Question

Q94: As you increase the number of subjects in your sample, the calculated value of a...

Q94: As you increase the number of subjects in your sample, the calculated

value of a t-test will

A.) increase B.) decrease C.) remain the same

Q95: As you decrease the true distance between the null and alternative hypotheses

(μ1 – μ0), the likelihood of rejecting the null hypothesis

  • A. increases
  • B. decreases
  • C. remains the same

Q96: Keeping everything else the same, if you were to decrease your alpha level

from .05 to .01, the likelihood of rejecting the null hypothesis

  • A. increases
  • B. decreases
  • C. remains the same
Math   Statistics-And-Probability   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

Answer:

94) As you increase the number of subjects in your sample, the calculated value of a t-test will

B) decrease

95) As you decrease the true distance between the null and alternative hypotheses (μ1 – μ0), the likelihood of rejecting the null hypothesis.

B) decrease

96) Keeping everything else the same, if you were to decrease your alpha level from .05 to .01, the likelihood of rejecting the null hypothesis.

A)  increases

NOTE:: I HOPE YOUR HAPPY WITH MY ANSWER....***PLEASE SUPPORT ME WITH YOUR RATING...

***PLEASE GIVE ME "LIKE"...ITS VERY IMPORTANT FOR ME NOW....PLEASE SUPPORT ME ....THANK YOU

0 0
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
P_1 A sample of n = 15 produces a single sample t statistic of t =...
P_1 A sample of n = 15 produces a single sample t statistic of t = - 2.12. If the researcher is using a two-tailed test for hypotheses testing, which of the following is the correct statistical decision? A. The researcher can reject the null hypothesis with α = .05 but not with α = .01. B. The researcher can reject the null hypothesis with either α = .05 or α = .01. C. It is impossible to make a...
Q45:      Which of the following do not factor into power? Sample size Alpha level Effect...
Q45:      Which of the following do not factor into power? Sample size Alpha level Effect size Heterogeneity of variance Q46: Keeping everything else constant, changing from α = .05 to α = .01 will             a.   increase power             b.   decrease power             c.   not change power             d.   have an unknown effect on power
As the sample size increases, the spread (dispersion) of the t-distribution Select one: a. increases. b....
As the sample size increases, the spread (dispersion) of the t-distribution Select one: a. increases. b. remains the same. c. none of these. d. decreases. If a null hypothesis is rejected at a significance level of .05, it ______ be rejected at a significance level of .01. Select one: a. may b. will always c. will never
In a 3 × 3 between-subjects ANOVA with 5 participants per cell, MSRows = 2.7, MSColumns...
In a 3 × 3 between-subjects ANOVA with 5 participants per cell, MSRows = 2.7, MSColumns = 10.5, MSInteraction = 13.2, and MSWithin = 2.5. What decision should the researcher make regarding the main effect represented in the rows? a) The null hypothesis can be rejected at the .10 alpha level, but not at the .05 or .01 alpha levels. b) The null hypothesis can be rejected at the .05 alpha level, but not at the .01 alpha level. c)...
Two random samples were independently generated from two populations, as follows below. The two populations share...
Two random samples were independently generated from two populations, as follows below. The two populations share the same variance of σ². X can be considered the control group and Y the treatment group. and    A. Find the likelihood function, i.e., the joint density function of X and Y. B. Derive the maximum likelihood estimates of μ1, μ2, and σ². C. Suppose the null hypothesis is μ1=μ2 and alternative hypothesis is μ1 μ2. Write the formula for calculating the likelihood of...
All else being equal, which of the following is true? a) As you increase the sample...
All else being equal, which of the following is true? a) As you increase the sample size, you will decrease the p-value. b) As you increase the standard deviation, the ? level will increase. c) As you increase the ? level, the p-value decreases. d) As the sample mean gets further from the mean, the p-value will increase.
1. As sample size, n, increases... a) Do you expect the likelihood of selecting cases or...
1. As sample size, n, increases... a) Do you expect the likelihood of selecting cases or observations with extreme/outlying values to decrease, stay the same, or increase? Explain briefly. b) Do you expect the range of sample values to decrease, stay the same, or increase? Explain briefly. c) Do you expect the sampling error to decrease, stay the same, or increase? Explain briefly.
PLEASE ANSWER 28 AND 29 28. Compared to the resting state, which is true of the...
PLEASE ANSWER 28 AND 29 28. Compared to the resting state, which is true of the cardiac cycle during exercise?     a. Even though heart rate increases, systole and diastole remain the same     b. Systole remains the same but diastole decreases.     c. Systole increases and diastole remains the same.     d. Both systole and diastole decrease, but there is a greater decrease in diastole.          29. The three principal mechanisms for increasing venous return during exercise are    a. an increase in stroke...
True or False 1. Hypothesis tests are robust to the significance level you choose, meaning regardless...
True or False 1. Hypothesis tests are robust to the significance level you choose, meaning regardless of the alpha level: .10, .05, or .01, our test will have the same conclusion or result. 2. If alpha is greater than the p-value, then we reject the null hypothesis. 3. The p-value is strictly the probability the null hypothesis being true. 4. Hypothesis tests are accessing the evidence provided by the data and deciding between two competing hypotheses about the population parameter....
1. Insofar as we must generalize from a sample to a population, the observed difference between...
1. Insofar as we must generalize from a sample to a population, the observed difference between the sample mean and the hypothesized population mean a) can't be interpreted at face value. b) might be due to variability or chance. c) might be real. d) is described by all of the above 2. The advantage of a one-tailed test is that it increases the likelihood of detecting a a) false null hypothesis. b) false null hypothesis in the direction of concern....
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT