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 This is the Multiple Choice Questions part. Each question has only one correct answer. You must answer all questions to get maximum marks.

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In hypothesis testing which of the following statement is true about the null and alternative hypotheses?

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Alternative hypothesis must be true", "No correct answer provided"], "matrix": ["2", 0, 0, 0], "distractors": ["", "", "", ""]}, {"type": "1_n_2", "useCustomName": false, "customName": "", "marks": 0, "showCorrectAnswer": false, "showFeedbackIcon": false, "scripts": {}, "variableReplacements": [], "variableReplacementStrategy": "originalfirst", "adaptiveMarkingPenalty": 0, "customMarkingAlgorithm": "", "extendBaseMarkingAlgorithm": true, "unitTests": [], "prompt": "

The statement in which you say there are no difference between the mean of two populations in two sample test is called the__________.

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Which of the following symbol used in one-tailed alternative hypothesis?

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The numerical value set for to do the hypothesis test is known as:

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The hypothesis that a researcher intends to prove is called the __________.

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The main differences between one-sample and two-sample hypothesis testing is that in the latter we are:

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What does the null hypothesis state in two-sample hypothesis testing?

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Which of the following represents the degrees of freedom for two- sample hypothesis test?

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If you try to prove that new method of marketing is more effective than traditional one, you should conduct a __________.

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One-way ANOVA is used when:

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The coefficient of correlation r can be in the range:

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A type I error occurs when:

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Which of the following value is not typically used significance level?

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Mr Smith believes that the mean income of doctors is now more than £50,000 per year. Which is the correct set of hypotheses to test this belief

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Confidence intervals are used to estimate

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If we have hypothesized a one-tail test for a large, one-sample mean test at an alpha of 0.05 ( critical value 1.645), and the Z(obtained) calculated to be +1.3, we would conclude __________.

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The test statistic computed in ANOVA is the __________.

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The test statistic for ANOVA is equal to:

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In the null hypothesis statement for the chi square test, the two variables are hypothesized to be:

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Degrees of freedom within in ANOVA is

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In the regression equation Y=a+bX, the coefficient “b” represents 

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Which of the following test would you use to determine whether a set of observed frequencies differ from their corresponding expected frequencies?

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The value of the correlation coefficient r =0.55 means

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The proportional reduction in error r2 sometimes called

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In hypothesis testing, one-sample z test is used instead of the one-sample t test if

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A survey of waiting time in two supermarkets in a queue for self-service payments shows the following results.

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n

 

\n
\n

N (Sample size)

\n
\n

S (standard deviation)

\n
\n

Mean (in minutes)

\n
\n

Asda

\n
\n

25

\n
\n

4

\n
\n

5

\n
\n

Tesco

\n
\n

30

\n
\n

6

\n
\n

7

\n
\n

Assume that the waiting times for all shoppers are normally distributed. Use a two-sample t-test with a 5% significance level to determine if there is a difference in waiting times at Asda and Tesco. 

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Whcih one is the null hypothesis?

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There is no difference between the wait times at Asda and Tesco

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There is difference between the wait times at Asda and Tesco

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Which one is the alternative hypothesis?

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There is no difference between the wait times at Asda and Tesco

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There is  difference between the wait times at Asda and Tesco

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Calculate pooled sample standard deviation (σx1-x2). (give your answer to 2 decimal place)

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Calculate the test statistics |t|. (Give your answer to 2 decimal place as positive value)

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Write down the number of degrees of freedom.

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Write down the critical value.

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Which one is the correct decision? 

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Which one is the correct conclusion for this test?

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There is no difference in waiting time between two supermarkets.

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There is difference in waiting time between two supermarkets.

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A bookstore in Liverpool street decided to investigate how sales of history books vary with price. On a random week, they have collected the price (in £) and number of sales for eight history books currently on sale in their store.

\n

Table: Sales of history books with corresponding price

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n

x

\n
\n

Price  (£)

\n
\n

1.99

\n
\n

2.50

\n
\n

3.25

\n
\n

0.99

\n
\n

6.99

\n
\n

5.00

\n
\n

3.50

\n
\n

1.98

\n
\n

y

\n
\n

Sales (in thousands)

\n
\n

25

\n
\n

13

\n
\n

28

\n
\n

42

\n
\n

8

\n
\n

14

\n
\n

21

\n
\n

34

\n
\n

 Give your answer to 2 decimal places when necessary.

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Calculate ∑x.

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Calculate ∑y.

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Calculate ∑x2.

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Calculate ∑y2.

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Calculate∑xy.

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Calculate the product moment correlation coefficient r.

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What does the value of the correlation coefficient calculated in part f) tell you about the relationship between the two variables?

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As the price decreases there is a tendency for sales to increase.

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Identify the regression line of history book sales on price.

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 Predict the sales for a history book priced at £1.50     

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