Listed below are systolic blood pressure measurements​ (mm Hg) taken from the right and left arms of the same woman. Assume that the paired sample data is a simple random sample and that the differences have a distribution that is approximately normal. Use a 0.01 significance level to test for a difference between the measurements from the two arms. What can be​ concluded?   Right arm 142 143 123 133 139   Left arm 172 159 190 152 151   In this​ example, μd is the mean value of the differences d for the population of all pairs of​ data, where each individual difference d is defined as the measurement from the right arm minus the measurement from the left arm. What are the null and alternative hypotheses for the hypothesis​ test?     A. H0​: μd=0 H1​: μd≠0   B. H0​: μd≠0 H1​: μd=0   C. H0​: μd=0 H1​: μd<0   D. H0​: μd≠0 H1​: μd>0 Identify the test statistic.   t=   nothing ​(Round to two decimal places as​ needed.) Identify the​ P-value.   ​P-value=   nothing ​(Round to three decimal places as​ needed.) What is the conclusion based on the hypothesis​ test?   Since the​ P-value is ▼   less greater than the significance​ level, ▼   reject fail to reject the null hypothesis. There ▼   is is not sufficient evidence to support the claim of a difference in measurements between the two arms.

Which of the following are measures on positions of a data set? the maximum the standard deviation the third quartile a standard score the median

The following set of data represents the number of orders filled by a national-chain restaurant during a two week period. Construct a five number summary for the the data.   66, 75, 68, 89, 86, 73, 67, 75, 75, 82, 85, 74, 67, 61 (Round to the nearest hundredth, if needed).    Min _________________ Lower Quartile _________________ Median __________________ Upper Quartile _________________ Maximum __________________   What is the range and the interquartile range (IQR)?  Range __________________ Interquartile Range (IQR)  ___________________

Use the given data values​ (a sample of female arm circumferences in​ centimeters) to identify the corresponding z scores that are used for a normal quantile​ plot, then identify the coordinates of each point in the normal quantile plot. Construct the normal quantile​ plot, then determine whether the data appear to be from a population with a normal distribution. 33.9​, 37.9​, 43.8​, 32.8​, 40.1 Question content area bottom Part 1 List the z scores for the normal quantile plot.   Part A -List the z scores for the normal quantile plot.     Part B- Identify the coordinates of each point in the normal quantile plot. Use ordered pairs for the form​ (x,y), where x is the sorted arm circumferences in ascending​ order, and y is the corresponding z score.   Part C- Do the data come from a normally distributed​ population?

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Can someone please answer d.) e.) and f.)

Consider the following data: −10, −10, 0, 3, −10, 3, 3  Step 1 of 3: Calculate the value of the sample Variance. Round your answer to one decimal place. Step 2 of 3: Calculate the value of the sample deviation. Round your answer to one decimal place. Step 3 of 3: Calculate the value of the range.

How do I interpret the 6 characteristics whith the data given?   Column Mean Median Range Variance Std. dev. 1 - Cholesterol 253.92857 268 218 2276.291 47.710492

d and f only   do not understand how to calculate     Where are the deer? Random samples of square-kilometer plots were taken in different ecological locations of a national park. The deer counts per square kilometer were recorded and are shown in the following table. Mountain Brush Sagebrush Grassland Pinon Juniper 35 17 2 30 53 6 20 19 2 26 19 8 Shall we reject or accept the claim that there is no difference in the mean number of deer per square kilometer in these different ecological locations? Use a 5% level of significance. (a) What is the level of significance? State the null and alternate hypotheses. Ho: μ1 = μ2 = μ3; H1: All three means are different.Ho: μ1 = μ2 = μ3; H1: Exactly two means are equal.    Ho: μ1 = μ2 = μ3; H1: Not all the means are equal.Ho: μ1 = μ2 = μ3; H1: At least two means are equal. (b) Find SSTOT, SSBET, and SSW and check that SSTOT = SSBET + SSW. (Use 3 decimal places.) SSTOT =   SSBET =   SSW =   Find d.f.BET, d.f.W, MSBET,…

Please do 3 and 4.