Question

The higher the statistical significance the lower the probability of error True or False? The degrees...

The higher the statistical significance the lower the probability of error

True or False?

The degrees of freedom in a chi square test are determined based on sample size n

True or False?

Homework Answers

Answer #1
  • The higher the statistical significance the lower the probability of error

True

Higher values of α make it easier to reject the null hypothesis, so choosing higher values for α can reduce the probability of a Type II error.

  • The degrees of freedom in a chi square test are determined based on sample size n

    false

because,  The degrees of freedom for the chi-square are calculated using the following formula: df = (r-1)(c-1) where r is the number of rows and c is the number of columns

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
1 The probability of type II error becomes bigger if the level of significance is changed...
1 The probability of type II error becomes bigger if the level of significance is changed from 0.01 to 0.05. True False 2 Increasing the sample size reduces the probability of committing a Type I and Type II simultaneously. True False 3 In testing a hypothesis about a population mean with an unknown population standard deviation (σ ) the degrees of freedom is used in the denominator of the test statistic. True False 4 When a researcher fails to reject...
(a) standard error        (b) F-ratio                   (c) assumption      (d) degrees of freedom (e) null...
(a) standard error        (b) F-ratio                   (c) assumption      (d) degrees of freedom (e) null hypothesis      (f) control group         (g) experiment      (h) alternative hypothesis       (i) power                     (j) normal distribution (k) randomness     (l) directional test (m) effect size             (n) single-blind           (o) double-blind   (p) sampling distribution (q) Type I error           (r) Type II error          (s) Cohen’s d      (t) central limit theorem 1) The probability to reject the null hypothesis (when it is indeed false) refers to (   type I...
Determine if the statements below are true or false: The chi-square distribution, just like the normal...
Determine if the statements below are true or false: The chi-square distribution, just like the normal distribution, has two parameters, mean and standard deviation. The chi-square distribution is always right skewed, regardless of the value of the degrees of freedom parameter. The chi-square statistic is always positive. As the degrees of freedom increases, the shape of the chi-square distribution becomes more skewed. "If you found χ2 = 10 with df = 5, you would fail 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.
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.
3. There is a different t distribution for every hypothetical sample size. True or False 2....
3. There is a different t distribution for every hypothetical sample size. True or False 2. For a chi-square test, if the observed number of cases in your sample fits what you expect given your knowledge of the population, you would reject the null hypothesis. True or False 1. A two-tailed hypothesis will have more statistical power than a one-tailed hypothesis. True or False
Identify each of the following statements as either true of false. a)     FalseTrueClick for List    If the...
Identify each of the following statements as either true of false. a)     FalseTrueClick for List    If the null hypothesis is false, then large differences between the observed and expected values may exist. b)     FalseTrueClick for List    In a one-way table, each observed value can fall into only one of the given classifications. c)     FalseTrueClick for List    To determine the expected frequency for each cell, we multiply the total number of observations by the probability of an observation being in that particular cell. d)    ...
True of false: NH3 has a lower vapor pressure at -50 degrees c then NO. As...
True of false: NH3 has a lower vapor pressure at -50 degrees c then NO. As the polarity of a covalent compound increases, the solubility of the compound in CCl4 increases. Li F will have a higher vapor pressure at 25 degrees c than H2S.
QUESTION 1 The number of degrees of freedom for the appropriate chi-square distribution in goodness of...
QUESTION 1 The number of degrees of freedom for the appropriate chi-square distribution in goodness of fit test is A n − 1 B (r-1)(c-1) C a chi-square distribution is not used D k − 1 QUESTION 2 A goodness of fit test and test of independence is always conducted as a A upper-tail test B left-tail test C middle test D lower-tail test QUESTION 3 The number of degrees of freedom for the appropriate chi-square distribution in a test...
True or False? Show Proof. - Based on the normality assumption of ? ?? ? =...
True or False? Show Proof. - Based on the normality assumption of ? ?? ? = ? ∗ ? + ? , ? has a Chi-Square distribution. -If the assumptions in Classical Normal Linear Regression Model are true, for a model such as ? = ? + ? ? + ? , we use chi-square test to test hypothesis related to the parameters (?1, ?2), and t test to test hypothesis related to the variance of error (?2). - For...