1.A sample of 36 students are drawn from the NUST student population, and their body weights are measured. Their results show a mean weight of 84 kg  with a standard deviation of 14.8 kg. If you construct a 90 % degree of confidence interval estimate for the unknown population mean. What will be the upper limit  (UL) for this confidence interval estimate? a. 66.80 b. 88.61 c. 95.20 d. None of the provided

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1.A sample of 36 students are drawn from the NUST student population, and their body weights are measured. Their results show a mean weight of 84 kg  with a standard deviation of 14.8 kg.

If you construct a 90 % degree of confidence interval estimate for the unknown population mean. What will be the upper limit  (UL) for this confidence interval estimate?

a.

66.80

b.

88.61

c.

95.20

d.

None of the provided

 

  1. A company which supplies ready-mixed concrete receives, on average, 6 orders per day. What is the probability that on any given day:  No orders will be received

a.

0.07342

b.

0.00248

c.

0.05345

d.

None of the provided

 

 

 

 

  1. Due to the sharp increase in the prices of urban properties over the last five years, only a small percentage of new city dwellers can afford to buy their own property. According to a recent survey, only 22% of these new city dwellers can afford to buy their own property. An estate agency who wanted to verify this, considered a random sample of 200 recent city dwellers, and found that only 38 of them bought their property in town. Test at the 5% significance level whether the percentage has changed.

 0.Calculate the sample part, p 

a.

0.22

b.

0.38

c.

0.19

d.

None of the provided

 

 

 

 

 

 

 

 

 

 

 

 

 

 

4.Due to the sharp increase in the prices of urban properties over the last five years, only a small percentage of new city dwellers can afford to buy their own property. According to a recent survey, only 22% of these new city dwellers can afford to buy their own property. An estate agency who wanted to verify this, considered a random sample of 200 recent city dwellers, and found that only 38 of them bought their property in town. Test at the 5% significance level whether the percentage has changed.

Select the suitable critical value for the decision rule

a.

1.645

b.

1.96

c.

2.575

d.

None of the Provided

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

  1. Due to the sharp increase in the prices of urban properties over the last five years, only a small percentage of new city dwellers can afford to buy their own property. According to a recent survey, only 22% of these new city dwellers can afford to buy their own property. An estate agency who wanted to verify this, considered a random sample of 200 recent city dwellers, and found that only 38 of them bought their property in town. Test at the 5% significance level whether the percentage has changed. Based upon the outcome of your test, What is the decision ?

a.

Reject Ho

b.

Do not Reject Ho

c.

Do not reject Ha

d.

None of the provided

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

6.A company which supplies ready-mixed concrete receives, on average, 6 orders per day. What is the probability that ten orders will be received during the next ten days?:

 

a.

0.09575

b.

0.04999

c.

0.10444

d.

None of the provided

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

  1. A company which supplies ready-mixed concrete receives, on average, 6 orders per day. What is the probability that on any given day: At least three orders will be received

a.

0.6463

b.

0.3333

c.

0.9380

d.

None of the provided

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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