Based on this p value can we reject the null hypothesis?? StatKey Randomization Test for a Difference in ProportionsCustom Data ▾ Edit DataCandomization method ReallocationGenerate 1 Sample Generate 10 Samplesandomization Dotplot of - Null Hypothesis: P1 = P200000D-0.301Left TailwwwTwo-Tail✔ Right Tail-0.20-0.1048Generate 100 Samples Generate 1000 Samples0.00null = 00.10NOV0.02510.200.180Reset Plotsamples-5000mean = 0.0011std. error=0.0990.30Original SampleGroupGroup 1Group 2Group 1-Group2CountGroup2415Group 1Group 2Group 1-Group29Randomization SampleCount2613StatKey v. 3.0.3 is written in JavaScript and should work well with any current browser including Chrome, Firefox, Safari, Opera, and Edge.StatKey contains accessibility features, including screen reader support and keyboard navigation.Comments, feedback, accessibility issues, and bug reports can be sent to lock5stat@gmail.com.altAO13SampleSize5050n/aSampleSizeProportion5050n/a0.4800.3000.180Proportion0.5200.2600.260Presentation ModOFF

The test for a difference in proportions output is given.

Answered: Based on this p value can we reject the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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What values of F indicate that the null hypothesis is true?
When is a researcher at risk of making a Type II error? a. whenever H0 is rejected b. whenever H1 is rejected c. whenever H0 fails to be rejected d. The risk of a Type II error is independent of the decision from a hypothesis test.
Provide an appropriate response. If we fail to reject the null hypothesis when the null hypothesis is false, then we have made a Type B error Type I error Correct decision Type II error
Which of the following is an example of a Type 2 error? Rejecting a false null hypothesis. Rejecting a true null hypothesis. Failing to reject a false null hypothesis. Failing to reject a true null hypothesis.
A scientist has read that the mean birth weight, u, of babies born at full term is 7.5 pounds. The scientist, believing that u is different from this value, plans to perform a statistical test. She selects a random sample of birth weights of babies born at full term and finds the mean of the sample to be 7.9 pounds and the standard deviation to be 1.6 pounds. Based on this information, answer the questions below.
A credit card company claims that the mean credit card debt for individuals is greater than $5,100. You want to test this claim. You find that a random sample of 32 cardholders has a mean credit card balance of $5,242 and a standard deviation of $575. At a = 0.01, can you support the claim? Complete parts (a) through (d) below. Assume the population is normally distributed. (a) Write the claim mathematically and identify Ho and H2. Which of the following correctly states H, and H,? O A. Ho: µ> $5,100 Ha: us $5,100 В. Но: и- $5,100 Hai µ > $5,100 С. Но: 3 $5,100 Ha: u# $5,100 O D. Ho: µ2 $5,100 Ha:u $5,100 Ha: us $5,100 Ο F H0: μS $5,1 00 Ha: µ > $5,100 (b) Find the critical value and identify the rejection region. What is the critical value, to? to = 0 (Use a comma to separate answers as needed. Round to three decimal places as needed.) Determine the rejection region. Select the correct choice below and fill in the ansswer box within your choice. (Round to three decimal places as…
Several recent studies have suggested that people who suffer from abnormally high blood pressure can benefit from regular exercise. She conducts a small sample of 3 random patients with high blood pressure and measures blood pressure before and after the exercise program. Subject Before After 1 155 133 2 160 140 3 145 120 Conduct a test to see if the claim is supportive. State the hypotheses from the previous problem. (high blood pressure problem)
You watch people exiting Dodgers stadium after a game and you write down the number of males and the number of females that exit the stadium past you during the 20 minutes that you spend watching. You assumed that there would be a perfectly equal number of males and females attending a Dodgers game, but you look at the number of males and females that you actually counted, and you see if you still think that is actually true. What kind of hypothesis test would allow you to do this? a. One-Factor, Independent-Measures ANOVA b. Two-Factor ANOVA c. Correlation/Regression d. Chi-Square Goodness of Fit
Which statement describes a Type II Error? Fail to reject the null hypothesis H0, when H0 is actually true Reject the null hypothesis H0, when H0 is actually true Fail to reject the null hypothesis H0, when H0H0 is false Reject the null hypothesis H0, when H0 is actually false
Which of the following statements is true if when using null hypothesis testing, our p value (in the "sig" column of SPSS output) is 0.051? Reject the null hypothesis Fail to reject the null hypothesis Reject the alternative hypothesis Fail to reject the alternative hypothesis
Number 1
What type of error(s) occur(s) when we reject the null hypothesis when the null hypothesis is true? OA. Type 1 Error OB. Type II Error OC. Both Type I and Type II Errors OD. Neither Type I nor Type II Error

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