The results of the t-test for zinnia height: p=0.381.Did these zinnia height results support the alternative hypothesis of this study?Yes, the zinnia were taller in the mycorrhizae soitNo, there was no statistical difference in zinnia heights between the soils.Question 14✓ SavedThe results of the t-test for zinnia weight: p=0.217.For zinnia weight, can we reject the null hypothesis of the study?Yes, zinnia weighed more in the mycorrhizae soilNo. We failed to reject the null hypothesis because no statistical difference wasfound in zinnia weight between the two soil types

The t test is used when we have to check significant difference between two meaningsand p value is…

Answered: The results of the t-test for zinnia…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.3: Measures Of Spread

Problem 1GP

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Snow avalanches can be a real problem for travelers in the western United States and Canada. A very common type of avalanche is called the slab avalanche. These have been studied extensively by David McClung, a professor of civil engineering at the University of British Columbia. Suppose slab avalanches studied in a region of Canada had an average thickness of u = 67 cm. The ski patrol at Vail, Colorado, is studying slab avalanches in its region. A random sample of avalanches in spring gave the following thicknesses (in cm). 59 51 76 38 65 54 49 62 68 55 64 67 63 74 65 79 (i) Use a calculator with sample mean and standard deviation keys to find x and s. (Round your answers to two decimal places.) X= cm S= cm (ii) Assume the slab thickness has an approximately normal distribution. Use a 1% level of significance to test the claim that the mean slab thickness in the Vail region is different from that in the region of Canada. (a) What is the level of significance? State the null and…
esign a study that uses a dependent samples t-Test design and a study that uses an independent samples t-Test. Be sure to base your two studies on the same general topic . 1) What's your independent samples t-test study? What's your dependent samples t-test study? Tell me your IV and how you would manipulate the IV, and your DV. This needs to be your own original study idea.
the assumption that the t test for independent samples makes regarding the amount of variability in each of the two groups is called the?
A genetics engineer was attempting to cross a tiger and a cheetah. She predicted a phenotypic outcome of the traits she was observing to be in the following ratio: 4 stripes only: 3 spots only: 9 both stripes and spots. When the cross was performed and she counted the individuals she found 50 with stripes only, 41 with spots only and 85 with both. According to the Chi-square test, did she get the predicted outcome?
The spike stature of the plants grown from the seeds of the porcine separates (Dactylis glomerata L) collected from the University campus and İbradı Eynif pasture are given below. In this plant, compare whether there is a difference between regions in terms of spike height. Virgo Height (cm) Data obtained from plants collected from university campus 5 6 8 7 8 6 5 5 4 6 6 Data obtained from plants collected from Eynif pasture 12 9 11 9 9 11 9 10 11 10 Note: Your results interpretation according to two different possibilities (Do it separately, assuming that it is 0.07 and 0.04).
A genetic expert was attempting to cross a tiger and a cheetah. She predicted a phenotypic outcome of the trait she was observing to be in the following ratio 4stripes:3spots:9 both stripes and spots. When the crossbreed was performed and she wanted the individual, she found 50 with stripes and only 41 with spots and 85 with both stripes and spots. Using the chi-square test confirm or reject predicted outcome given that the alpha level is equal to 0.05
A school nurse wants to determine if there is a significant relationship between the height and weight of students. The table below shows the height and weight given in cm and kg, respectively, of 10 students in a class. Test the hypothesis using 0.05 level of significance. Then, if possible, predict the estimated weight of a 180 cm-tall student.
Snow avalanches can be a real problem for travelers in the western United States and Canada. A very common type of avalanche is called the slab avalanche. These have been studied extensively by David McClung, a professor of civil engineering at the University of British Columbia. Suppose slab avalanches studied in a region of Canada had an average thickness of μ = 68 cm. The ski patrol at Vail, Colorado, is studying slab avalanches in its region. A random sample of avalanches in spring gave the following thicknesses (in cm). 59 51 76 38 65 54 49 62 68 55 64 67 63 74 65 79 (i) Use a calculator with sample mean and standard deviation keys to find x and s. (Round your answers to two decimal places.) x = cm s = cm (ii) Assume the slab thickness has an approximately normal distribution. Use a 1% level of significance to test the claim that the mean slab thickness in the Vail region is different from that in the region of Canada. (a) What is the level of significance?
Determine the kurtosis if the data given is a sample.
Can we please run a paired samples t-test for this problem? Can I see the data output?
Blood cocaine concentration (mg/L) was determinedboth for a sample of individuals who had died fromcocaine-induced excited delirium (ED) and for a sampleof those who had died from a cocaine overdose withoutexcited delirium; survival time for people in bothgroups was at most 6 hours. The accompanying datawas read from a comparative boxplot in the article“Fatal Excited Delirium Following Cocaine Use” (J.of Forensic Sciences, 1997: 25–31). ED 0 0 0 0 .1 .1 .1 .1 .2 .2 .3 .3.3 .4 .5 .7 .8 1.0 1.5 2.7 2.83.5 4.0 8.9 9.2 11.7 21.0Non-ED 0 0 0 0 0 .1 .1 .1 .1 .2 .2 .2.3 .3 .3 .4 .5 .5 .6 .8 .9 1.01.2 1.4 1.5 1.7 2.0 3.2 3.5 4.14.3 4.8 5.0 5.6 5.9 6.0 6.4 7.98.3 8.7 9.1 9.6 9.9 11.0 11.512.2 12.7 14.0 16.6 17.8 a. Determine the medians, fourths, and fourth spreadsfor the two samples.b. Are there any outliers in either sample? Any extremeoutliers?c. Construct a comparative boxplot, and use it as abasis for comparing and contrasting the ED andnon-ED samples.
The z-statistic for the difference between the tvlo sample proportions is 5.266 with a P- value of 0.00000014. What conclusion could you make about the difference between the two population proportions if the level of significance is set to 0.05? O The difference is not statistically significant because the sample proportion difference of 0.05 is equal to the significance level of 0.05 The difference is statistically significant because the P-value of 0.00000014 is less than the significance level of 0.05. O The difference is statistically significant because the z-statistic of 5.266 is greater than the significance level of 0.05. O The difference is not statistically significant because the significance level of 0.05 is greater than the P-value of 0.00000014.

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