A comparison distribution.... a) is the distribution of scores within a sample b) is the distribution...
A comparison distribution....
a) is the distribution of scores within a sample
b) is the distribution of a statistic that we would expect to see if the null hypothesis is false
c) tell us the probability of observing given values of a statistic at least as extreme as the one we have if the null hypothesis is true
d) provides a basis for judging whether an observed test statistic is unlikely to occur if the null hypothesis is true
e) is often a sampling distribution
**select all that apply
Homework Answers
Answer : (d) provides a basis for judging whether an observed test statistic is unlikely to occur if the null hypothesis is true
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A comparison distribution.... a) is the distribution of scores within a sample b) is the distribution...
1. A(n) _____________ is the distance between a score and the mean of the group of...
1. A(n) _____________ is the distance between a score and the mean of the group of scores. Variation ratio Standard deviation Dispersion Interquartile range Mean deviation score 2. The ___________ is a probability threshold or cutoff value used in hypothesis testing that signifies the level of risk we are willing to take in making a Type I error (i.e., false positive, or rejecting a true null hypothesis). binomial distribution conditional probability null hypothesis sampling distribution alpha level 3. Researchers commonly...
(6 points) For each problem, select the best response. (a) In testing hypotheses, which of the...
(6 points) For each problem, select the best response. (a) In testing hypotheses, which of the following would be strong evidence against the null hypothesis? A. Obtaining data with a large P-value. B. Using a small level of significance. C. Using a large level of significance. D. Obtaining data with a small P-value. (b) In formulating hypotheses for a statistical test of significance, the null hypothesis is often A. a statement of "no effect" or "no difference". B. the probability...
I. IF we do not reject the null hypothesis when the alternative hnthsinthen we have made...
I. IF we do not reject the null hypothesis when the alternative hnthsinthen we have made Type B error (b) Correct decision (e) Type I error (a) Type I1 error Use for Problems 2 and 3. The data below shows the top 10 teams' winning percentages (z) and powe ratings (u) for the 2013-2014 NCAA basketball season, according to vww.teasrankings.com bo 100.47 b 20.43 08330.694 2. Interpret the estimated slope of the line. (a) For a 1-game decrease in power...
For each problem, select the correct response. (a) What is the P-value of a test of...
For each problem, select the correct response. (a) What is the P-value of a test of the null hypothesis? A. The probability the null hypothesis is false B. The probability, assuming the null hypothesis is false, that the test statistic will take a value at least as extreme as that actually observed C. The probability the null hypothesis is true D. The probability, assuming the null hypothesis is true, that the test statistic will take a value at least as...
1. A ___________ is a statistical interval around a point estimate that we can provide a...
1. A ___________ is a statistical interval around a point estimate that we can provide a level of confidence to for capturing the true population parameter. population parameter confidence level point estimate confidence interval standard error of the mean 2. Which of the following best describe the standard error of the mean? It is the difference between an observed sample mean and the true population mean It is the statistical interval that provides a level of confidence around an observed...
To test Ho: = 50 versus H=50, a simple random sample of size n = 40...
To test Ho: = 50 versus H=50, a simple random sample of size n = 40 is obtained. Complete parts (a) through below Click the icon to view the table of critical t-values (a) Does the population have to be normally distributed to test this hypothesis by using t-distribution methods? Why? O A. No-there are no constraints in order to perform a hypothesis test. O B. No-since the sample size is at least 30, the underlying population does not need...
Why is the Central Limit Theorem useful? [Q8P5.3] a. Because when the conditions for the CLT...
Why is the Central Limit Theorem useful? [Q8P5.3] a. Because when the conditions for the CLT are met, it allows us to use a Normal distribution to approximate the distribution of the whole population, even if we don't know whether the population follows a Normal distribution. Because when the conditions of the CLT are met, it allows us to calculate the area in the tails of the population distribution and therefore the probability of obtaining an observation as or more...
TRUE or FALSE: Identify which of the following are valid statements and which ones are false. i. ...
TRUE or FALSE: Identify which of the following are valid statements and which ones are false. i. T F A ear odel is fit to a data set exhibiting a linear relationship. One of the data points is an outlier with respect to r, ie. its r-value is umisual compared to all other r-values but its y-value falls within the observed range of Y. Removing this data point likely change the estimated sample slope by a considerable amount ii. T...
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?...
The age distribution of the Canadian population and the age distribution of a random sample of...
The age distribution of the Canadian population and the age distribution of a random sample of 455 residents in the Indian community of a village are shown below. Age (years) Percent of Canadian Population Observed Number in the Village Under 5 7.2% 44 5 to 14 13.6% 74 15 to 64 67.1% 296 65 and older 12.1% 41 Use a 5% level of significance to test the claim that the age distribution of the general Canadian population fits the age...
(6 points) For each problem, select the best response. (a) In testing hypotheses, which of the following would be strong evidence against the null hypothesis? A. Obtaining data with a large P-value. B. Using a small level of significance. C. Using a large level of significance. D. Obtaining data with a small P-value. (b) In formulating hypotheses for a statistical test of significance, the null hypothesis is often A. a statement of "no effect" or "no difference". B. the probability...
I. IF we do not reject the null hypothesis when the alternative hnthsinthen we have made Type B error (b) Correct decision (e) Type I error (a) Type I1 error Use for Problems 2 and 3. The data below shows the top 10 teams' winning percentages (z) and powe ratings (u) for the 2013-2014 NCAA basketball season, according to vww.teasrankings.com bo 100.47 b 20.43 08330.694 2. Interpret the estimated slope of the line. (a) For a 1-game decrease in power...
To test Ho: = 50 versus H=50, a simple random sample of size n = 40 is obtained. Complete parts (a) through below Click the icon to view the table of critical t-values (a) Does the population have to be normally distributed to test this hypothesis by using t-distribution methods? Why? O A. No-there are no constraints in order to perform a hypothesis test. O B. No-since the sample size is at least 30, the underlying population does not need...
Why is the Central Limit Theorem useful? [Q8P5.3] a. Because when the conditions for the CLT are met, it allows us to use a Normal distribution to approximate the distribution of the whole population, even if we don't know whether the population follows a Normal distribution. Because when the conditions of the CLT are met, it allows us to calculate the area in the tails of the population distribution and therefore the probability of obtaining an observation as or more...
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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?...
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