Calculate the question below.

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 4 points Amna is a student of Zayed university who obtained following scores in the two subjects that she studied. The table below also summarizes the class averages and standard deviations in both classes while there were 20 students in each class. Amna's Scores Class Mean Class St. Deviation Business Calculus 3.80 3.75 0.15 Business Statistics 3.60 3.25 0.60 Her professor suggested her to look at the standardized grades (z-scores) to better judge her performance. What can be suggested by looking at the z-scores? Amna performed best in Business Calculus because it has a higher score. Amna performed best in Business Statistics because it has a higher z-score. Amna performed best in Business Calculus because it has a higher z-score. Amna performed best in Business Statistics because it has a lower z-score.56. A binary communication channel transmits a sequence of \"bits" (05 and 15). Suppose that for any particular bit trans mitted, there is a 10% chance of a transmission error (a 0 becoming a 1 or a l becoming a 0). Assume that bit errors occur independently of one another. 21. Consider transmitting 1000 bits. What is the approximate probability that at most 125 transmission errors occur? b. Suppose the same 1000bit message is sent two different times independently of one another. What is the approx imate probability that the number of errors in the rst transmission is within 50 of the number of errors in the second? Look at slide 25 in the Descriptive and Inferential Statistics & Interpreting Findings lecture slides. Is the odds ratio for "2 or more high-risk diagnoses vs 1 or (" significant? Table 2. Logistic Regression Analysis of Polypharmacy (N = 142, P=.00) Odds Confidence Ratio Interval 2 or more high-risk 4.75 2.0-11.2 .00 diagnoses vs I or 0 Discharged to personal 3.07 1.3-7.2 health services vs home with self-care Yes No8. Figure 22 represents a trace from an oscilloscope where the ordinate is in volts an the abscissa is in milliseconds. Determine its discrete Fourier transform and sketch ; frequency spectrum. Use a sampling frequency of 2000 Hz. Check for periodicity ; choosing your data window. 8.00 3.00 -2.00 -7.00 -12.00 0.00 5.00 10.00 FIGURE 22: Oscilloscope trace for Problem 8