the p value is (less then, greater then) the significance of =0.05, so (reject, fail to reject) the null hypothesis. there, (is, is not) sufficient evidence to support the claim that the fatality rate is higher for those not wearing seat belts.  Because the confidence interval limits, (include, do not include) 0, it appears that the two fatality rates are (equal, not equal) because the confidence interval limits include, (positive and negative, only positive, only negative) values it appears that the fatality rate is (lower, higher, the same) for those not wearing seat belts.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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the p value is (less then, greater then) the significance of =0.05, so (reject, fail to reject) the null hypothesis. there, (is, is not) sufficient evidence to support the claim that the fatality rate is higher for those not wearing seat belts. 

Because the confidence interval limits, (include, do not include) 0, it appears that the two fatality rates are (equal, not equal) because the confidence interval limits include, (positive and negative, only positive, only negative) values it appears that the fatality rate is (lower, higher, the same) for those not wearing seat belts. 

1. This question will use Excel to select random samples of varying sizes from a uniform
distribution on the interval 1 to 10. The goal is to demonstrate the effect of sample size
on the shape of the sampling distribution of the mean.
(a) Open the Excel and go to the DATA tab.
(b) Select Data Analysis on the ribbon. If Data Analysis is not available on the ribbon
you must install the Analysis Toolpak add-in (see Sakai-Resources-Excel).
* Load the Data Analysis ToolPak: Click the File tab, and then click Options.
Select Add-Ins on the left, click Analysis ToolPak in the list on the right, and
then in the Manage box, select Excel Add-ins. Click Go. Select Analysis ToolPak
and click Ok.
(c) You should now see the Data Analysis dialog box Select Random Number Generation
and click OK.
* for Number of Variables enter 2
* for Number of Random Numbers enter 50
* for Distribution select Uniform
* for Parameters enter Between 1 and 10
* for Output options Select New Worksheet Ply
* You will see 50 rows and 2 columns of numbers. The rows will be considered as
the random samples drawn from the uniform distribution on 1-10. In this case
this means that there are 50 samples each of size 2. In the first cell of the empty
column (cell C1 for this case) enter a formula to find the mean of your sample in
the first row. Drag the formula down to the end of the data, i.e. to row 50. The
50 means in column C1 become out first sample of means.
(d) Copy your means to a new worksheet. Use Excel to calculate the mean and standard
deviation of this sample. Create a histogram of the distribution of the sample of
means. For the histogram use boundaries 1, 2, 3 ...10. Refer to Assignment 1 for
directions on histograms
(e) Repeat Steps (c) and (d) three more times
Transcribed Image Text:1. This question will use Excel to select random samples of varying sizes from a uniform distribution on the interval 1 to 10. The goal is to demonstrate the effect of sample size on the shape of the sampling distribution of the mean. (a) Open the Excel and go to the DATA tab. (b) Select Data Analysis on the ribbon. If Data Analysis is not available on the ribbon you must install the Analysis Toolpak add-in (see Sakai-Resources-Excel). * Load the Data Analysis ToolPak: Click the File tab, and then click Options. Select Add-Ins on the left, click Analysis ToolPak in the list on the right, and then in the Manage box, select Excel Add-ins. Click Go. Select Analysis ToolPak and click Ok. (c) You should now see the Data Analysis dialog box Select Random Number Generation and click OK. * for Number of Variables enter 2 * for Number of Random Numbers enter 50 * for Distribution select Uniform * for Parameters enter Between 1 and 10 * for Output options Select New Worksheet Ply * You will see 50 rows and 2 columns of numbers. The rows will be considered as the random samples drawn from the uniform distribution on 1-10. In this case this means that there are 50 samples each of size 2. In the first cell of the empty column (cell C1 for this case) enter a formula to find the mean of your sample in the first row. Drag the formula down to the end of the data, i.e. to row 50. The 50 means in column C1 become out first sample of means. (d) Copy your means to a new worksheet. Use Excel to calculate the mean and standard deviation of this sample. Create a histogram of the distribution of the sample of means. For the histogram use boundaries 1, 2, 3 ...10. Refer to Assignment 1 for directions on histograms (e) Repeat Steps (c) and (d) three more times
c. What do the results suggest about the effectiveness of seat belts?
O A. The results suggest that the use of seat belts is associated with lower fatality rates than not using seat belts.
B. The results suggest that the use of seat belts is associated with higher fatality rates than not using seat belts.
C. The results suggest that the use of seat belts is associated with the same fatality rates as not using seat belts.
D. The results are inconclusive.
Transcribed Image Text:c. What do the results suggest about the effectiveness of seat belts? O A. The results suggest that the use of seat belts is associated with lower fatality rates than not using seat belts. B. The results suggest that the use of seat belts is associated with higher fatality rates than not using seat belts. C. The results suggest that the use of seat belts is associated with the same fatality rates as not using seat belts. D. The results are inconclusive.
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