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Solnce55 [7]
3 years ago
9

Space shuttle Challengerexploded because of O-ring failure shortly after it was launched. O-ring damage and temperature at time

of launch for the 23 space shuttle flights that preceded the Challenger. The data is reproduced below.
Flights with O-ring damage 43 57 58 63 70 70 75
Flights with no O-ring damage 66 67 67 67 68 69 70 70 72 73 75 76 76 78 79 81
Is the mean launch temperature for fights with O-ring damage significantly less than for flights with no O-ring damage? Use 5% level of significance.
Mathematics
1 answer:
arlik [135]3 years ago
3 0

Answer:

The mean launch temperature for flights with O-ring damage is significantly lesser than Flights with No O-ring

Step-by-step explanation:

Let

Null hypothesis : H0 : μ1 ≥ μ2

Alternate hypothesis : Ha : μ1 < μ2

next calculate the test statistic

t = -2.312

calculate the P-value

p-value = T.DIST ( t ,df )  (  excel function )

            = 0.0270

Given that P-value ( 0.020 ) < level of significance ( 0.05 ) we will not fail to reject the null hypothesis

Attached below is the detailed solution

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An exit poll of 1000 randomly selected voters found that 515 favored measure A. a. Construct a 99% confidence interval for the s
never [62]

Answer:

Step-by-step explanation:

Given that an  exit poll of 1000 randomly selected voters found that 515 favored measure A.

Sample proportion p = \frac{515}{1000} =0.515

q=1-0.515 =0.485\\n =1000\\SE = \sqrt{\frac{pq}{n} } \\=0.158\\

Margin of error 99% = 2.58*SE

=2.58*0.0158\\=0.0408

99% confidence interval =(0.515-0.0408, 0.515+0.0408)\\= (0.474, 0.556)

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

H_0: p =0.5\\H_a: p >0.5\\

(Right tailed test)

STd error = \sqrt{\frac{0.5*0.5}{1000} } \\=0.0158

Test statistic Z = p diff/std error =\frac{0.015}{0.0158} \\\\=0.9487

p value = 0.1714

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3 years ago
If the null hypothesis is inside the confidence interval, then the decision was likely to ________ using hypothesis testing.
ololo11 [35]

Answer:

B: Retain the null hypothesis

Step-by-step explanation:

In the relationship between the confidence interval and hypothesis, it is stated that:

When the confidence interval is constructed, all values that fall inside the interval are considered possible values for the parameter that we are estimating while values that fall outside the interval are rejected as they are considered not possible or realistic values.

Now, If the value of the parameter specified by the null hypothesis falls inside the given confidence interval, then we will fail to reject the null hypothesis at the corresponding significance level. However, If the value specified by the null hypothesis doesn't fall inside the given confidence interval, then the null hypothesis can be rejected at the corresponding significance level.

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