SECTION-A (18 Marks)
| |Select the correct answer. Cutting or over writing is not allowed. | | | |If in a table all possible values of a random variable are given with their corresponding probabilities, then its table is called as | | | |(a) Prob. Density function (b) Dist. function (c) Prob. Distribution (d) Continuous dist. | | | |A variable that can assume all possible values between two points is called.. | | | |(a) Discrete variable (b) Random variable | | | |(c) Continuous random variable (d) discrete sample space | | | |A formula or equation used to represent the probability distribution of a continuous random variable .. | | | |(a) Prob. Density function (b) Dist. function (c) Prob. Distribution (d) Continuous dist. | | | |If X is random variable and f(X) is the probability of X then the expected value of this random variable is equal to: | | | |(a)(f(X) (b) ([X+ f(X)] (c) (f(X) + X (d) (Xf(X) | | | |Which of the following is not possible in probability distribution | | | |(a) P(X) > 0 (b) (P(X)=1 (c) (XP(X) = 2 (d) P(X) = -0.5 | | | |If C is a constant in a continuous probability distribution, then P( X=C) is always equal to: | | | |(a) Zero (b) One (c) negative (d) impossible | | | |E [X – E(X)] is : | | | |(a) E(X) (b) 0 (c) Var(X) (d) S.D.(X) | | | |E [X – E(X)]2 is : | | | |(a) E(X) (b) E(X2) (c) Var(X) (d) S.D.(X) | | | |In a discrete probability distribution the sum of all the probabilities is always equal to | | | |(a) Zero (b) One (c) Minimum (d) Maximum | | | |The total area under the curve of a continuous probability density function is always equal to | | | |(a) Zero (b) One (c) -1 (d) None of them | | |...

...Normal(88.532,5.07943)
Normal(97.1033,5.04488)
Normal(107.15,5.15367)
Summary Statistics
Mean
88.532
Std Dev
5.0794269
Std Err Mean
0.2271589
Upper 95% Mean
88.978306
Lower 95% Mean
88.085694
N
500
Sum
44266
Summary Statistics
Mean
97.103333
Std Dev
5.0448811
Std Err Mean
0.2912663
Upper 95% Mean
97.676525
Lower 95% Mean
96.530142
N
300
Sum
29131
Summary Statistics
Mean...

...analysis, other decision making techniques are discussed. These techniques
include decision analysis, project scheduling and network models.
Chapter 1 illustrates a number of ways to summarise the information in data sets, also known as
descriptive statistics. It includes graphical and tabular summaries, as well as summary measures
such as means, medians and standard deviations.
Uncertainty is a key aspect of most business problems. To deal with uncertainty, we need a basic...

...Trajico, Maria Liticia D.
BSEd III-A2
REFLECTION
The first thing that puffs in my mind when I heard the word STATISTIC is that it was a very hard subject because it is another branch of mathematics that will make my head or brain bleed of thinking of how I will handle it. I have learned that statistic is a branch of mathematics concerned with the study of information that is expressed in numbers, for example information about the number of times...

...1. A density curve consists of a straight line segment that begins at the origin (0, 0) and has
slope of 1.
a. Sketch this density curve. What are the coordinates of the right endpoint of the segment?
(Note that the right endpoint should be fixed so that the total area under the curve is 1.
This is required for a valid density curve.)
b. Determine the median, the first quartile (Q1), and the third quartile (Q3).
...

... & DeVeaux
Chapter 1: Stats Starts Here Chapter 2: Data
Key Vocabulary:
Statistics data, datum variation individual respondent subject participant experimental unit observation variable
categorical quantitative
Calculator Skills:
enter data in a list change a datum
delete a datum name a new list clear a list delete a list
recreate a list copy a list
1. Name three things you learned about Statistics in Chapter 1.
2. The authors claim that...

...1. Introduction
This report is about the case study of PAR, INC. From the following book: Statistics for Business an Economics, 8th edition by D.R. Anderson, D.J. Sweeney and Th.A. Williams, publisher: Dave Shaut. The case is described at page 416, chapter 10.
2. Problem statement
Par, Inc. has produced a new type of golf ball. The company wants to know if this new type of golf ball is comparable to the old ones. Therefore they did a test, which consists out of 40...

...distributed, and its standard deviation is unknown. We want to test the following hypotheses: H0: µ=12 vs Ha: µ≠12. If the value of the test statistic is -1.73 based on a sample of size 20, what type of test statistic is it and what is the corresponding p-value?
a. z statistic; 0.0287
b. z statistic; 0.0574
c. t statistic; approximately 0.10
d. t statistic; approximately 0.05
12. The diameter of 3.5...

...the sample.
6. Measures of dispersion: range, the interquartile range, the variance, and the standard deviation. What do these measures tell you about the “spread” of the data? Why is it important to spend time performing basic descriptive statistics prior to conducting inferential statistical tests?
Variance of a sample = S2 = =
Standard Deviation of sample S=
Range is the difference between the highest and the lowest values (250-100) = 150...

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