Question

In: Statistics and Probability

(20.44) Cola makers test new recipes for loss of sweetness during storage. Trained tasters rate the...

(20.44) Cola makers test new recipes for loss of sweetness during storage. Trained tasters rate the sweetness before and after storage. Here are the sweetness losses ( sweetness before storage minus sweetness after storage) found by 10 tasters for one new cola recipe:

2 0.3 0.6 2.1 -0.4 2.2 -1.3 1.2 1.1 2.2

Take the data from these 10 carefully trained tasters as an SRS from a large population of all trained tasters. Is there evidence at the 5% level that the cola lost sweetness? If the cola has not lost sweetness, the ratings after should be the same as before it was stored.

The test statisic is t = ___ (±0.001)

No Yes .

There is evidence that cytotoxic T lymphocytes (T cells) participate in controlling tumor growth and that they can be harnessed to use the body's immune system to treat cancer. One study investigated the use of a T cell-engaging antibody, blinatumomab, to recruit T cells to control tumor growth. The data below are T cell counts (1000 per microliter) at baseline (beginning of the study) and after 20 days on blinatumomab for 6 subjects in the study. The difference (after 20 days minus baseline) is the response variable.

Baseline 0.04 0.02 0 0.02 0.31 0.29

After 20 days 0.18 0.27 1.2 0.05 1.02 0.34

Difference 0.14 0.25 1.2 0.03 0.71 0.05

Do the data give evidence at the 4 % level that the mean count of T cells is higher after 20 days on blinatumomab? The test statistic is

t =____ (±0.001)

Yes No

can you please show how to get the T on a TI-84.

Solutions

Expert Solution

Problem 1:

H0: Null Hypothesis: = 0 ( the cola has not lost sweetness )

HA: Alternative Hypothesis: 0 ( the cola has lost sweetness ) (Claim)

From the given d = sweetness before storage minus sweetness after storage values,the following statistics are calculated:

n = 10

= 1.0

sd = 1.2037

= 0.05

df = 10 - 1 = 9

To get critical value of t corresponding to = 0.05 and df = 9 in TI - 84 Calculator, the following steps are done:

Step 1: Press "2ND"

Step 2: Press "VARS"

Step 3: Choose: invTC

Step 4: Press "ENTER"

Step 5: Input are (i.e., Confidence level: 0.95)

Step 6: Input df (Value: 9)

Step 7: Press:ENTER,

we get:
Critical value of t = 2.262

Test Statistic is given by:

Since calculated value of t = 2.627 is greater than critical value of t = 2.262, the difference is significant. Reject null hypothesis.

Conclusion:
The data support the claim that the cola has lost sweetness .

So,

Answers to questions asked:

The test statistic t = 2.627

Yes

Problem 2:

H0: Null Hypothesis: 0 ( the mean count of T cells is not higher after 20 days on blinatumomab )

HA: Alternative Hypothesis: > 0 ( the mean count of T cells is higher after 20 days on blinatumomab) (Claim)

From the given d = Baeline - After ,the following statistics are calculated:

n = 6

= 0.3967

sd = 0.4659

= 0.04

df = 6 - 1 = 5

To get critical value of t corresponding to = 0.04 and df = 5 in TI - 84 Calculator, the following steps are done:

Step 1: Press "2ND"

Step 2: Press "VARS"

Step 3: Choose: invTC

Step 4: Press "ENTER"

Step 5: Input are (i.e., Confidence level: 0.96)

Step 6: Input df (Value: 5)

Step 7: Press:ENTER,

we get:
Critical value of t = 2.191

Test Statistic is given by:

Since calculated value of t = 2.086 is less than critical value of t = 2.191, the difference is not significant. Fail to reject null hypothesis.

Conclusion:
The data do not support the claim that the mean count of T cells is higher after 20 days on blinatumomab.

So,

Answers to questions asked:

The test statistic t = 2.086

No


Related Solutions

An investigator wants to test the effectiveness of a new weight loss medication at reducing BMI...
An investigator wants to test the effectiveness of a new weight loss medication at reducing BMI (kg/m2). Suppose the following table represents the results from a SRS of individuals enrolled in the study. Assume a normal approximation is acceptable. (α=.05)(6 points) Patient BMI Pre-Test (kg/m2) BMI Post-Test (kg/m2) A 30.5 26.5 B 32.8 28.5 C 35.6 28.4 D 34.7 25.7 E 33.9 29.4 A) What type of test design is this? B) Write our your null and alternative hypotheses. H0:µd=____  ,Ha:...
A new test for a rare genetic condition has a false positive rate of 0.29% and...
A new test for a rare genetic condition has a false positive rate of 0.29% and a false negative rate of 0.87%. Assume that 99.42% of all tested individuals do not have the rare genetic condition. What is the probability that someone who tests positive actually does have the rare genetic condition?
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT