TOPIC 8 Chi-Square goodness-of-fit test Problem 12.1 Use a chi-square goodness-of-fit to determine whether the observed frequencies are distributed the same as the expected frequencies (α = .05) Category | fo | fe | 1 | 53 | 68 | 2 | 37 | 42 | 3 | 32 | 33 | 4 | 28 | 22 | 5 | 18 | 10 | 6 | 15 | 8 | Step 1 Ho: The observed frequencies are distributed the same as the expected frequencies Ha: The observed frequencies are not distributed the same as the expected frequencies Step 2 df = k – m – 1 Step 3 α = 0.05 x 2 0.05, 5df = 11.0705 Step 4 Reject Ho if x 2 > 11.0705 Category | fo | fe | | 1 | 53 | 68 | | 2 | 37 | 42 | | 3 | 32 | 33 | | 4 | 28 | 22 | | 5 | 18 | 10 | | 6 | 15 | 8
If the condition is false, you need to execute a different set of statements. What structure will you use? I will use the “If” statement because it is a dual alternative decision structure. 3) If you need to a test the value of a variable and use that value to determine which statement or set of statements to execute, which structure would be the most straightforward to use? The case structure lets the value of a variable or an expression determine which path of execution the program will take.
D. 0.24 pu This relay TMS is often only wrongly calculated if errors were made on the settings of the other downstream relays. However, assuming the other relays are correctly set, beware to note the next available step of the TMS is required and to note the steps whether they are every 0.01pu or every 0.05pu. Correct Marks for this submission: 1.0/1.0.Question 7 Marks: 1.0 Now calculate the response time of Relay A for a fault current of 8075 A. Choose one answer. A.
due = downpayment – total 10. Write a pseudocode statement that multiplies the variable subtotal by 0.15 and assigns the result to the variable totalfee. First you must make the variables real numbers. example.Dim subtotal As Double = 0 The statement asked for in the question will appear as totalfee = subtotal *
Substitute. Solve. Check Conversions Units must agree. 2 types of conversions 1. metric to metric prefix line: EX: 2. english to metric Conversion Factor Conversion EX: Scientific Notation Place (.) after the first non zero digit -exponents make the number smaller (left) EX: +exponents make the number larger (right) EX: Addition, Subtraction, Multiplication, and Division of Scientific Notation 1.
“Another negative factor was a 6.6 percent drop, on an annualized basis, in federal defense spending.” She supports that the decrease in GDP is directly related to the decrease in government spending g which proves how fiscal policy can affect overall economic growth. Monetary policy can be defined as: A central banks changing of the money supply to influence interest rates and assist the economy in achieving price stability, full employment, and economic growth. The article discusses how decline in economic growth can in part be due to uncertainty of interest rates which is directly controlled by the Federal Reserve. The author supports this idea by showing that uncertainty of interest rates has affected business investments and the slowing of the housing
So, if we take random values for r2 between 0 and 1 then we will get different values of time intervals in weeks between successive breakdowns. 3. Lost revenue It is given that they charge $0.10 per copy and number of copies sold in one day follows a uniform probability distribution between 2000 and 8000 copies. Therefore, if we chose a random variable r3 whose value is in between 2000 and 8000 then the lost revenue will be 0.1×r3×repair time. By putting different values for r3, we can get a number of lost revenues by simulation method.
What is the effect size for this relationship, and what size sample would be needed to detect this relationship in future studies? This is between variables 3 and 7. It represents correlation between Positive Items and Avoidance. There is a weak correlation here because r < 0.3. The effect size is 0.15.
So the resolution error value would not be included in the precision uncertainty calculation. The equation of t- value is shown in below: (7) The degree of freedom was obtained by Equation 8. v=N-1 (8) The total random error was calculated by root sum of squares (RSS) shown below up=±upi2 (9) The bias error was equal to the bias error of instruments. ub=ubi2 (10) The total uncertainty was the square root of total random error square plus total bias square. ux= ub2+up2 (11) The total uncertainty could be found by using Partial Derivative Method. The general equation is shown below uρ=(∂ρ∂mum)2+(∂ρ∂lul)2+(∂ρ∂huh)2+(∂ρ∂wuw)2+(∂ρ∂dud)2 (12) The partial derivative for each variable is shown below: ∂ρ∂m=1hlw-πd24w (13) ∂ρ∂l=-hmw(hlw-πd24w)2
Torts Outline Geistfeld—Spring 2005 1) Intentional Torts a) Battery: i) Elements (1) A acts, (2) Intending to cause (a) Harmful contact with P or (b) Contact with P that is offensive and (dignitary harm—not always recognized) (3) A’s act causes such contact. ii) Difference between battery and negligence—negligence is when the D has wrong the P by failing to take sufficient care to avoid harming her. iii) Intent: will have to rely on circumstantial evidence, since mental states are not observable. (1) First issue is motive, but it generally does not matter, since why you did it is not relevant. We’re thinking about rules that govern interactions—objective rather than subjective standard.