Question

In: Math

Complete this vocabulary 1-p-hat 2-sample 3-chance model 4-Statistic ( not statistics ) 5-Simulate 6-Strength of evidence...

Complete this vocabulary

1-p-hat

2-sample

3-chance model

4-Statistic ( not statistics )

5-Simulate

6-Strength of evidence

7-Observational units

8-Variable

9-Parameter

10- Plausible

Solutions

Expert Solution

1. p-hat: We designate P to represent the proportion in the population. Because P is unknown and unknowable we use Phat to designate the proportion in the sample.

2.Sample: a representative part or a single item from a larger whole or group especially when presented for inspection or shown as evidence of quality

3.Chance model: A real or computerized process to generate data according to a well-understood set of conditions

4. statistic: a fact or piece of data obtained from a study of a large quantity of numerical data.

5.Simulate: To produce the features of something in a way that seems real but is not

The delegates were shown computer models used for simulating battle conditions.

6. strength of evidence:The quality of evidence indicates the extent to which one can be confident that an estimate of effect is correct. The strength of a recommendation indicates the extent to which one can be confident that adherence to the recommendation will do more good than harm.

7. Observational unit: An observation unit, sometimes also called statistical unit, is the entity on which information is received and statistics are compiled in the process of collecting statistical data.

8. Variable: A characteristic, number, or quantity that increases or decreases over time, or takes different values in different situations.

9. parameter: a numerical or other measurable factor forming one of a set that defines a system or sets the conditions of its operation.

10. Plausible : superficially fair, reasonable, or valuable but often specious


Related Solutions

Sample 1 Drink Sample 2 Sample 3 Sample 4 Sample 5 Sample 6 Time of day...
Sample 1 Drink Sample 2 Sample 3 Sample 4 Sample 5 Sample 6 Time of day 2.10pm 2.40pm 3.10pm 3.40pm 4.10pm 4.40pm Time interval (min) 76 30 30 30 30 30 Urination duration (s) 5 5 6 7 6 5 Urine volume (ml) 72 35 95 156 135 76 Urine flow rate (ml/sec) 14.4 7.0 15.8 22.3 22.5 15.2 Urine Production rate (ml/min) Na+ conc’n (mmol/litre) 120 43 12 11 16 17 Na+ excretion rate (mmol/min) Urine osmolality (mOsm/kg H2O)...
ID X Y 1 2 3 2 3 6 3 4 6 4 5 7 5...
ID X Y 1 2 3 2 3 6 3 4 6 4 5 7 5 8 7 6 5 7 7 6 7 8 8 8 9 7 8 10 12 11 Test the significance of the correlation coefficient. Then use math test scores (X) to predict physics test scores (Y).  Do the following: Create a scatterplot of X and Y. Write the regression equation and interpret the regression coefficients (i.e., intercept and slope). Predict the physics score for each....
Hour Sample 1 Sample 2 Sample 3 Sample 4 Sample 5 Sample 6 Sample 7 Sample...
Hour Sample 1 Sample 2 Sample 3 Sample 4 Sample 5 Sample 6 Sample 7 Sample 8 1 98.2706 98.82376 101.8175 100.1819 102.9594 101.165 95.25957 98.97423 2 100.7166 101.8866 98.56813 98.77126 101.8273 98.20298 101.6975 99.63706 3 98.9922 101.9845 103.7859 97.94211 100.9618 102.5191 97.33631 101.6476 4 103.2479 97.55057 105.5942 99.39358 99.57922 95.39694 96.26237 102.5666 5 100.403 99.99954 100.1254 100.21 93.46717 103.2011 100.1247 101.0385 6 97.26687 101.0598 96.30829 100.2402 98.07447 97.92167 102.4083 104.0686 7 101.2243 98.17466 99.66765 101.106 100.2891 99.37136 99.33442 95.24574...
Hour Sample 1 Sample 2 Sample 3 Sample 4 Sample 5 Sample 6 Sample 7 Sample...
Hour Sample 1 Sample 2 Sample 3 Sample 4 Sample 5 Sample 6 Sample 7 Sample 8 1 98.2706 98.82376 101.8175 100.1819 102.9594 101.165 95.25957 98.97423 2 100.7166 101.8866 98.56813 98.77126 101.8273 98.20298 101.6975 99.63706 3 98.9922 101.9845 103.7859 97.94211 100.9618 102.5191 97.33631 101.6476 4 103.2479 97.55057 105.5942 99.39358 99.57922 95.39694 96.26237 102.5666 5 100.403 99.99954 100.1254 100.21 93.46717 103.2011 100.1247 101.0385 6 97.26687 101.0598 96.30829 100.2402 98.07447 97.92167 102.4083 104.0686 7 101.2243 98.17466 99.66765 101.106 100.2891 99.37136 99.33442 95.24574...
[4 5 5 2 4 4 6 3 3 7 5 3 6 3 4 4...
[4 5 5 2 4 4 6 3 3 7 5 3 6 3 4 4 6 5 4 5 3 7 5 5 4 2 6 5 6 6] This is my dataset Find mean, median, mode, variance, standard deviation, coefficient of variation, range, 70th percentile, 3rdquartile of the data and skewness and define what each of these statistics measure. For example, mean is a measure of the central tendency, what about the rest? Use Chebyshev’s rule to find...
[4 5 5 2 4 4 6 3 3 7 5 3 6 3 4 4...
[4 5 5 2 4 4 6 3 3 7 5 3 6 3 4 4 6 5 4 5 3 7 5 5 4 2 6 5 6 6] This is my dataset Split the dataset in two equal parts. You have 30 datavalues. If you split the data in two equal parts each part will contain 15 data values.  Call the first part Y and second part X.Draw scatter plot of the 2 datasets, X being on the horizontal...
Let S = {1, 2, 3, 4, 5, 6, 7} be a sample of an experiment...
Let S = {1, 2, 3, 4, 5, 6, 7} be a sample of an experiment and let X = {1, 4, 7}, Y = {2, 3, 5}, and Z = {1, 3, 5} be events. Which of the following statements is correct? a) X and S are mutually exclusive events. b) X and Y are mutually exclusive events. c) X, Y, and Z are mutually exclusive events. d) Z and Y are mutually exclusive events. e) X and Z...
tens Units 1 5 2 3 4 8 5 2 5 6 9 6 1 3...
tens Units 1 5 2 3 4 8 5 2 5 6 9 6 1 3 5 4 7 9 7 0 0 4 5 6 9 9 8 1 3 5 6 8 9 9 0 1 2 3 5 9 The table represent a random sample of 31 test scores taken from a large lecture class. Find the following [round to 2 decimal points X. XX] a) [2 pts] Find the 5 number summary [L, Q1, Q2, Q3,...
X 1 3 5 3 4 4 Y 2 5 4 3 4 6 A: Plot...
X 1 3 5 3 4 4 Y 2 5 4 3 4 6 A: Plot the date B: find the line of best fit C: determine ŷ AT x=3 D: Find r and r^2 E: explain r and r^2
2. Consider functions f : {1, 2, 3, 4, 5, 6} → {1, 2, 3, 4,...
2. Consider functions f : {1, 2, 3, 4, 5, 6} → {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}. (a) How many of these functions are strictly increasing (i.e. f(1) < f(2) < f(3) < f(4) < f(5) < f(6))? Hint: How many different possibilities are there for the range of f? For each range of f, how many strictly increasing functions are there? (b) How many of these functions are non-decreasing (i.e. f(1) ≤ f(2) ≤...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT