Question

A smaller p value gives us stronger evidence against the null hypothesis. TRUE or FALSE and...

A smaller p value gives us stronger evidence against the null hypothesis.

TRUE or FALSE and explain briefly

The p value is the probability that the null hypothesis is true.

TRUE or FALSE and explain briefly

Math   Statistics-And-Probability   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

A smaller p value gives us stronger evidence against the null hypothesis.

TRUE

(because we reject the null hypothesis if p value is less than level of segnificance ,so as p value will be small it will give stronger evidence against H0.

The p value is the probability that the null hypothesis is true.

FALSE

(because p value is the probability that the test statistic is as extreme or more extreme than is actually observed, assuming the null hypothesis is true)

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
Consider the following statements. (i) The smaller the p-value, the stronger the evidence is in favor...
Consider the following statements. (i) The smaller the p-value, the stronger the evidence is in favor of the null hypothesis. (ii) The p-value forms the borderline between values of the test statistic that would result in rejecting the null hypothesis and values of the test statistic that would result in not rejecting the null hypothesis. (iii) The p-value is calculated under the assumption that the null hypothesis is true. Determine which of the above statements are true (1) or false...
T/F (4) If a sample gives strong enough evidence to reject the null at the 5%...
T/F (4) If a sample gives strong enough evidence to reject the null at the 5% level, it will also give strong enough evince to reject the null at the 1% level. (5) A smaller p value gives us stronger evidence against the null hypothesis.
True or False: The higher the level of significance of a hypothesis test, the stronger the...
True or False: The higher the level of significance of a hypothesis test, the stronger the evidence we require to reject the null hypothesis. True or False: The purpose of a hypothesis test is to assess the evidence in favour of the null hypothesis. True or False: The higher the p-value of a hypothesis test, the more evidence we have to reject the null hypothesis.
True or False: The higher the level of significance of a hypothesis test, the stronger the...
True or False: The higher the level of significance of a hypothesis test, the stronger the evidence we require to reject the null hypothesis. True or False: The purpose of a hypothesis test is to assess the evidence in favour of the null hypothesis. True or False: The higher the p-value of a hypothesis test, the more evidence we have to reject the null hypothesis.
1) The larger the chi-square statistic, the weaker the evidence against the null hypothesis. True or...
1) The larger the chi-square statistic, the weaker the evidence against the null hypothesis. True or False 2) The more similar the conditional distributions in a two-way table are, the larger the P-value of the chi-square test becomes. True or False
1. The P-value of a test of the null hypothesis is a. the probability the null...
1. The P-value of a test of the null hypothesis is a. the probability the null hypothesis is true. b. the probability the null hypothesis is false. c. the probability, assuming the null hypothesis is false, that the test statistic will take a value at least as extreme as that actually observed. d. the probability, assuming the null hypothesis is true, that the test statistic will take a value at least as extreme as that actually observed. 2. The P-value...
Assuming that the null hypothesis is true, a p-value is the probability of observing a sample...
Assuming that the null hypothesis is true, a p-value is the probability of observing a sample value as extreme as, or more extreme than, the observed sample observation. True or False
true or false? At the end of a hypothesis test, if P≥α then the null hypothesis...
true or false? At the end of a hypothesis test, if P≥α then the null hypothesis is accepted.
The P-value for a hypothesis test is given. Determine whether the strength of the evidence against...
The P-value for a hypothesis test is given. Determine whether the strength of the evidence against the null hypothesis is weak/none, moderate, strong, or very strong. P = 0.31 A) Strong B) Very strong C) Weak or none D) Moderate
True or False: For all hypothesis tests, a small p-value means we will reject the null....
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...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT