  ## The range of one data set is from 50 to 110. A quick estimate of the standard deviation is ______.

1. The range of one data set is from 50 to 110. A quick estimate of the standard deviation is ______. A. 5 B. 10 C. 40 D. 140   Answer; B. 10 2. When calculating the range, every item in the dataset is used in the calculation. A. True B. False Answer; B. False If … ## Which of these statements is NOT true regarding a randomized block design experiment?

Which of these statements is NOT true regarding a randomized block design experiment? A.) The elements are randomly allocated to treatment and control groups. B.) This design has an advantage of controlling for variables that might confound the response. C.) Elements are randomly selected from equal-sized blocks of the total population. D.) The sample is … ## In words, explain what is measured by each of the following:

In words, explain what is measured by each of the following: A. The Sum of Squares (ss) SS is a tool used in statistics. The SS is the sum of the squared deviations between a set of observations and a reference set, or it is an estimate of the variability within a set of samples. … ## Explain the difference between descriptive and inferential statistics. Choose the correct answer below.

Explain the difference between descriptive and inferential statistics. Choose the correct answer below.  A. Descriptive statistics describes sets of data. Inferential statistics draws conclusions about the sets of data based on sampling.  B. Descriptive statistics is a characteristic or property of an individual experimental unit. Inferential statistics is the process used to assign numbers to … ## The results of a confidence interval and significance test should agree as long as: (Select all that apply)

The results of a confidence interval and significance test should agree as long as: (Select all that apply) We are making inferences about means We are making inferences about proportions  The significance test is two-sided  Both are conducted on the same data set Answers; D. Both are conducted on the same data set A. We … ## Describe the difference between a statistic and a parameter. Which statement below describes the difference?

Describe the difference between a statistic and a parameter. Which statement below describes the difference?  A.                A parameter is computed from information gathered using a statistical sampling technique. A statistic uses information gathered using a nonstatistical sampling technique.  B.                  A parameter is a descriptive numerical measure computed from an entire population. A statistic is the … ## What are the values of the mean and standard deviation of a standard normal distribution?

What are the values of the mean and standard deviation of a standard normal distribution? (For each answer, enter an exact number.) u= σ = Explanation: Mean (u)=0 and Variance (σ )=1 of a standard normal distribution So standard deviation = √1=1 What is Normal Distribution? Normal Distribution is a bell-shaped curve generated by many different … ## Explain the difference between a stratified sample and a cluster sample

Explain the difference between a stratified sample and a cluster sample (select all that apply.) A. In a cluster sample, every sample of size n has an equal chance of being included.  B. In a stratified sample, every sample of size n has an equal chance of being included.  C. In a stratified sample, the … ## Why is Statistics Important in Nursing?

Statistics play a role in nearly every aspect of the nursing profession. From clinical research and evidence-based practice to healthcare administration and business operations, statistics is a relevant skill for nurses at all stages of their careers. For students studying statistics, we understand that statistics test can be really frustrating and that is why Needhomeworkhelp … ## Statistics in Everyday Life and Statistics Examples in Real Life

In a world driven by data, applying statistics in everyday life is an eternal reality that touches all aspects of the community. The field of statistics has existed for many years, but its impact has shot up recently due to the modern statisticians who use ultra-modern applications of statistics. Are you a student and worried …