The grouping of particles in a suspension is 50 for each mL. A 5 mL volume of the

suspension is removed.

a. What is the likelihood that the quantity of particles removed will be among 235 and

265?

b. What is the likelihood that the normal number of particles per mL in the pull out example

is somewhere in the range of 48 and 52?

c. In the event that a 10 mL test is removed, what is the likelihood that the normal number per mL

of particles in the removed example is somewhere in the range of 48 and 52?

d. How huge an example should be removed with the goal that the normal number of particles per mL in

the example is somewhere in the range of 48 and 52 with likelihood 95%?

In an arbitrary example of 100 batteries created by a specific technique, the normal

lifetime was 150 hours and the standard deviation was 25 hours.

(I) Find a 95% certainty span for the mean lifetime of batteries created by this

model.

(ii) Find a 99% certainty span for the mean lifetime of batteries created by this

model.

(iii) A designer asserts that the mean lifetime is somewhere in the range of 147 and 153 hours. With what

level of certainty can this assertion is made?

(iv) Approximately the number of batteries should be inspected with the goal that a 95% certainty

stretch will indicate the intend to inside 2 hours?

(v) Approximately the number of batteries should be examined so a 99% certainty

stretch will determine the intend to inside 2 hours

A Company scientist has been given the assignment of gathering data pretty much all representatives

inside the organization to more readily comprehend the adequacy of their advanced education pathway

program offered to all representatives. The likelihood that a worker has been at the organization

at least five years is 0.74, the likelihood that a representative has a Master's level certificate or

higher is 0.34, and the likelihood that an arbitrarily chosen worker has been at the organization

at least five years and has a Master's certificate is 0.12.

F. Of the individuals who have a graduate degree 35.29% have been at the organization at least 5 years

while those with lower degrees 93.94 % have been at the organization at least 5 years. Make a likelihood tree portraying the present circumstance.

Thank you kindly for responding to me. Would you be able to kindly answer the (iv) and (v) sub parts.

In an irregular example of 100 batteries delivered by a specific strategy, the normal

lifetime was 150 hours and the standard deviation was 25 hours.

(I) Find a 95% certainty span for the mean lifetime of batteries created by this

model.

(ii) Find a 99% certainty span for the mean lifetime of batteries created by this

model.

i21i

(iii) An architect guarantees that the mean lifetime is somewhere in the range of 147 and 153 hours. With what

level of certainty can this assertion is made?

(iv) Approximately the number of batteries should be tested with the goal that a 95% certainty

span will determine the intend to inside 2 hours?

(v) Approximately the number of batteries should be tested with the goal that a 99% certainty

span will determine the intend to inside 2 hours?

Question 1 a) Discuss how statistical data can support policy making b) Examine a dichotomy between qualitative and quantitative data in research c) What is your view on the significance of descriptive and inferential statistics? You are required to use the data provided in Table 1.0 to determine: d) The modal price in $US e) The standard deviation f) The skewness of frequency distribution and explain the significance of the results in terms the direction of your findings. AN (6 marks) Explain the significance of your answer in each case. Table 1.0 Price ($US) Frequency 1.0-1.01 4 1.05-1.09 6 1.10-1.14 10 1.15-1.19 15 1.20-1.24 8 1.25-1.29 5Homework: Chapter 1 Assignment Score: 0 of 1 pt 13 of 15 (12 complete) 1.EOC.25 Identify the following as either descriptive or inferential statistics. The average salary of a random sample of 100 high school teachers in 2010 was less than the average salary of a random sample of 100 electricians in 2010 Is the above an example of descriptive or inferential statistics? O A. It is inferential statistics because it uses two samples to make a claim about two populations. O B. It is descriptive statistics because it uses a sample to make a claim about a population. O C. It is descriptive statistics because it summarizes the information in two samples O D. It is inferential statistics because it summarizes the information In a sample. Click to select your answer and then click Check Answer CHAT AN All parts showing O I'm Cortana. Ask me anything.10.2 Limits and Continuity 741 14, In Ferrises 15 and 16, ideanty which (if any) of the given preppha meperical functions that are continuous on their In Evertiers 17-24, the graph of a function / is given Drier Just [HINT: See Quick Examples 1-4| ALL ming whether of the gives paint a fix commas discontinu out. or singular, [HINT. Soc Quick Examples S and 5.] 17. 18 20. 12. 16. AL 24.2. (6 points) Discuss briefly the difference between descriptive and inferential statistics. 3. (9 points) At AUS, 800 students are randomly selected and asked the distance of their commute to campus. From this group a mean of 14.6 kilometers is computed. a. What is the population of interest? b. What is the sample? C. What is the parameter? d. What is the statistic