2. What is the area of z = - 1.21 ?
A. 0.3665
B, 0.3869
3. What is the equivalent z-score of P_{23} ?
A. 0.67
B. plus/minus 1.29
4. What is the area of below z=2.11?
A. 0.4826
B. 0.0174
C. 0.4821
C, plus/minus 0.68
C. 0.9826
5. What is the area between the z-score z = - 3.03 and z = 1.32 ?
A. 0.0922
B. 0.4066
C. 0.4988
D. 0.4826
D. pm1.28
D. 0. 5174
D. 0.9054
let x1, x2... xn be Bernoulli variables with parameter p. what is the method of moments estimator of p
A. The following numbers are the number found at the left side and upper part of
the table. Identify the number that lies on the intersection between the given set
of numbers. Use the Table of the Area Under Normal Curve indicated at the last
page of this module
1. -1.6 and 0.09 = ________
2. 1.0 and 0.07 = _________
3. 1.1 and 0.06 = _________
4. 0.5 and 0.08 = _________
5. 1.0 and 0.00 = _________
Three airlines serve a Srinagar, Airline “Amira” has 50% of all the scheduled flights, airline “Biyas” has 30% and airline “ Chinar “ has the remaining 20% .Their own time rate are 80% , 65% and 40% respectively.
· Draw the probability tree diagram
· A plane has just left on time. What is the probability that it was airline “ Amira”
Conduct a survey involving two
variables with at least 15 respondents. Put the data in a table identifying the
independent and dependent variables, then construct a scatter plot. As part of your
advance study, determine the shape, trend, and variation of the variables involved.
according to its label, each coffee bag in a box contains 4g of coffee powder.in actual fact, the mass of coffee powder per bag has a mean 4.05g and a standard deviation of 0.05g. assuming that the mass of coffee powder in each bag is distributed normally, calculate the expected number of coffee bags which contain 3.95g to 4.10g of coffee powder in a box of 300 bags.
Form a group of five students in your class. Determine the
General Math average of the members of the group. List them.
Use a separate sheet of paper.
1. List all possible samples of size 2 and their corresponding means.
2. Construct the sampling distribution of the sample means.
3. Calculate the mean of the sampling distribution of the sample means. Compare this to the mean of the population.
4. Calculate the standard deviation of the sampling distribution of the sample means. Compare this to standard deviation the mean of the population
The main purpose of statistics is to test theories or results
from experiments. For example,
You might have invented a new fertilizer that you think makes
plants grow 50% faster.
In order to prove your theory is true, your experiment must:
a. Be repeatable
b. Be compared to a known fact about plants (In this example,
probably the average growth rate of plants without the fertilizer).
The rejection region (also called a critical region) is a part of the
testing process. Specifically, it is an area of probability that tells you if
your theory (hypothesis) is probably true.
=> Illustrate the rejection region(s), using your invented fertilizer
data aforementioned for the following questions:
1. Is the average growth rate greater than 10cm a day?
2. Is the average growth rate less than 10cm a day?
3.Is there a difference in the average growth rate in both directions
(greater than and less than)?
(Probability Distribution)
(Distribution Probability)