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1.

Continuous variables in the data

  • Age in years.
  • A number of medications used.

Categorical variables in the data

  • Participant ID Number.
  • Preferred Language.
  • It fractured hip, leg, arm or spine.
  • Ability to take care of own personal needs.
  • Past smoke history.

2.

Frequencies and Percentages for the Categorical variables

 

 

 

Preferred Language
 FrequencyPercentValid PercentCumulative Percent
ValidEnglish2943.943.943.9
Spanish3756.156.1100.0
Total66100.0100.0 

 

 

 

 

 

 

 

 

Fractured hip, leg, arm or spine
 FrequencyPercentValid PercentCumulative Percent
ValidNo5583.383.383.3
Yes1116.716.7100.0
Total66100.0100.0 

 

 

Ability to care of own personal needs
 FrequencyPercentValid PercentCumulative Percent
ValidCan do3857.657.657.6
Can do with some difficulty1522.722.780.3
Cannot do without help1319.719.7100.0
Total66100.0100.0 

 

 

Smoke status
 FrequencyPercentValid PercentCumulative Percent
ValidNonsmoker4263.663.663.6
smoker2436.436.4100.0
Total66100.0100.0 

 

 

 

Participant ID Number
 FrequencyPercentValid PercentCumulative Percent
ValidAA-3111.51.51.5
AD-2911.51.53.0
AF-0211.51.54.5
AG-2511.51.56.1
AG-4511.51.57.6
AM-0111.51.59.1
BS-5211.51.510.6
CC-6311.51.512.1
CK-4211.51.513.6
CN-1811.51.515.2
CR-0311.51.516.7
DC-0911.51.518.2
DH-3311.51.519.7
EG-2411.51.521.2
EG-4611.51.522.7
EK-3411.51.524.2
EM-5111.51.525.8
FA-5011.51.527.3
FP-0411.51.528.8
GC-0511.51.530.3
GK-1111.51.531.8
GV-2311.51.533.3
HC-1011.51.534.8
HK-1211.51.536.4
HL-1711.51.537.9
HL-5511.51.539.4
IH-5411.51.540.9
JB-4711.51.542.4
JC-2211.51.543.9
JC-3911.51.545.5
JJ-4911.51.547.0
JK-1311.51.548.5
JK-3611.51.550.0
JMC-5611.51.551.5
KC-5911.51.553.0
KK-1411.51.554.5
KK-3511.51.556.1
KL-5711.51.557.6
KP-6411.51.559.1
KS-2011.51.560.6
LC-0611.51.562.1
MG-3011.51.563.6
ML-4111.51.565.2
MP-4811.51.566.7
MR-3211.51.568.2
MW-6711.51.569.7
OY-6511.51.571.2
RG-0711.51.572.7
RG-2611.51.574.2
RO-5311.51.575.8
RP-2811.51.577.3
RR-2711.51.578.8
SHC-5811.51.580.3
SIC-6211.51.581.8
SJ-0811.51.583.3
SJ-4311.51.584.8
SK-1511.51.586.4
SKC-6111.51.587.9
SWK-6611.51.589.4
TP-1911.51.590.9
WC-4011.51.592.4
YJK-3711.51.593.9
YK-1611.51.595.5
YK-6011.51.597.0
YL-6811.51.598.5
YYK-3811.51.5100.0
Total66100.0100.0 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Means and Standard deviations for the Continuous variables

 

Statistics
 Age in YearsNumber of Medications used regularly
NValid6666
Missing00
Mean74.733.27
Median73.503.00
Mode710
Std. Deviation6.3653.554
Variance40.50912.632
Skewness.3411.658
Std. Error of Skewness.295.295
Range2618
Minimum630
Maximum8918
Sum4932216

 

 

Question 3;

Null Hypothesis: The Proportion of English speaking patients is greater than 50%

Alternative Hypothesis: The Proportion of English speaking patients is not greater than 50%

Total number of patients = 66

Number of English speaking patients = 29

Proportion of English speaking patients = (29/66)

= 0.4393

= 43.93%

  1. Standard error and Z statistic

Let p be the proportion of English Speaking patients and the N be the total number of patients. The standard error was calculated using the following formula;

Standard Error =

Standard Error =

 

  1. Critical Z Value and the P value

The critical Z value from the tables is 1.6449 at alpha = 0.05

The P value was calculated using the following Excel code:

NORM.DIST (0.4393, 50, 0.061092, 1) and was found to be 0.000

The p value is less than Alpha = 0.05 hence the p value is significant.  We reject the Null hypothesis and conclude that the proportion of English speaking patients is not greater than 50%.

There is no enough evidence to support the null hypothesis.

 

 

Question 4;

a)

Hypothesis for the t-test

Null hypothesis: The Population mean for Nonsmoker group is equal to population mean of Smoker group

Alternative hypothesis: The Population mean for Nonsmoker group is not equal to population mean of Smoker group

Hypothesis for levene’s test

Null hypothesis: The population variances of group1 and group2 are equal

Alternative hypothesis: The population variances of group1 and group2 are not equal

b)

 

Group Statistics
 Smoke statusNMeanStd. DeviationStd. Error Mean
Number of Medications used regularlyNonsmoker422.983.127.483
smoker243.794.222.862

 

 

 

 

 

 

 

 

 

Independent Samples Test
 Levene’s Test for Equality of Variancest-test for Equality of Means
FSig.tdfSig. (2-tailed)Mean DifferenceStd. Error Difference95% Confidence Interval of the Difference
LowerUpper
Number of Medications used regularlyEqual variances assumed.755.388-.89564.374-.815.911-2.6351.004
Equal variances not assumed  -.82637.610.414-.815.988-2.8161.185

The calculated mean for smoker group is 2.98 while the calculated mean for non-smoker group is 3.79

 

c)

 

Confidence interval when equal variances are assumed

[-2.635, 1.004]

Lower limit = -2.635 Upper limit = 1.004

Confidence interval when equal variances are not assumed

[-2.816, 1.185]

Lower limit = -2.816 Upper limit = 1.185

d)

When equal variances are assumed, the critical t value is -0.895

When equal variances are not assumed the critical t value is -0.826

e)

The p value is 0.388. The p value is greater than 0.01. (0.388>0.01)

We therefore fail to reject the null hypothesis and conclude that the means for the Nonsmoker group and the Smoker group are not significantly different.

 

 

 

 

 

 

 

 

 

 

 

 

 

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