Questions
In a family with 6 children, excluding multiple births, what is the probability of having exactly...

In a family with 6 children, excluding multiple births, what is the probability of having exactly 2 girls?
Assume that having a boy is as likely as having a girl at each birth.

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A biotechnology company produced 201 doses of somatropin, including 9 which were defective. Quality control test 15 samples at random, and rejects the batch if any of the random samples are found defective. What is the probability that the batch gets rejected?

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A math professor finds that when she schedules an office hour for student help, an average of 3.2 students arrive. Find the probability that in a randomly selected office hour, the number of student arrivals is 5.

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The mean number of patients admitted per day to the emergency room of a small hospital is 2. If, on any given day, there are only 9 beds available for new patients, what is the probability that the hospital will not have enough beds to accommodate its newly admitted patients?

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In: Statistics and Probability

In a family with 6 children, excluding multiple births, what is the probability of having exactly...

In a family with 6 children, excluding multiple births, what is the probability of having exactly 2 girls?
Assume that having a boy is as likely as having a girl at each birth.

---------------------------------

A biotechnology company produced 201 doses of somatropin, including 9 which were defective. Quality control test 15 samples at random, and rejects the batch if any of the random samples are found defective. What is the probability that the batch gets rejected?

--------------------------------

A math professor finds that when she schedules an office hour for student help, an average of 3.2 students arrive. Find the probability that in a randomly selected office hour, the number of student arrivals is 5.

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The mean number of patients admitted per day to the emergency room of a small hospital is 2. If, on any given day, there are only 9 beds available for new patients, what is the probability that the hospital will not have enough beds to accommodate its newly admitted patients?

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In: Statistics and Probability

During the 1800s, and well into the 1900s, families took care of their own members whenever...

During the 1800s, and well into the 1900s, families took care of their own members whenever possible. Several generations lived together, with the younger generation taking care of the older and vice versa. Post 1900s, the joint family system started disintegrating.

What factors led to disintegration of the joint family system?

What has been the impact of this disintegration on aging people and long-term care?

Did disintegration have any benefits for health service organizations? Why or why not?

At the same time this shift occurred in the family structure, health care organizations were experiencing continuous changes in their operating styles. The long-term care system took some time to catch up with the changing nature of businesses. In the 1990s and early 2000s, long-term care was seen to experience several turbulent changes, particularly related to its operations, management, and structure. Research the South University Online Library and the Internet to find information on the changes in the long-term care system in the United States and respond to the following questions:

How have the operations, management, and structural changes of the 1990s and early 2000s impacted the long-term care system today?

What are the strengths and weaknesses of the present long-term care system in the United States?

In: Nursing

Tokyo Kikai Seisakusho

A newspaper printing press system is more than a hundred feet long, stands four or five stories tall, and weighs 2 million pounds. Only about ten of the systems are sold each year in the United States. Because of the size and cost, a newspaper may update its system, rather than replace it, by buying “additions.”By the 1990s, Goss International Corp. was the only domestic maker of the equipment in the United States and represented the entire U.S. market. Tokyo Kikai Seisakusho (TKSC), a Japanese corporation, makes the systems in Japan. In the 1990s,TKSC began to compete in the U.S. market, forcing Goss to cut its prices below cost. TKSC’s tactics included offering its customers “secret” rebates on prices that were ultimately substantially less than the products’ actual market value in Japan. According to TKSC office memos, the goal was to “win completely this survival game” against Goss, the “enemy.” Goss filed a suit in a federal district court against TKSC and others, alleging illegal dumping. At what point does a foreign firm’s attempt to compete with a domestic manufacturer in the United States become illegal dumping? Was that point reached in this case? Discuss.

In: Other

Here are summary statistics for randomly selected weights of newborn​ girls: nequals180​, x overbarequals30.8 ​hg, sequals7.5...

Here are summary statistics for randomly selected weights of newborn​ girls: nequals180​, x overbarequals30.8 ​hg, sequals7.5 hg. Construct a confidence interval estimate of the mean. Use a 95​% confidence level. Are these results very different from the confidence interval 29.7 hgless thanmuless than32.9 hg with only 17 sample​ values, x overbarequals31.3 ​hg, and sequals3.1 ​hg?

In: Statistics and Probability

Here are summary statistics for randomly selected weights of newborn​ girls: nequals176​, x overbarequals32.7 ​hg, sequals6.8...

Here are summary statistics for randomly selected weights of newborn​ girls: nequals176​, x overbarequals32.7 ​hg, sequals6.8 hg. Construct a confidence interval estimate of the mean. Use a 99​% confidence level. Are these results very different from the confidence interval 31.3 hgless thanmuless than34.5 hg with only 18 sample​ values, x overbarequals32.9 ​hg, and sequals2.4 ​hg?

In: Statistics and Probability

Here are summary statistics for randomly selected weights of newborn​ girls: nequals177​, x overbarequals33.4 ​hg, sequals6.4...

Here are summary statistics for randomly selected weights of newborn​ girls: nequals177​, x overbarequals33.4 ​hg, sequals6.4 hg. Construct a confidence interval estimate of the mean. Use a 99​% confidence level. Are these results very different from the confidence interval 31.3 hgless thanmuless than35.1 hg with only 13 sample​ values, x overbarequals33.2 ​hg, and sequals2.2 ​hg?

In: Statistics and Probability

what does it mean when a study says "study limitations include the cross sectional design, which...

what does it mean when a study says "study limitations include the cross sectional design, which does not allow causality to be determined between the girls activity and maternal behaviors and cognitions, and the small sample size of participants, who were a relatively homogeneous sample of mothers and daughters in terms of socio economic status." ? what is it saying about the limitations?

In: Statistics and Probability

Here are summary statistics for randomly selected weights of newborn​ girls: nequals159​, x overbarequals32.4 ​hg, sequals6.8...

Here are summary statistics for randomly selected weights of newborn​ girls: nequals159​, x overbarequals32.4 ​hg, sequals6.8 hg. Construct a confidence interval estimate of the mean. Use a 98​% confidence level. Are these results very different from the confidence interval 31.2 hgless thanmuless than34.6 hg with only 16 sample​ values, x overbarequals32.9 ​hg, and sequals2.6 ​hg?

In: Statistics and Probability

Assume that a gender selection method was used by a couple trying to conceive a girl....

Assume that a gender selection method was used by a couple trying to conceive a girl. Let x be the number of girls in three births. Assuming that the probability of using this gender selection method is 63% effective in conceiving a girl, list the probability distribution of a couple having three children.

x P(x)
0
1
2
3

(Please show all work.)

In: Statistics and Probability