| Class interval | Frequency | Relative Frequency |
| 0.15-0.35 | 2 | 0.0625 |
| 0.35-0.55 | 5 | 0.15625 |
| 0.55-0.75 | 8 | 0.25 |
| 0.75-0.95 | 6 | 0.1875 |
| 0.95-1.15 | 6 | 0.1875 |
| 1.15-1.35 | 4 | 0.125 |
| 1.35-1.55 | 1 | 0.03125 |
Histogram A


Thirty-two people were chosen at random from employees of a large company. Their commute times (in...
Thirty-two people were chosen at random from employees of a large company. Their commute times (in hours) were recorded in a table (shown bellow). 0.4, 0.9, 0.3, 0.5, 0.7, 1.2, 1.1, 0.7 0.6, 0.5, 0.8, 1.1, 0.9, 0.2, 0.5, 1.0 0.9, 1.0, 0.7, 0.2, 0.6, 1.1, 0.7, 1.1 0.5, 1.3, 0.7,0.6, 1.0, 0.8, 0.5, 0.9 Construct a frequency table using a class interval width of 0.2 starting at 0.15. Class Interval Frequency 0.15−0.35 0.35−0.55 0.55−0.75 0.75−0.95 0.95−1.15 ...
Thirty-two people were chosen at random from employees of a large company. Their commute times (in hours) were recorded in a table (shown on the right) 0.4 0.8 0.3 0.5 0.6 1.4 10 06 0.7 1.2 0.9 1.0 10.8 0210.5 1.1 0.8 11 06 02 0.7 1.0 0.6 0.3 0.5 1.3 0.6 0.7 0.5 0.9 0.5 0.8 Construct a frequency table using a class interval width of O2 starting at 0.15 (Type integers or simplified tractions) Class Interval Frequency Relative...
GRF: Ground Reaction Forces
Jump Impulse:
Takeoff Velocity:
Jump-height:
An athlete did a vertical jump. The measured GRF is shown in the figure below. How high can she jump? 1300 1250 1200 1150 1100 1050 1000 950 900 850 GRF [N] 0 + 0.5 0.55 0.6 0.65 0.7 0.75 0.8 0.85 0.9 0.95 1 1.05 1.1 1.15 1.2 1.25 1.3 1.35 1.4 1.45 1.5 1.55 1.6 1.65 1.7 1.75 1.8 1.85 1.9 1.95 2 2.05 2.1 2.15 2.2 time [s]
The scores on the verbal section of a certain graduate school entrance exam have a mean of 153 and a standard deviation of 8.7. Scores on the quantitative section of the exam have a mean of 154 and a standard deviation of 8.9. Assume the scores are normally distributed. Students intending to study engineering in graduate school have a mean score of 178 on the quantitative section and a mean score of 156 on the verbal section. a. Find the...
The following are quality control data for a manufacturing process at Kensport Chemical Company. The data show the temperature in degrees centigrade at five points in time during a manufacturing cycle. Sample x R 1 95.72 1.0 2 95.24 0.9 3 95.18 0.9 4 95.48 0.4 5 95.46 0.5 6 95.32 1.1 7 95.40 1.0 8 95.44 0.3 9 95.08 0.2 9 10 10 95.50 0.6 11 95.80 0.6 12 95.22 0.2 13 95.60 1.3 14 95.22 0.5 15 95.04...
[Qe-Home/Lab -] From a swinging pendulum of m = 0.5Kg and length L = 0.6m (small angle approx.) complete the following tasks: (get it data from here, use speed data only) Qua) Compare the theoretical and observed pendulum's period (T) Qab) Estimate the maximum displacement angle. Show work. fx D E F B 1 2 3 4 5 6 7 8 9 10 11 12 Run #13 Run #13 Run #13 Run #13 Position (m) Velocity (m/s) Acceleration (Force (N)...
1st*variability is: in
control/out of control
2nd*no samples fall/one/two/more
3rd* in control/out of control
The following are quality control data for a manufacturing process at Kensport Chemical Company. The data show the temperature in degrees centigrade at five points in time during a manufacturing cycle. X Sample R 1 95.72 1.0 95.24 2 0.9 0.9 95.18 95.42 0.4 4 5 95.46 0.5 95.32 1.1 6 7 95.40 0.9 95.44 0.3 9 95.08 0.2 10 95.50 0.6 11 95.80 0.6 12...
there are 3 parts to this question. The weight is 100 grams.
[Q2-Home/Lab...) We attach a known weight (~100 gr) to a spring. By pulling down the spring by no more a couple of cm put it in oscillating mode. This experiment is described here [the screencast can be played in the PH 114-LABORATORY MANUAL, OSCILLALTIONS, UAH PHYSICS 2020-2021 classroom in mute as long as you keep an eye to spot the information you need]. Get the data from this...
Autocorrelation of an X(t) random process is Rxx (t1, t2) = 4e-t-t2 This a Gaussian process with mean zero. a) [6p] Is this process wide sense stationary? Briefly explain. b) [9p] Calculate the probability P (X(2)> 1) using the Table at the cover. c) [10p] Calculate approximately the probability P(X(2) > X(4) + 1). Some useful relations 1. Var(X(t)) = E({€)) - (E(X(t))) 2. R(X(t)X(t) = ELX(t-)X(02)]| 3. Var(X(c) +X)) = Var( (t) ) + Var (X (t2) - 2Cov(X...
The following results were obtained from an undrained shear box test carried out on a set of undisturbed soil samples. 0.2 0.8 Normal Load (N) Strain (%) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 0 21 46 70 89 107 121 131 136 138 138 137 136 0.4 Shearing force (N) 0 33 72 110 139 164 180 192 201 210 217 224 230 234 237 236 0 45...