain a sample to estimate a population mean. Based on previous evidence,...
1) You want to obtain a sample to estimate a population mean. Based on previous evidence, you believe the population standard deviation is approximately σ=20.5σ=20.5. You would like to be 90% confident that your esimate is within 10 of the true population mean. How large of a sample size is required? n = Use a critical value accurate to three decimal places, and do not round mid-calculation — this is important for the system to be able to give hints...
Question 1 2 pts In regression analysis, an estimated coefficient is statistically significant when: the associated p-value is close to 1. 0 the ratio of the standard error divided by the estimated coefficient is close to 0. the associated p-value is close to O the ratio of the estimated coefficient divided by the standard error is close to 0. Question 2 2 pts You are reading an academic paper where one of the estimated coefficients has a p-value of 0.0965...
a) A result is statistically
significant if it is unlikely to occur by random chance
alone.
true or false
b) If a result is NOT statistically significant, that
means the chance model must be true.
true or false
c) there are always two possible explanations for the
statistics obtained from a sample. Select the two possible
explanations below.
Generalizability
Something is going on
Random chance
Sampling bias
d) what does the researcher's question, or what the
researcher thinks is true, determine?...
How do you determine if there is sufficient evidence or if there
is a significant linear correlation?
The accompanying table shows eleven altitudes (in thousands of feet) and the speeds of sound in feet per second) at these altitudes. Complete parts (a) through (d) below. Click here to view the data table. Click here to view the table of critical values for the Pearson correlation coefficient. (a) Display the data in a scatter plot. Choose the correct graph below. OA...
Which of the following is the correct conclusion for the hypothesis test? A. Do not reject Ho; the data do not provide sufficient evidence to conclude that x is useful for predicting y. O B. Reject Ho; the data provide sufficient evidence to conclude that x is useful for predicting y. ° C. Reject Ho, the data do not provide sufficient evidence to conclude that x is useful for predicting y. D. Do not reject Ho;the data provide sufficient evidence...
Please give
explanation.................................................
Multiple Choice. Select the best response 1. An estimator is said to be consistent if a. the difference between the estimator and the population parameter grows smaller as the sample b. C. d. size grows larger it is an unbiased estimator the variance of the estimator is zero. the difference between the estimator and the population parameter stays the same as the sample size grows larger 2. An unbiased estimator of a population parameter is defined as...
(Reject, Fail to reject) H0. There is
(sufficient , not sufficient) evidence... 60 seconds (is, is not)
correct. It (does not appear, does appear) that, as a group....
A group of students estimated the length of one minute without reference to a watch or clock, and the times (seconds) are listed below. Use a 0.10 significance level to test the claim that these times are from a population with a mean equal to 60 seconds. Does it appear that students...
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