When you run SPSS for hypothesis testing, how do we determine that there is a significant evidence for an alternative hypothesis? Is there an alternative way to draw the same conclusion?
There is a significant evidence for an alternative hypothesis when the p value for the test is less than 0.05
Another way of determining significance of alternative hypothesis is that accept Ha if the test statistic value is greater than the critical value for the given level of significance .
For eg., For a test of population mean, Accept Ha if tcal > tcrit
When you run SPSS for hypothesis testing, how do we determine that there is a significant...
Question: Hypothesis Testing test the following: Hypothesis Testing test the following: Determine if there is sufficient evidence to conclude the average amount of births is over 8000 in the United States and territories at the 0.05 level of significance. Sample Size is 52 (states and US territories) Mean: 6,869 Median: 6,869 Standard Deviation: 8,100 Minimum: 569 Maximum : 45,805 Clearly state a null and alternative hypothesis. Give the value of the test statistic. Report the P-Value. Clearly state your conclusion...
IPS 19 When testing for independence, what decision/conclusion can we make when the P-value is 0.03 and the significance level is 0.05? Enough evidence to conclude that the two variables are independent Reject the alternative hypothesis Enough evidence to conclude that the two variables are dependent Reject the null hypothesis
To be done on Anova (or not)
State the hypothesis that we are testing in this problem.
Set up the null and alternative.
Comment on the degree of freedom values for each source of
variation. How do you calculate them?
Do we reject the hypothesis that we are testing? Why or why
not?
If you reject, can you tell which level(s) is probably the
one(s) that has the different mean? (Hint: use the box plots from
part 1a
Use the...
A Type II error occurs in hypothesis testing when we _____________________________. fail to reject the null hypothesis and the null hypothesis is not true reject the null hypothesis and the null hypothesis is true fail to reject the alternative hypothesis and the alternative hypothesis is not true reject the alternative hypothesis and the alternative hypothesis is true
How do we determine if we reject or fail to reject a null hypothesis? What are the key pieces needed when writing a conclusion?
You've been assigned to do some hypothesis testing on the color of cars parked in the TCC parking lots. Your hypothesis testing will be based on using a proportion. Your think that the proportion of cars parked in the TCC parking lots are statistically the same as found throughout the world. Your instructions are to review 30 adjacent cars and determine the number of cars that are the color you were assigned. You have been assigned red color cars. Dupont...
1. a What is a hypothesis test? What is it used for? How are the null and alternative hypothesis determined? . What are the 3 ways to set up hypotheses? C. Why can't we "accept” a null hypothesis? d. How do we determine if we reject or fail to reject a nuil hypothesis? e. What are the key pieces needed when writing a conclusion? f. Describe the difference between statistically significant and practically significant.
. NEED ANSWER ASAP (Hypothesis testing) What do we need to consider when we try to select a test? Choose one of the tests; discuss your understandings of that test. Use some examples to demonstrate your understanding. NEW ANSWER NEVER USED BEFORE ANSWER THROUGHLY, COPY AND PASTE PLEASE
1) A food distributor is being sued for racial discrimination because 12% of newly hired candidates are not white when 53% of all applicants were not white. You plan to use hypothesis testing to determine whether there is significant evidence that the company's hiring practices are discriminatory. Part A: State the null and alternative hypotheses for the significance test. (2 points) Part B: In the context of the problem, what would a Type I error be? A Type II error?...
How do you know if a hypothesis test is testing the claim between 2 population proportions or 2 means? How is the test statistic for a claim about 2 population means, independent samples, standard deviations unknown, similar to the test statistic for 1 population mean, standard deviation unknown? If the difference between the 2 population means is not significant, which means the test statistic falls within the "usual" area of the distribution, what is the decision about the null hypothesis?...