Questions: The Multiplicative Laws Of Probability

1. What is the estimated project completion date? (Assume there are no holidays and ignore the sunk cost of the planning team’s effort)

What is the probability that a randomly selected order will require between three and six days?

Please check your numbers again, some of them seem incorrect. For example, how is that possible the subset has a more extended age range than the total sample?

Based on past data, the current control limit for the organization is 99.73% for this process, with the random selection of 16 soles over a 15 hour period for a size 10. Therefore, in order to improve quality we must set up control limits for sample means using standard deviation. The random selection of 16 soles we must find the overall mean to calculate its control limits.

Starting to look at individuals of note since going over everyone would take me all year. But first, the genders and my guess of age before I start with the individuals. Starting from the top left corner: male 70, female 30, male 25, male 40, male 50, male 60, female 50, female and another 50, Male 35, male 30, male 27, male 26, male 70, male 40, male 30. Now restarting at the bottom left corner: male 26, male 30, male 35, female 30, male 29, male 30, male 55, male 25, and male 35. As I stand here looking at this data, the vast majority are male and most look under 50 to me. The woman I chose as my focal point is in bright clothing with blonde, short hair and black sunglasses. The man next to her has a black overcoat with a beard that makes his mouth looks to be nonexistent. The man with the bright suit and the mustache two people away from the focal points reminds me the most of the 80's and my father's old mustache.

The ages are between the numbers 17 up to 32. Four people age is missing out of 80 people. There are 19 year old than the rest of the ages. It percentage is 33.8%. 18 years of age have the second higher percentage, which is 26.3. So by looking at this table we can tell that majority of the people are 18 and 19.

Gender is split relatively evenly with a male proportion of 53.3% slightly greater than a female 46.7%, Figure 5. This compares to the gender split of the UK population from the 2011 General Census, identifying that 50.89% and 49.11% of the population identified as female and male respectively (ONS.gov.uk, 2012). The sample is not exact, but with less than a 5% deviance is relatively accurate representation of the total potential population.

Of the 100 respondents, the younger adopters who fall under the age group 18-34 either

In 2012, the sex ratio was about sixteen women to every ten men in the age bracket

This Punnett square shows that there is a 50% chance that the young woman will have

25-58 years old made up the largest age group with 38.1% of total population of Japan. (Indexmundi, 2015)

P(s) + P(d) = 1 or 100%, therefore, P(s) = 100% - P(d). We know there are 365 days in a year, out of all those days what is the probability that 2 people have the same birthday. For every person in the group you subtract the number of days in the year. For example, if there are 30 people you would subtract 30 from 365 and that would give you 335. Then you would subtract divide (365!/335!)/(365)^30, that would give you .2937 which you then would convert into percentage 29.37%. So 29.37% is the percentage and probability that people have different birthdays out of the 30. We are trying to find out what the probability is for people who have the same birthday. In order to determine that you would take the formula given above and then plug the numbers in. P(s)=100%-29.37%. You would then end up with P(s)

Table 1 reveals age wise distribution of the respondents. It shows that 45 percent respondent

3. Cecil rice export is planning on providing incentives for senior personnel to rotate into other shifts to better mix personnel among the shifts. If the same control charts were used for all three shifts, what would be the control limits of these charts?

From the chart, we can see that most of our samples are made up of people of age 18 – 24, which made up of almost 95.24% (40 out of 42) of our samples. There are only 2.38% (1 out of 42) of the samples are aged between 25 to 34 and another 2.38% (1 out of 42) is from the age group of 75 or older.